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PhD role: Synthesis of ON building blocks, method development & upscaling

Ansök    Jan 12    RISE Research Institutes of Sweden AB    Doktorand
PhD position: Synthesis of building blocks for ON constructs, method development and upscaling evaluation Join the Marie Sk?odowska-Curie Doctoral Network ON-TRACT (OligoNucleotide Technologies for Rapid Advancement of Cancer Therapies) and become part of a pioneering European research initiative! Host institution: RISE (Research Institutes of Sweden), Department of Chemical Process and Pharmaceutical Development, Södertälje, Sweden. The doctoral candidate... Visa mer
PhD position: Synthesis of building blocks for ON constructs, method development and upscaling evaluation
Join the Marie Sk?odowska-Curie Doctoral Network ON-TRACT (OligoNucleotide Technologies for Rapid Advancement of Cancer Therapies) and become part of a pioneering European research initiative!
Host institution: RISE (Research Institutes of Sweden), Department of Chemical Process and Pharmaceutical Development, Södertälje, Sweden. The doctoral candidate will be enrolled at Karolinska Institute.
Supervisor: Dr. Kristina Karalè (Non-Academic main supervisor, RISE, Södertälje, Sweden), Dr. Malgorzata Honcharenko (Academic Main supervisor, Karolinska Institute, Huddinge, Sweden).
Co-Supervisors: Prof. Samir EL Andaloussi, Prof. Roger Strömberg (Karolinska Institute, Huddinge, Sweden), Prof. Annemieke Madder (Ghent University), Dr. Martin Bollmark (RISE, Södertälje, Sweden).
Project description Oligonucleotide conjugates have become essential tools in today’s biomedical science and therapeutic development due to their ability to combine the specificity of nucleic acid sequences with the functional versatility of chemical or biological moieties. The goal of this PhD project is to develop methodology for oligonucleotide conjugates with different entities such as lipids and peptides/proteins/antibodies and to make constructs that can be tested by other participants of the consortium. This will involve the development of novel linkers, as well as novel entities (especially for enabling “click” reactions) in collaboration with Karolinska Institute.
Host laboratory RISE is a non-profit government owned research institute supporting innovative research in Sweden and globally. Department of Chemical Process and Pharmaceutical Development focuses on pharmaceutical R&D within chemistry process development, scale-up, synthesis and formulation of new chemical entities with high molecular complexity and challenging physicochemical properties. The department has fully equipped labs for organic synthesis and formulation screening, optimization and process development; oligonucleotide laboratory including oligonucleotide synthesiser, UVvis/fluorescence spectrometers, HPLC’s; dedicated oligonucleotide MS; high-field NMR (500 and 600 MHz), technical laboratory ranging from 10 ml to 10 L scale.
Secondments The project involves active cooperation with the listed groups, including scheduled visits to their labs, with the possibility of further visits as needed during the course of the work. A willingness to travel and spend time abroad is therefore essential:
o Malgorzata Honcharenko, Karolinska Institute, Hudinge, Sweden
o Prof. Florian Hollfelder, University of Cambridge, Cambridge, UK
o Prof. Annemieke Madder, Ghent University, Ghent, Belgium
Additional eligibility conditions
o A Master’s degree in Chemistry, Chemical Biology or a related field.
o More information regarding general and specific entry requirements to Karolinska Institute: The specific entry requirement for admission to doctoral education
Required Skills
o Strong background in organic synthesis. Experience with biomolecules (DNA, proteins) is a strong advantage.
o Proficiency in English equivalent to the course English B which can be documented by an internationally recognized test such as TOEFL or IELTS.
Benefits
o A thorough scientific education in the frame of a doctoral training program.
o The possibility to participate in specific international courses, workshops and conferences. o A strong involvement in a European research project with high international visibility.
o The possibility to perform research visits to internationally renowned research labs in Europe. o A prestigious three-year MSCA Fellowship.
o A competitive salary including mobility and family allowances. Enquire
Welcome with your application!
The closing date for applications is 28 February 2026, with interviews expected to take place in March/April. Your application should include the following:
1. Curriculum vitae.
2. A certificate of University examinations taken (with marks).
3. A final degree certificate translated in English. If, at the time of application, candidates should not be yet in possession of a degree certificate, they can submit it at the time of the examination.
4. Your statement of interest (limit of 2,500 characters) explaining why you wish to be considered for the fellowship and which qualities and experience you will bring to the role.
5. Contact details of up to two contacts for reference letters.
You should also, send all documents (application form and as listed) as a single pdf-file to [email protected].
Read more about the application process through EURAXESS here: Jobs and Career Opportunities in Europe | EURAXESS
For additional information on this project please contact Dr. Kristina Karalè ([email protected]).
Here you will find all 14 PhD positions and more information: ON-TRACT (OligoNucleotide Technologies for Rapid Advancement of Cancer Therapies) Jobs and Career Opportunities in Europe | EURAXESS Visa mindre
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Industrial PhD Student in Reasoning-Augmented Motion Planning with LLMs

Ansök    Aug 15    Scania CV AB    Doktorand
At TRATON Group, we believe that the whole can be greater than the sum of its parts. Together with our brands, we can make the future of transportation more sustainable — let’s make a difference together. The TRATON AB office, located in Södertälje, consists of experienced colleagues with various backgrounds and nationalities from all TRATON Group brands. We enjoy solving strategic problems cross-functional and cross-brand in the TRATON Group. We strive fo... Visa mer
At TRATON Group, we believe that the whole can be greater than the sum of its parts. Together with our brands, we can make the future of transportation more sustainable — let’s make a difference together.
The TRATON AB office, located in Södertälje, consists of experienced colleagues with various backgrounds and nationalities from all TRATON Group brands. We enjoy solving strategic problems cross-functional and cross-brand in the TRATON Group. We strive for a climate where opinions and knowledge are openly shared within and between teams, and we welcome new ideas in order to create dynamic synergies.
With its brands Scania, MAN, Volkswagen Truck & Bus, and International, TRATON Group is one of the world’s leading commercial vehicle manufacturers. Its offering comprises light-duty commercial vehicles, trucks, and buses. At TRATON, you are an important part of something bigger. Joining us means gaining access to the ins and outs of the entire transportation industry. As part of a global team of industry experts, you get to think bigger, experience more, and reach further. Being bigger also means being stronger.


Role Summary
We are looking for a driven person to fill the position of Industrial PhD Student, in a joint research initiative between TRATON Group R&D and the Division of Robotics, Perception and Learning (RPL) at KTH. The project aims to adapt large language models (LLMs) to enhance reasoning capabilities in motion planning for autonomous systems and offers a unique opportunity to work at the intersection of academia and industry.


Job Responsibilities
You will:
• Conduct research on reasoning-augmented motion planning using LLMs
• Design and evaluate algorithms for decision-making and autonomous motion planning
• Collaborate closely with researchers from TRATON Group and KTH
• Publish your findings at leading conferences and in journals
• Participate in courses, seminars, and workshops, and engage in the autonomous systems research community


Who You Are
You hold a Master’s degree in a relevant technical field, with strong mathematical foundations, proven programming skills, and a passion for deep learning, robotics, and autonomous systems. You are self-motivated, curious, and able to work both independently and in teams. You communicate complex ideas clearly and are fluent in English.
Experience with several of the following is beneficial:
• Python, C++
• LLMs, VLMs, Foundation Models
• Deep learning frameworks (e.g., PyTorch)
• Cloud-based development (e.g., AWS)
• Autonomous vehicles, decision-making, motion planning, or control theory
• Computer vision
• ROS
• Publications in peer-reviewed journals


We welcome applicants from all backgrounds — your unique experience and perspective are valuable to us.


We Offer
With TRATON Group R&D and RPL, you will find two dynamic research ecosystems that combine the strengths of industry and academia. RPL hosts around 65 PhD students and offers frequent seminars, workshops, and collaborative projects within the field of autonomous systems. TRATON Group R&D provides a world-class industrial setting where research can be applied to real-world challenges in sustainable transport.
Together, we offer an inspiring environment with access to leading experts, modern facilities, and a strong culture of collaboration and innovation. Throughout your doctoral journey, you will be encouraged and supported to explore new ideas, acquire new skills, and make meaningful contributions to the future of autonomous mobility.

TRATON Group R&D offers an engaging environment for professional growth, combining hands-on collaboration with experts in autonomous systems and access to extensive learning resources — both internal and external — alongside a culture that actively supports continuous development.

You will experience a dynamic, flexible workplace with hybrid work options, including Scania Sergel and Midway hubs. With a structured development plan and courses, TRATON Group R&D supports your career growth both locally and internationally. Benefits include a wellness allowance, TRATON result bonus, flexible hours, and company car leasing. We also host events for employees and their families, and Stockholm residents enjoy direct access to Södertälje via Scania Job Express buses.


Application
Your application should include a CV and any relevant certificates. We welcome all applicants and strive for diversity in our recruitment processes. Apply as soon as possible, no later than 2025-09-14. Screening will take place on an ongoing basis during the application period.
Logical and personality tests may be used as part of the selection process, and a background check may be required for this role.
If you have questions or would like more information, please contact Ben Huber, recruiting manager, at [email protected].

We look forward to your application! Visa mindre
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Industrial PhD - foundation models & sensor data

Ansök    Dec 20    Scania CV AB    Doktorand
. Tackling real-world challenges in autonomous systems We hope you are a talent who has recently finished your master's program or is about to graduate in the next few months! Or maybe you have one or two years of work experience. Perhaps you are looking for a PhD position at a top university while remaining close to the industry to understand real-world problems. Please continue reading if this is you. The role Scania is developing autonomous transp... Visa mer
.

Tackling real-world challenges in autonomous systems

We hope you are a talent who has recently finished your master's program or is about to graduate in the next few months! Or maybe you have one or two years of work experience. Perhaps you are looking for a PhD position at a top university while remaining close to the industry to understand real-world problems. Please continue reading if this is you.

The role

Scania is developing autonomous transport solutions and has recently announced autonomous trucks for mining applications. Widening the operational design domain (ODD) from confined areas to, e.g., transportation of goods on public roads is a significant undertaking. There will always be so-called long-tail problems, scenarios that are hard, or even impossible, to foresee and test the system against. The autonomous system must therefore be so generic that it can handle such unseen scenarios in the ODD. In recent years, foundation models have shown promise in enabling generalization and reasoning and a thriving research field is investigating different applications of these models, including autonomous driving.

One key aspect of autonomous systems is their sensing of the external environment. For autonomous vehicles, a sensor setup of, e.g., cameras, lidars, and radars is used. The sensor data must be processed in such a way that no important information is lost but it is still compressed to a manageable amount for the downstream tasks to be performed in a timely manner.

Scania and KTH are setting up a joint project, Multi-modal Open-set Perception for Safer Autonomous Trucks (MOPS), partly funded by Vinnova, where sensor data processing for and by foundation models will be studied in the context of autonomous driving. In this project, Scania will hire one industrial PhD student who will conduct research in this area supervised by KTH and Scania. 

The PhD student will be employed by Scania CV AB, and affiliated to the Division of Robotics, Perception and Learning, KTH Royal Institute of Technology. A PhD student position constitutes normally 80% academic work and includes coursework and research. The academic supervision is done by Olov Andersson, more information about his research and research group can be found here https://www.kth.se/profile/olovand

We are dedicated to an inclusive and diverse workplace, and you will be working alongside a diverse and talented group of developers, designers, and engineers who are committed to devising innovative solutions that redefine the way we deliver and learn.

Job responsibilities

* Research, write scientific papers, write PhD thesis.
* Take academic courses required by the PhD education.
* Work with applications of foundation models and other deep learning methods.
* Support and coach product development projects in proof-of-concepts validating approaches resulting from the research.
* Tech transfer of the research results to ensure long-term benefits at Scania, taking non-technical feasibility into account.


Your profile

* You hold, or will soon obtain a Master of Engineering degree (or equivalent) in applied mathematics, computer science, machine learning, robotics, or a related technical field. 
* Knowledge in deep learning.
* Preferably you have written a Master´s thesis on deep learning, and have solid theoretical knowledge of foundation models, sensor data, and vehicle autonomous systems.
* Strong coding skills and the ability to demonstrate results through running software on robotic platforms.
* Fluency in English, both in writing and speech.


If you consider this to be your dream job and feel that you have a fair share of what is mentioned above, please apply!

Our offer

We offer a healthy and inspiring workplace with respect for the individual, where you have great opportunities to shape your work and your future. Your personal and professional development is important, and we encourage and support it. We offer permanent relocation support for foreign applicants. 


For additional information

Thomas Gustafsson, Scania developer and project leader of this project, E-mail: [email protected]
Mohammad Nazari, Scania developer and product owner, E-mail: [email protected]
Maria Linnarsson, Scania group manager, E-mail: [email protected]
Olov Andersson, academic supervisor at KTH, E-mail: [email protected]

Application

Selections and interviews will take place throughout the application period. Please apply no later than 2025-01-27. 

Your application should include a CV, and degree certificate or marksheets. Instead of a cover letter, please answer the questions stated when you submit your application. A background check might be conducted for this position. Visa mindre
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Industrial PhD: Real-Time Insights into Tyre Dynamics

Ansök    Maj 12    Scania CV AB    Doktorand
. We drive the shift! Scania is undergoing a transformation from being a leading supplier of trucks, buses, and engines to providing complete and sustainable transport solutions. Together with TRATON and our sister brands MAN, Volkswagen Truck & Bus, and International, we are working to shape the future of mobility with innovative and environmentally conscious solutions. Our values – customer first, respect, team spirit, responsibility, and elimination... Visa mer
.

We drive the shift!

Scania is undergoing a transformation from being a leading supplier of trucks, buses, and engines to providing complete and sustainable transport solutions. Together with TRATON and our sister brands MAN, Volkswagen Truck & Bus, and International, we are working to shape the future of mobility with innovative and environmentally conscious solutions. Our values – customer first, respect, team spirit, responsibility, and elimination of waste – are at the heart of everything we do. Together, we are at the forefront of creating a sustainable future.

Role summary

The increasing availability of data collected from connected vehicles presents a unique opportunity to revolutionise the understanding of tyre behaviour and performance in real-world conditions. Tyres play a critical role in vehicle safety, efficiency, and environmental impact, yet many of their key properties—such as wear, rolling resistance, grip, and inflation pressure—remain difficult to characterise comprehensively across diverse operating scenarios.

Today, hundreds of thousands of vehicles are equipped with sensors and telematics systems that generate large-scale, real-time data streams. This data includes information about the vehicle, such as load, speed, tyre pressure, temperature, and ambient conditions, offering unprecedented insights into the complex interaction between tyres, vehicles, and infrastructure.

The ultimate goal is to develop methodologies that allow for nearly real-time assessment of tyre properties under varying operational and environmental conditions. This will support innovations in tyre and vehicle design, predictive maintenance, and sustainable transport strategies. The project contributes to the broader vision of intelligent transportation systems, where data-driven insights enable safer, more efficient, and environmentally conscious mobility.

Candidate profile

The ideal candidate holds a Master’s in Vehicle Dynamics, Mechanical Engineering, Physics, or a related field, with strong analytical skills, the ability to work independently, and excellent English communication. They should be confident presenting insights and committed to becoming an expert in the field.

Skills
Required qualifications:
* Good knowledge of tyre mechanics and vehicle dynamics.
* Competence in data analysis and statistical modelling with tools such as Python and MATLAB.
* Experience working with large datasets and time-series data from sensors or telematics systems.
* Signal analysis and processing.
* Strong problem-solving mindset and a proactive, solution-oriented attitude.
* Excellent communication and presentation skills, able to translate complex technical insights into actionable conclusions for various stakeholders.


Meritorious - preferred qualifications:
* Experience in machine learning applications related such as predictive maintenance or pattern recognition.
* Experience with vehicular simulation tools (e.g., Adams or Simulink).
* Proficiency in Swedish (written and spoken) for effective internal communication.
* Preferably at least 2 years in work life involving engineering work.


We offer

We offer a dynamic, flexible workplace with hybrid work options, including Scania Sergel and Midway hubs. With a structured development plan and courses, Scania supports your career growth both locally and internationally.  

Benefits include training at our health center, Gröndal, or wellness allowance, result bonus, flexible hours, and company car leasing. Scania also hosts events for employees and their families, and Stockholm residents enjoy direct access to Södertälje via Scania Job express buses.

Application

Your application should include a CV and any relevant certificates. We welcome all applicants and strive for diversity in our recruitment processes.

Apply as soon as possible, no later than 2025-05-31. Screening will take place on an ongoing basis during the application period. Logical and personality tests may be used as part of the selection process, and a background check may be required for this role.

If you have questions or would like more information, please contact: Jukka Hyttinen (Industrial supervisor) [email protected] or Niklas Sehlstedt (unit manager) [email protected].

We look forward to your application! #LI-Hybrid Visa mindre
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Industrial PhD - foundation models & sensor data

Ansök    Jan 19    Scania CV AB    Doktorand
. Tackling real-world challenges in autonomous systems We hope you are a talent who has recently finished your master's program or is about to graduate in the next few months! Or maybe you have one or two years of work experience. Perhaps you are looking for a PhD position at a top university while remaining close to the industry to understand real-world problems. Please continue reading if this is you. The role Scania is developing autonomous transp... Visa mer
.

Tackling real-world challenges in autonomous systems

We hope you are a talent who has recently finished your master's program or is about to graduate in the next few months! Or maybe you have one or two years of work experience. Perhaps you are looking for a PhD position at a top university while remaining close to the industry to understand real-world problems. Please continue reading if this is you.

The role

Scania is developing autonomous transport solutions and has recently announced autonomous trucks for mining applications. Widening the operational design domain (ODD) from confined areas to, e.g., transportation of goods on public roads is a significant undertaking. There will always be so-called long-tail problems, scenarios that are hard, or even impossible, to foresee and test the system against. The autonomous system must therefore be so generic that it can handle such unseen scenarios in the ODD. In recent years, foundation models have shown promise in enabling generalization and reasoning and a thriving research field is investigating different applications of these models, including autonomous driving.

One key aspect of autonomous systems is their sensing of the external environment. For autonomous vehicles, a sensor setup of, e.g., cameras, lidars, and radars is used. The sensor data must be processed in such a way that no important information is lost but it is still compressed to a manageable amount for the downstream tasks to be performed in a timely manner.

Scania and KTH are setting up a joint project, Multi-modal Open-set Perception for Safer Autonomous Trucks (MOPS), partly funded by Vinnova, where sensor data processing for and by foundation models will be studied in the context of autonomous driving. In this project, Scania will hire one industrial PhD student who will conduct research in this area supervised by KTH and Scania. 

The PhD student will be employed by Scania CV AB, and affiliated to the Division of Robotics, Perception and Learning, KTH Royal Institute of Technology. A PhD student position constitutes normally 80% academic work and includes coursework and research. The academic supervision is done by Olov Andersson, more information about his research and research group can be found here https://www.kth.se/profile/olovand

We are dedicated to an inclusive and diverse workplace, and you will be working alongside a diverse and talented group of developers, designers, and engineers who are committed to devising innovative solutions that redefine the way we deliver and learn.

Job responsibilities

* Research, write scientific papers, write PhD thesis.
* Take academic courses required by the PhD education.
* Work with applications of foundation models and other deep learning methods.
* Support and coach product development projects in proof-of-concepts validating approaches resulting from the research.
* Tech transfer of the research results to ensure long-term benefits at Scania, taking non-technical feasibility into account.


Your profile

* You hold, or will soon obtain a Master of Engineering degree (or equivalent) in applied mathematics, computer science, machine learning, robotics, or a related technical field. 
* Knowledge in deep learning.
* Preferably you have written a Master´s thesis on deep learning, and have solid theoretical knowledge of foundation models, sensor data, and vehicle autonomous systems.
* Strong coding skills and the ability to demonstrate results through running software on robotic platforms.
* Fluency in English, both in writing and speech.


If you consider this to be your dream job and feel that you have a fair share of what is mentioned above, please apply!

Our offer

We offer a healthy and inspiring workplace with respect for the individual, where you have great opportunities to shape your work and your future. Your personal and professional development is important, and we encourage and support it. We offer permanent relocation support for foreign applicants. 


For additional information

Thomas Gustafsson, Scania developer and project leader of this project, E-mail: [email protected]
Mohammad Nazari, Scania developer and product owner, E-mail: [email protected]
Maria Linnarsson, Scania group manager, E-mail: [email protected]
Olov Andersson, academic supervisor at KTH, E-mail: [email protected]

Application

Selections and interviews will take place throughout the application period. Please apply no later than 2025-01-27. 

Your application should include a CV, and degree certificate or marksheets. Instead of a cover letter, please answer the questions stated when you submit your application. A background check might be conducted for this position. Visa mindre
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Industrial PhD Student: Smart Production System

Ansök    Aug 1    Scania CV AB    Doktorand
Scania is now undergoing a transformation from being a supplier of trucks, buses and engines to a supplier of complete and sustainable transport solutions. Background Scania’s vision is to drive the shift towards a sustainable transport system, creating a world of mobility that is better for business, society and the environment. As a part of this vision, we are now looking for a industrial Ph.D. student, in the area of Smart Production Systems for Susta... Visa mer
Scania is now undergoing a transformation from being a supplier of trucks, buses and engines to a supplier of complete and sustainable transport solutions.

Background
Scania’s vision is to drive the shift towards a sustainable transport system, creating a world of mobility that is better for business, society and the environment.

As a part of this vision, we are now looking for a industrial Ph.D. student, in the area of Smart Production Systems for Sustainable Development to be part of our exciting journey. We stand in front of a big change when it comes to the way of working in the Production, Maintenance and Logistics areas at Scania. However, digitalization brings a wealth of IT solutions that will support our business. The industrial Ph.D. student will help Scania through this change. The position will be placed at Scania Global Industrial Development but a significant part of the work will be performed in close collaboration with Scania Industrial Maintenance.

Scania Global Industrial Development is responsible for strengthening and developing Scania's joint expertise in production technology, quality and industrial IT. Scania Industrial Maintenance (Scania IM) is a company for technical support in production and is part of Scania CV AB. Scania IM has a broad offer within industrial projects and is responsible for production and premises maintenance.

Position
This position is targeting research in Sustainability and Smart Production Systems with a strong focus on Maintenance. The goal of the research is to investigate the potential of improving production toward sustainable targets by means of a data-driven approach. Focus areas of the research will be within data collection strategies in production, data modelling and the development of data analytics to exploit the sustainability potential in production for improved profitability. Both brownfield (upgrading existing production equipment) and greenfield scenarios (installing new production equipment with build-in connectivity) will be considered.

We expect you to,


• Be highly motivated with passion and enthusiasm for production systems research and new digital technologies
• Take part in academic conferences abroad, writing publications and theses
• Take Ph.D. level courses as part of the doctoral program
• Broaden your national and international network, both in academia and industry

As an industrial Ph.D. student, you are fully employed by Scania and you will have an industrial supervisor at Scania. Furthermore, KTH, Royal Institute of Technology will be the academic partner. Therefore, you will also have an academic supervisor at  KTH. Normally, an Industrial Ph.D. study takes 5 years to conclude.   

 

Your profile
You have a M.Sc. with a relevant focus, or the corresponding qualifications required to be accepted as a Ph.D. student at KTH. Ideally, you have been working for a few years within the field and would like to develop your skills in Smart Production, Sustainability and Maintenance. Furthermore, you would like to improve your analytic skills and your capability to tackle complex problems with a systematic approach. As a person you are persistent, creative, independent and a good team player. You should also have good communication skills and a very strong ability to express yourself well in English, in both speech and writing. 

Contacts
Anders Berglund VER, [email protected]

Erik Vikdahl QM, [email protected]

Maheshwaran Gopalakrishnan VER, [email protected]

Application
Please send your CV, personal letter and relevant certificates via scania.com as soon as possible, no later than September 11th 2022
A background check might be conducted for this position

JobID: 20217239


Scania is a world-leading provider of transport solutions. Together with our partners and customers we are driving the shift towards a sustainable transport system. In 2020, we delivered 66,900 trucks, 5,200 buses as well as 11,000 industrial and marine power systems to our customers. Net sales totalled to over SEK 125 billion, of which over 20 percent were services-related. Founded in 1891, Scania now operates in more than 100 countries and employs some 50,000 people. Research and development are mainly concentrated in Sweden. Production takes place in Europe and Latin America with regional product centres in Africa, Asia and Eurasia. Scania is part of TRATON GROUP. For more information visit: www.scania.com. Visa mindre
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Industrial PhD Student: Smart and Sustainable Production

Ansök    Feb 17    Scania CV AB    Doktorand
Scania is now undergoing a transformation from being a supplier of trucks, buses and engines to a supplier of complete and sustainable transport solutions. Background We are looking for a PhD student, in the area of Smart and Sustainable Production to be part of our exciting journey. We stand in front of a big change both when it comes to the way of working in the Production and Logistics as well as the IT solutions that will support our business together... Visa mer
Scania is now undergoing a transformation from being a supplier of trucks, buses and engines to a supplier of complete and sustainable transport solutions.

Background
We are looking for a PhD student, in the area of Smart and Sustainable Production to be part of our exciting journey. We stand in front of a big change both when it comes to the way of working in the Production and Logistics as well as the IT solutions that will support our business together with all that digitalization brings. The PhD position will be placed at Scania Global Industrial Development. A significant part of the work will be performed in close collaboration with Scania Industrial Maintenance.

Scania Global Industrial Development is responsible for strengthening and developing Scania's joint expertise in production technology, quality and industrial IT. Scania Industrial Maintenance (Scania IM) is a company for technical support in production and part of Scania CV AB. Scania IM’s has a broad offer within industrial projects and is responsible for production and premises maintenance.

Position
This position is targeting research in the area of Sustainability and Smart Production with a strong focus on Maintenance. The goal of the research is to understand the potential of improving production towards sustainable targets by means of a data driven approach. Focus areas of the research will be within data collection strategies in production, data modelling and the development of data analytics in order to exploit the sustainability potential in production whilst maintaining the same profitability. Typical sustainability targets are the optimization of energy usage and cooling fluid of production equipment as well as the minimization of waste end emissions in general. For the application and the industrialization of the findings, it is necessary to consider the implications of different scenarios, such as brownfield scenarios (upgrading existing production equipment) and greenfield scenarios (installing new production equipment with build-in connectivity), in the research.

As an industrial PhD student, you are fully employed by Scania and you will be assigned an industrial supervisor within Scania IM. Furthermore, you will be assigned an academic supervisor at the Royal Institute of Technology KTH. Normally, an Industrial PhD study takes 5 years to conclude.   

Your profile
You have a M.Sc. with a relevant focus or the corresponding qualifications required to be accepted as a PhD student at KTH. Ideally, you have been working for a few years within the field, and would like to develop your skills in Smart Production, Sustainability and Maintenance. Furthermore, you would like to improve your analytic skills and your capability to tackle complex problems with a systematic approach. You have a passion for research and the application of research results in an industrial environment. As a person you are persistent, creative, independent and a good team player. You should also have good communication skills and a very strong ability to express yourself well in English, in both speech and writing. 

Contacts
Anders Berglund TER, [email protected], +46855354105
Lina Ankargren QM, [email protected], +46855351195

Application
The application shall contain CV, personal letter and relevant certificates.
Please apply via scania.com as soon as possible, no later than March 3rd 2022

JobID: 20217239


Scania is a world-leading provider of transport solutions. Together with our partners and customers we are driving the shift towards a sustainable transport system. In 2020, we delivered 66,900 trucks, 5,200 buses as well as 11,000 industrial and marine power systems to our customers. Net sales totalled to over SEK 125 billion, of which over 20 percent were services-related. Founded in 1891, Scania now operates in more than 100 countries and employs some 50,000 people. Research and development are mainly concentrated in Sweden. Production takes place in Europe and Latin America with regional product centres in Africa, Asia and Eurasia. Scania is part of TRATON GROUP. For more information visit: www.scania.com. Visa mindre
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Industrial PhD Student: Smart and Sustainable Production

Ansök    Feb 2    Scania CV AB    Doktorand
Scania is now undergoing a transformation from being a supplier of trucks, buses and engines to a supplier of complete and sustainable transport solutions. Background We are looking for a PhD student, in the area of Smart and Sustainable Production to be part of our exciting journey. We stand in front of a big change both when it comes to the way of working in the Production and Logistics as well as the IT solutions that will support our business together... Visa mer
Scania is now undergoing a transformation from being a supplier of trucks, buses and engines to a supplier of complete and sustainable transport solutions.

Background
We are looking for a PhD student, in the area of Smart and Sustainable Production to be part of our exciting journey. We stand in front of a big change both when it comes to the way of working in the Production and Logistics as well as the IT solutions that will support our business together with all that digitalization brings. The PhD position will be placed at Scania Global Industrial Development. A significant part of the work will be performed in close collaboration with Scania Industrial Maintenance.

Scania Global Industrial Development is responsible for strengthening and developing Scania's joint expertise in production technology, quality and industrial IT. Scania Industrial Maintenance (Scania IM) is a company for technical support in production and part of Scania CV AB. Scania IM’s has a broad offer within industrial projects and is responsible for production and premises maintenance.

Position
This position is targeting research in the area of Sustainability and Smart Production with a strong focus on Maintenance. The goal of the research is to understand the potential of improving production towards sustainable targets by means of a data driven approach. Focus areas of the research will be within data collection strategies in production, data modelling and the development of data analytics in order to exploit the sustainability potential in production whilst maintaining the same profitability. Typical sustainability targets are the optimization of energy usage and cooling fluid of production equipment as well as the minimization of waste end emissions in general. For the application and the industrialization of the findings, it is necessary to consider the implications of different scenarios, such as brownfield scenarios (upgrading existing production equipment) and greenfield scenarios (installing new production equipment with build-in connectivity), in the research.

As an industrial PhD student, you are fully employed by Scania and you will be assigned an industrial supervisor within Scania IM. Furthermore, you will be assigned an academic supervisor at the Royal Institute of Technology KTH. Normally, an Industrial PhD study takes 5 years to conclude.   

Your profile
You have a M.Sc. with a relevant focus or the corresponding qualifications required to be accepted as a PhD student at KTH. Ideally, you have been working for a few years within the field, and would like to develop your skills in Smart Production, Sustainability and Maintenance. Furthermore, you would like to improve your analytic skills and your capability to tackle complex problems with a systematic approach. You have a passion for research and the application of research results in an industrial environment. As a person you are persistent, creative, independent and a good team player. You should also have good communication skills and a very strong ability to express yourself well in English, in both speech and writing. 

Contacts
Anders Berglund TER, [email protected], +46855354105
Lina Ankargren QM, [email protected], +46855351195

Application
The application shall contain CV, personal letter and relevant certificates.
Please apply via scania.com as soon as possible, no later than February 16th 2022

JobID: 20217239


Scania is a world-leading provider of transport solutions. Together with our partners and customers we are driving the shift towards a sustainable transport system. In 2020, we delivered 66,900 trucks, 5,200 buses as well as 11,000 industrial and marine power systems to our customers. Net sales totalled to over SEK 125 billion, of which over 20 percent were services-related. Founded in 1891, Scania now operates in more than 100 countries and employs some 50,000 people. Research and development are mainly concentrated in Sweden. Production takes place in Europe and Latin America with regional product centres in Africa, Asia and Eurasia. Scania is part of TRATON GROUP. For more information visit: www.scania.com. Visa mindre
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Industrial PhD Positions in “Perception” for Autonomous Vehicles

Ansök    Nov 9    Scania CV AB    Doktorand
At Autonomous Transport Solutions (ATS) Pre-Development & Research, Scania R&D, we pursue top-quality research and development of future cutting edge ATS concepts. We operate in agile and self-steered teams that work in close cooperation with the Volkswagen group, leading technology suppliers, and academic institutions, with the ambition to detect and evaluate upcoming technologies. Our culture is built based upon delivering added customer value through re... Visa mer
At Autonomous Transport Solutions (ATS) Pre-Development & Research, Scania R&D, we pursue top-quality research and development of future cutting edge ATS concepts. We operate in agile and self-steered teams that work in close cooperation with the Volkswagen group, leading technology suppliers, and academic institutions, with the ambition to detect and evaluate upcoming technologies. Our culture is built based upon delivering added customer value through research and practical experiments that iteratively lead to concepts for industrialization.

Background

Vehicle autonomy has been heavily promoted as a means of improving transportation safety on the roadway. This goal, however, requires the vehicle to possess a high level of scene perception and situational awareness — that is, the ability to correctly perceive and understand the surrounding environment, the other road users and how the scene evolves over time.

One of the reasons why human drivers can safely navigate in complex environments is that they augment their sensing capabilities and anticipate the need to react to potential hazards. As an example, a driver slows down because she foresees the risk of collisions that arises due to the presence of vulnerable road users, occlusions in the traffic scene, or unfavourable weather conditions.

Despite rapid research and innovation in scene perception for autonomous driving, dealing with complex traffic scenes and scalability for the production of L4-L5 capable autonomous vehicles is still challenging.  At the current time, there is no established theoretical and technological framework that enables the same capability for self-driving vehicles – specifically, when dealing with occluded traffic
participants.

Project Description

You will be developing novel theoretical concepts and evaluate these in practice on an experimental testbed. The goal of the project is to investigate and develop a new scene perception module that (1) incorporates multi-sensor information to create a scene representation including possible occlusions; (2) fuses the output of multiple developed algorithms to enhance the robustness of scene perception in different traffic scenarios; (3) integrates scene metadata for context-aware detection, classification and prediction of occluded road users; (4) operates under real-time conditions, which is validated through simulation and real data. The project target is to detect, classify, and track all road participants that share the road network with the ego vehicle.

To achieve these objectives, the industrial PhD students will pursue a multi-disciplinary research in the areas of sensor fusion, environment perception, behavioural learning, prediction, machine learning, artificial intelligence and probabilistic modelling.

This research project will be conducted in an agile multi-cultural research team within R&D. The team is responsible for concept evaluation and software development of environment perception algorithms for autonomous driving.

The results of this research project will be implemented in Scania’s development environment for autonomous driving and they will be experimentally evaluated in operating prototype vehicles (trucks and buses) equipped with sensors and a platform setup for autonomous driving.

Your profile

To apply you should have a master of engineering degree (or equivalent) in applied mathematics, computer science, machine learning, robotics, engineering physics, electrical engineering or in a related technical science or engineering subject

The candidate is expected to have a solid mathematical knowledge and demonstrable programming skills. We look for a candidate who is self-motivated, engaged, that can communicate in a pedagogic way to the team and the rest of the organisation.

Extra meritorious are:


• Knowledge and experience within software languages such as C++ and/or MATLAB/Simulink and/or Python along with a keen interest in programming.
• If you are fluent in English both in writing and in speech.

This research will be conducted in collaboration with Vinnova, FFI and the Robotics, Perception and Learning department at KTH – The Royal Institute of Technology, in Stockholm. Start date: 01st Jan 2021. Number of PhDs: 2

Further Information

Does this sound like an exciting challenge? We are looking forward to receiving your application! Do not hesitate to contact Naveenraj Vijayan (Manager) +46 (0) 855 353 208 to know more.

Application

Your application should include a CV, cover letter and copies of any certificates. Apply via our website www.scania.com/jobs by 2020-11-22 at the latest. Job Id 20202596. Applications will be reviewed and interviews held continuously during the recruitment process. Visa mindre
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Industrial PhD Position in “Perception” for Autonomous Vehicles

Ansök    Dec 21    Scania CV AB    Doktorand
At Autonomous Transport Solutions (ATS) Pre-Development & Research, Scania R&D, we pursue top-quality research and development of future cutting edge ATS concepts. We operate in agile, diverse and self-steered teams that work in close cooperation with the Volkswagen group, leading technology suppliers, and academic institutions. Our culture is built upon delivering added customer value through research and practical experiments that iteratively lead to con... Visa mer
At Autonomous Transport Solutions (ATS) Pre-Development & Research, Scania R&D, we pursue top-quality research and development of future cutting edge ATS concepts. We operate in agile, diverse and self-steered teams that work in close cooperation with the Volkswagen group, leading technology suppliers, and academic institutions. Our culture is built upon delivering added customer value through research and practical experiments that iteratively lead to concepts for industrialization.

Background

Vehicle autonomy has been heavily promoted as a means of improving transportation safety on the roadway. This goal, however, requires the vehicle to possess a high level of scene perception and situational awareness — that is, the ability to correctly perceive and understand the surrounding environment, the other road users and how the scene evolves over time.

One of the reasons why human drivers can safely navigate in complex environments is that they augment their sensing capabilities and anticipate the need to react to potential hazards. As an example, a driver slows down because she foresees the risk of collisions that arise due to the presence of vulnerable road users, occlusions in the traffic scene, or unfavourable weather conditions. Despite rapid research and innovation in scene perception for autonomous driving, dealing with complex traffic scenes and scalability for the production of fully autonomous vehicles are still challenging – specifically, when dealing with occluded traffic participants.

PhD Thesis Description

This PhD position lies within a bigger research project with the overall target to detect, classify, and track all road participants, specifically the occluded ones (i.e. road participants partly observable by onboard sensors), that share the road network with the autonomous vehicle. Within this PhD position, you will be focusing on the development of novel theoretical concepts and evaluate these in practice on an experimental testbed. The thesis goal to develop algorithms for enabling the prediction of future states of scene objects particularly the occluded ones. These reasoning algorithms will be based upon the prior information for object positions and classes derived from scene context information both perceived (e.g. from objects detected in multi-sensor data) and from scene metadata (e.g. HD maps). The algorithms will have to perform in real-time conditions while being validated through simulation and real data. To achieve these objectives, the industrial PhD student will pursue research in the theoretical areas of sensor fusion, behavioural learning, prediction and probabilistic modelling.

This research project will be conducted a research team responsible for concept evaluation of environment perception algorithms for autonomous driving. The results of this research project will be implemented in Scania’s development environment for autonomous driving and will be experimentally evaluated in operating prototype vehicles (trucks and buses) equipped with sensors and a platform setup for autonomous driving.

Your profile

To apply you should have a master of science/engineering degree (or equivalent) in applied mathematics, computer science, robotics, engineering physics, electrical engineering or in a related technical science or engineering subject.

The candidate is expected to have a solid mathematical background and programming skills. We look for a candidate who is self-motivated, engaged, and can communicate clearly to the team and the rest of the organisation.

Extra meritorious are:


• Knowledge and experience within software languages such as C++ and/or MATLAB/Simulink and/or Python.
• If you are fluent in English both in writing and in speech.

This research will be conducted in collaboration with Vinnova, FFI and the Robotics, Perception and Learning department at KTH Royal Institute of Technology, in Stockholm. Start date: not later than Feb 2021.

Number of PhDs: 1

Further Information

Does this sound like an exciting challenge? We are looking forward to receiving your application! Please do not hesitate to contact:

Nazre Batool (Senior Engineer) +46 (0) 855 372 381 (or)

Naveenraj Vijayan (Manager) +46 (0) 855 353 208 to know more.

Application

Your application should include a CV, cover letter and copies of any certificates & transcripts. Apply via our website www.scania.com/jobs by 2021-01-03 at the latest. Job Id 20202596. Applications will be reviewed and interviews held continuously during the recruitment process. Visa mindre
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Industrial doctorate position

Ansök    Jan 7    Scania CV AB    Doktorand
Renewable fuels are a key factor in the pursuit to provide sustainable transport solutions and are a prioritized area for Scania. Especially for long haulage transports, renewable fuels offer a fast-track to lower their carbon foot print. At the same time, society poses ever more stringent requirements for lower emissions, not least regarding particulate matter. In order to meet future requirements, a system-thinking and a close cooperation among different... Visa mer
Renewable fuels are a key factor in the pursuit to provide sustainable transport solutions and are a prioritized area for Scania. Especially for long haulage transports, renewable fuels offer a fast-track to lower their carbon foot print. At the same time, society poses ever more stringent requirements for lower emissions, not least regarding particulate matter. In order to meet future requirements, a system-thinking and a close cooperation among different academic disciplines, biofuel producers, vehicle manufacturers and suppliers of exhaust aftertreatment system will be needed.

The FFI project Future Particulate Filters for Next Generation Biofuels is such a cooperation with the focus on how the use of an advanced lignin-based biofuel, as well as other biofuels (e.g. HVO, FAME and biogas), affect the particulate emissions and the performance of the exhaust aftertreatment system. Especially, the project will address how particles from biofuels are filtered, accumulated and regenerated in the particulate filter. The aim is to enable optimization of fuel, engine and particulate filter in order to maximize the powertrain efficiency and minimize emissions of harmful particles.

Your role
Your role as an industrial Ph. D. student is to plan and perform scientific studies on the ash and soot deposition in particulate filters. The research project includes both practical and theoretical parts. A significant part of the project is to set up and commission a test rig for accelerated ash accumulation financed by Scania but placed at Process Technology, KTH. The rig will be used to study the soot and ash deposition in the filters and you will be responsible for designing and conducting the experiments in collaboration with researchers from KTH, Scania and the other partners of the project. Moreover, engine tests and other studies will be performed both at Internal Combustion Engines (ICE) at KTH and at Scania. An important part of the project is also to maintain contact and spread the results between the different partners in the project, i.e. Scania, KTH, RenFuel and Johnson Matthey.

As support you will have close contact with researcher both at academia and at Scania and the other industrial partners.

Your profile
The most important demand we have on you is that you see research and science as something fun and that you have a burning interest for learning new stuff. It is also good if you like doing practical work in the lab, although hopefully that does not mean that you shy away from theoretical discussions and the use of computers. Moreover, it is seen beneficial if you have good communication skills and can write and speak English well. Formally, you have a relevant master’s degree in chemical engineering, mechanical engineering, engineering physics or similar.

About the industrial Ph.D. position
The industrial Ph.D. position is a full-time position formally placed at NXPK (Catalyst and Filter Performance) but you will in practice work at YTMC (Materials Technology for Powertrain Fluids and Aftertreatment) during the 4 year period that the project runs for. A condition for the position is that the applicant is approved as a Ph. D. student by KTH, i.e. fulfil the basic demands for doctoral studies at KTH.

For further information contact:

Anders Ersson, Senior Engineer YTMC, +46 8 553 51420

Francesco Regali, Senior Engineer YTMC, +46 8 553 70842 Visa mindre
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Industrial PhD student within Model-Based Systems Engineering

Ansök    Aug 30    Scania    Doktorand
Scania is now undergoing a transformation from being a supplier of trucks, buses and engines to a supplier of complete and sustainable transport solutions. Road transports face increasing societal challenges with respect to emissions, safety, traffic congestion, as well as business challenges related to tightened delivery times and cost constraints. Truck automation, e.g. self-driving trucks, may be utilized to address some of these issues. A drawback is... Visa mer
Scania is now undergoing a transformation from being a supplier of trucks, buses and engines to a supplier of complete and sustainable transport solutions.

Road transports face increasing societal challenges with respect to emissions, safety, traffic congestion, as well as business challenges related to tightened delivery times and cost constraints. Truck automation, e.g. self-driving trucks, may be utilized to address some of these issues.

A drawback is that self-driving trucks significantly increase technical complexity and thus introduce new challenges in the product development phase. Model-Based Systems Engineering (MBSE) is today identified to be a key component to cope with the increasing complexity, particularly in products containing an increased amount of electronics and software. Hence, an MBSE approach is a process related way to master complexity, potentially resulting in reduced development time and cost, etc.

We are now looking for a PhD candidate within Model-Based Systems Engineering. The research will be performed at KTH Royal Institute of Technology in Stockholm and at Scania in Södertälje.

Objectives

The overall aim of the research project is to identify and investigate key process related challenges and to develop a Model-Based Systems Engineering (MBSE) approach in order to improve these areas, mainly for the specific needs at Scania.

What we can offer you

Scania is currently undergoing an exciting transformation from a traditional truck, bus and engine manufacturer to a provider of complete sustainable transport solutions. As an industrial PhD student, you are an employee at Scania, where you will be part of a team with industry experts and other researchers. Your time and location will be split between Scania, Södertälje and KTH, Stockholm. After obtaining your PhD degree, you will be offered a job within R&D at Scania.

Your Profile

You have a Master of Science degree in Engineering, with theoretical knowledge of Mechatronics, System and Component Design, Product Development and preferably Systems Engineering. You are structured, creative, highly motivated to perform research and have a “systems thinking mindset”. Moreover, you are expected to have excellent writing and communication skills in English.

Time schedule

The target is to start Q3 2019 and reach a PhD degree within 5 years.

For more information

Please contact Anna Hellström (Group Manager), +46855350599 



Scania is a world-leading provider of transport solutions. Together with our partners and customers we are driving the shift towards a sustainable transport system. In 2018, we delivered 88 000 trucks, 8 500 buses as well as 12 800 industrial and marine engines to our customers. Net sales totalled to over SEK 137 billion, of which about 20 percent were services-related. Founded in 1891, Scania now operates in more than 100 countries and employs some 52 000 people. Research and development are concentrated in Sweden, with branches in Brazil and India. Production takes place in Europe, Latin America and Asia, with regional production centres in Africa, Asia and Eurasia. Scania is part of TRATON.SE. For more information visit www.scania.com. Visa mindre
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Industrial PhD student within Model-Based Systems Engineering

Ansök    Sep 12    Scania    Doktorand
Scania is now undergoing a transformation from being a supplier of trucks, buses and engines to a supplier of complete and sustainable transport solutions. Road transports face increasing societal challenges with respect to emissions, safety, traffic congestion, as well as business challenges related to tightened delivery times and cost constraints. Truck automation, e.g. self-driving trucks, may be utilized to address some of these issues. A drawback is... Visa mer
Scania is now undergoing a transformation from being a supplier of trucks, buses and engines to a supplier of complete and sustainable transport solutions.

Road transports face increasing societal challenges with respect to emissions, safety, traffic congestion, as well as business challenges related to tightened delivery times and cost constraints. Truck automation, e.g. self-driving trucks, may be utilized to address some of these issues.

A drawback is that self-driving trucks significantly increase technical complexity and thus introduce new challenges in the product development phase. Model-Based Systems Engineering (MBSE) is today identified to be a key component to cope with the increasing complexity, particularly in products containing an increased amount of electronics and software. Hence, MBSE is a process related way to master complexity, mainly by developing multiple connected system models that help define, design, and document a product under development.

We are now looking for a PhD candidate within Model-Based Systems Engineering. The research will be performed at KTH Royal Institute of Technology in Stockholm and at Scania in Södertälje.

Objectives

The overall aim of the research project is to develop a Model-Based Systems Engineering (MBSE) approach in order to support the product development of new electric and self-driving trucks, mainly for the specific needs at Scania.

What we can offer you

Scania is currently undergoing an exciting transformation from a traditional truck, bus and engine manufacturer to a provider of complete sustainable transport solutions. As an industrial PhD student, you are an employee at Scania, where you will be part of a team with industry experts and other researchers. Your time and location will be split between Scania, Södertälje and KTH, Stockholm.

Your Profile

You have a Master of Science degree in Engineering, with theoretical knowledge of Mechatronics, System and Component Design, Product Development and Systems Engineering. You are structured, creative, highly motivated to perform research and have a “systems thinking mindset”. Moreover, you are expected to have excellent writing and communication skills in English.

Time schedule

The target is to start Q1 2020 and reach a PhD degree within 4-5 years.

For more information

Please contact Anna Hellström (Group Manager), +46855350599 
 




Scania is a world-leading provider of transport solutions. Together with our partners and customers we are driving the shift towards a sustainable transport system. In 2018, we delivered 88 000 trucks, 8 500 buses as well as 12 800 industrial and marine engines to our customers. Net sales totalled to over SEK 137 billion, of which about 20 percent were services-related. Founded in 1891, Scania now operates in more than 100 countries and employs some 52 000 people. Research and development are concentrated in Sweden, with branches in Brazil and India. Production takes place in Europe, Latin America and Asia, with regional production centres in Africa, Asia and Eurasia. Scania is part of TRATON.SE. For more information visit www.scania.com. Visa mindre
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Doktorand inom integrerad data analys för avancerade maskinsystem

Ansök    Jun 13    Kungliga Tekniska högskolan    Doktorand
KTH är ett av Europas ledande tekniska universitet och en viktig arena för kunskapsutveckling. Som Sveriges största universitet för teknisk forskning och utbildning samlar vi studenter, forskare och fakultet från hela världen. Vår forskning och utbildning omfattar såväl naturvetenskap som alla grenar inom teknik samt arkitektur, industriell ekonomi, samhällsplanering, historia och filosofi. Projektbeskrivning Forskarutbildningsämne: industriell prod... Visa mer
KTH är ett av Europas ledande tekniska universitet och en viktig arena för kunskapsutveckling. Som Sveriges största universitet för teknisk forskning och utbildning samlar vi studenter, forskare och fakultet från hela världen. Vår forskning och utbildning omfattar såväl naturvetenskap som alla grenar inom teknik samt arkitektur, industriell ekonomi, samhällsplanering, historia och filosofi.




Projektbeskrivning

Forskarutbildningsämne: industriell produktion

Den pågående transformeringen av industrin mot smarta fabriker där produkter och produktionsresurser som maskiner, robotar och verktyg kommer att ha inbyggd förmåga att kommunicera, utföra självdiagnos och bli självlärande leder bland annat till självjusterande och anpassningsbara system.

Med andra ord, industrisystemen kommer att bli mer intelligenta och autonoma. En förutsättning för denna utveckling är att kunskapen om systemens operativa egenskaper och tillstånd bli känd och lättillgänglig. Forskargruppen inom driftsäkerhet erbjuder en doktorandtjänst med inriktning mot analys och diagnostik av avancerade maskiners egenskaper.

Doktoranden kommer att arbeta i en dynamisk forskargrupp som baserat på driftsäkerhet- och precisions principer forskar fram nya metoder och algoritmer för analys av avancerade produktionssystems så som industrirobotar och verktygsmaskiners tillstånd. Doktoranden kommer att tillsammans med övriga forskare bidra till framtagning av nya metoder för identifiering och prognostisering av fel och avvikelser i maskiner med speciellt fokus på utveckling av algoritmer för rotorsaks analys.

Arbetsuppgifterna inkluderar:

- Framtagning av en generisk fysikbaserad modell (digital tvilling) som representerar en maskins och dess subsystems egenskaper. Modellen används för rotorsaksanalys.
- Utveckling av metod för sammanläkning av data från multipla givare och mätsystem.
- Utformning av mätmetod för online identifiering av maskinens egenskaper och tillstånd.
-  Planering och utförande av experiment (verifiering och validering).

Vi erbjuder

- Möjligheten att doktorera i en dynamisk, internationell forskarmiljö i nära samarbete med industrin och framstående universitet världen över.
- En personlig studieplan för att stötta din utveckling inom dina intresseområden.
- Livslångt nätverk i form av https://www.kth.se/alumni.
- En arbetsplats med https://intra.kth.se/anstallning/anstallningsvillkor/personalformaner-kth-for-mig-1.365793 och månadslön enligt https://intra.kth.se/anstallning/anstallningsvillkor/lon/doktorandstegen-1.572915.
- Arbete och studier i Stockholm, en av Europas snabbast växande huvudstäder som samtidigt har närhet till naturen och havet.
- Delaktighet i att utveckla ett nytt livaktigt forsknings- och utbildningscampus vid KTH Södertälje, med en profilering kring hållbar produktionsutveckling.

Behörighet för antagning

För att bli antagen till forskarutbildning (kap 7 39 § högskoleförordningen) krävs att den sökande har grundläggande behörighet:

- avlagt en examen på avancerad nivå,
- fullgjort kursfordringar om minst 240 högskolepoäng, varav minst 60 högskolepoäng på avancerad nivå, eller
- på något annat sätt inom eller utom landet förvärvat i huvudsak motsvarande kunskaper.

Examen ska vara avlagd senast 6 månader efter annonsens slutdatum

Urval

För att lyckas med dina doktorandstudier på KTH behöver du vara målinriktad och ihärdig i ditt arbete. Vid urval av de sökande bedöms förmågan att:

- självständigt driva sitt arbete framåt,
- kunna samarbeta med andra,
- ha ett professionellt förhållningssätt och
- analysera och arbeta med komplexa frågor,
- kunna obehindrat kommunicera på engelska (tal och skrift),


- påvisa erfarenhet från arbete i relevant industrisektorer ses positivt.



Efter behörighetskraven kommer stor vikt läggas vid personliga egenskaper och personlig lämplighet.

Målexamen: Doktorsexamen

Information om antagning och anställning 

Bara den som antagits till forskarutbildning får anställas som doktorand. Anställningen får gälla för högst ett år och därefter förnyas. En anställd doktorand får i begränsad omfattning (högst 20 %) utföra vissa arbetsuppgifter inom t.ex. utbildning och administration.

Fackliga representanter

Du hittar kontaktuppgifter till fackliga representanter på https://www.kth.se/om/work-at-kth/fackrepresentanter-1.500898.

Doktorandsektionen (Tekniska högskolans studentkår)

Du hittar kontaktuppgifter till doktorandsektionen på https://www.dr.kth.se/.

Ansökan 

Du ansöker via KTH:s rekryteringssystem. Du som sökande har huvudansvaret för att din ansökan är komplett när den skickas in.

Ansökan ska vara KTH tillhanda senast sista ansökningsdagen vid midnatt, CET/CEST (Central European Time/Central European Summer Time). 

Ansökan ska ha följande innehåll

- CV med relevanta professionella erfarenheter och kunskaper.
- Ansökningsbrev med en kortfattad redogörelse om varför du vill bedriva forskarstudier, om dina akademiska intressen och hur de relaterar till dina tidigare studier och framtida mål. (Max 2 sidor)
- Betygsavskrift, kopior av examensbevis och betyg från tidigare universitetsstudier. Översättningar till engelska eller svenska om originaldokumentet inte är utfärdade på ett av dessa språk.
- Representativa publikationer eller tekniska rapporter. För längre dokument, bifoga gärna en sammanfattning (abstract) och en webblänk till den fullständiga texten.

Övrigt

Jämställdhet, mångfald och avståndstagande från alla former av diskriminering är både en kvalitetsfråga och en självklar del av KTH:s värdegrund.

För information om behandling av personuppgifter i samband med rekrytering https://www.kth.se/om/work-at-kth/processing-of-personal-data-in-the-recruitment-process-1.823440

Vi undanber oss direktkontakt med bemannings- och rekryteringsföretag samt försäljare av platsannonser. Visa mindre
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Industrial PhD - Autonomous Vehicles

Ansök    Mar 26    Scania    Doktorand
At Autonomous Transport Solutions (ATS) Pre-Development & Research, Scania R&D, we pursue top-quality research and development of future cutting edge ATS concepts. We operate in agile and self-steered teams that work in close cooperation with the Volkswagen group, leading technology suppliers, and academic institutions, with the ambition to detect and evaluate upcoming technologies. Our culture is built based upon delivering added customer value through re... Visa mer
At Autonomous Transport Solutions (ATS) Pre-Development & Research, Scania R&D, we pursue top-quality research and development of future cutting edge ATS concepts. We operate in agile and self-steered teams that work in close cooperation with the Volkswagen group, leading technology suppliers, and academic institutions, with the ambition to detect and evaluate upcoming technologies. Our culture is built based upon delivering added customer value through research and practical experiments that iteratively lead to concepts for industrialization.

Background

Vehicle autonomy has been heavily promoted as a means of improving transportation safety on the roadway. This goal, however, requires the vehicle to possess a high level of situational awareness---that is, the ability to correctly perceive and understand the surrounding environment, the other road users and how the scene evolves over time.

One of the reasons why human drivers can safely navigate in complex environments is that they augment their sensing capabilities and anticipate the need to react to potential hazards. As an example, a driver slows down because she foresees the risk of collisions that arises due to the presence of vulnerable road users, occlusions in the traffic scene, or unfavourable weather conditions.

At the current time, there is no established theoretical and technological framework that enables the same capability for self-driving vehicles.

Project Description

You will be developing novel theoretical concepts and evaluate these in practice on an experimental testbed. The goal of this project is to investigate and develop a situational awareness framework for decision making based on analysing, understanding, learning, and predicting the surrounding environment and its evolution. The complexity of this systems is given by: 1) scale (a lot of agents); 2) diversity (different kinds of agents; 3) relationships (inter-related agent are interacting with each other and their relationship changes over time); 4) infrastructural support (traffic rules and management systems). The framework will enable the possibility of selecting the most effective and reliable decisions while navigating in uncertain or occluded environments, minimizing the collision risk and maximizing efficiency and safety.

To achieve these objectives, the industrial PhD student will pursue a multi-disciplinary research in the areas of behavioural learning and prediction, machine learning, artificial intelligence, probabilistic modelling, formal- and variational methods.

This research project will be conducted in an agile multi-cultural research team within R&D. The team is responsible for concept evaluation and software development of tactical decision-making and situational awareness algorithms for autonomous driving.

The results of this research project will be implemented in Scania’s development environment for autonomous driving and they will be experimentally evaluated in operating prototype vehicles (trucks and buses) equipped with sensors and a platform setup for autonomous driving.

This research project will be conducted in an agile multi-cultural research team within R&D. The team is responsible for concept evaluation and software development of tactical decision-making and situational awareness algorithms for autonomous driving.

The final applicant in combination with this research project will be submitted to the Wallenberg AI, Autonomous Systems and Software Program (WASP) at the latest 26th April for external founding. As a PhD student within the WASP graduate school additional courses, research visits to partnering universities, and visiting lectures will be offered to support forming a strong multi-disciplinary and international professional network between PhD-students, researchers and industry.

Your profile

To apply you should have a master of engineering degree (or equivalent) in applied mathematics, computer science, machine learning, robotics, engineering physics, or in a related technical science or engineering subject.

The candidate is expected to have a solid mathematical knowledge and demonstrable programming skills. We look for a candidate who is self-motivated, engaged, that can communicate in a pedagogic way to the team and the rest of the organisation.

Extra meritorious is:


• Knowledge and experience within software languages such as C++ and/or MATLAB/Simulink and/or Python along with a keen interest in programming.
• If you are fluent in English both in writing and in speech.

This research will be conducted in collaboration with the Robotics, Perception and Learning department at KTH – The Royal Institute of Technology, in Stockholm, under the supervision of Professor Patric Jensfelt and Associate Professor Jana Tumova.

For additional information

Please contact Assad Alam, Manager, 08-553 896 41 or for detailed questions contact Jana Tumova, Associate Professor – KTH, 070-6876096

 

Your application

Apply via our homepage: www.scania.com/jobs at Scania latest by April 10. Job id 20191255. Interviews will be conducted continuously during the application period.

Your application should include a cover letter, CV and copies of your education certificate. Visa mindre
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Doktorand inom produktionslogistik

Ansök    Jun 13    Kungliga Tekniska högskolan    Doktorand
KTH är ett av Europas ledande tekniska universitet och en viktig arena för kunskapsutveckling. Som Sveriges största universitet för teknisk forskning och utbildning samlar vi studenter, forskare och fakultet från hela världen. Vår forskning och utbildning omfattar såväl naturvetenskap som alla grenar inom teknik samt arkitektur, industriell ekonomi, samhällsplanering, historia och filosofi. Projektbeskrivning Forskarutbildningsämne: Industriell prod... Visa mer
KTH är ett av Europas ledande tekniska universitet och en viktig arena för kunskapsutveckling. Som Sveriges största universitet för teknisk forskning och utbildning samlar vi studenter, forskare och fakultet från hela världen. Vår forskning och utbildning omfattar såväl naturvetenskap som alla grenar inom teknik samt arkitektur, industriell ekonomi, samhällsplanering, historia och filosofi.




Projektbeskrivning

Forskarutbildningsämne: Industriell produktion

Den pågående transformering mot smarta och uppkopplade fabriker skapar helt nya möjligheter till transparens och visibilitet i intern och extern logistik.

Genom att känna till var material och resurser befinner sig och vilken status de har, kan vi förbättra hållbarhet, effektivitet och flexibilitet. Dagens realtidstekniker och datakraft ger nya möjligheter till detta. Även efterfrågan på exempelvis miljökonsekvensanalys ökar, vilket ställer nya krav på verktygen. I projektet LOVIS (Production Logistics Visibility), där denna tjänst ingår, har vi två perspektiv i samma projekt: intern och extern visibilitet. LOVIS involverar KTH, Lunds Universitet, Scania, AstraZeneca och Odette. Scania och AstraZeneca bidrar med olika perspektiv och erfarenheter kring interna och externa materialflöden. Odette medverkar med sin expertis inom standarder och best-practice. KTH och Lunds Universitet ska skapa en samlad kunskapsbild om intern och extern visibilitet.

Doktoranden kommer att arbeta i en dynamisk forskargrupp vid KTH som i tät samverkan med industri forskar fram nya metoder för analys av avancerade industriella logistiksystem. Doktoranden kommer att tillsammans med övriga forskare bidra till framtagning av nya metoder och applikationer för att beskriva och förutsäga prestanda och beteende i produktionslogistiksystem. Tjänsten inkluderar 20% institutionstjänst vilket kan omfatta undervisning och handledning inom våra utbildningsprogram. Arbetet börjar med en kartläggning av tekniska, processmässiga och organisatoriska förutsättningar och hinder för intern och extern visibilitet inom produktionslogistik. Därefter ska vi ta fram utvecklingsspår mot ökad intern och extern visibilitet, i tät samverkan med industriella parter och standardiseringsorgan.

Vi erbjuder

- Möjligheten att doktorera i en dynamisk, internationell forskarmiljö i nära samarbete med industrin och framstående universitet världen över.
- En personlig studieplan för att stötta din utveckling inom dina intresseområden.
- Livslångt nätverk i form av https://www.kth.se/alumni.
- En arbetsplats med https://intra.kth.se/anstallning/anstallningsvillkor/personalformaner-kth-for-mig-1.365793 och månadslön enligt https://intra.kth.se/anstallning/anstallningsvillkor/lon/doktorandstegen-1.572915.
- Arbete och studier i Stockholm, en av Europas snabbast växande huvudstäder som samtidigt har närhet till naturen och havet.
- Delaktighet i att utveckla ett nytt livaktigt forsknings- och utbildningscampus vid KTH Södertälje, med en profilering kring hållbar produktionsutveckling.

Behörighet för antagning

För att bli antagen till forskarutbildning (kap 7 39 § högskoleförordningen) krävs att den sökande har grundläggande behörighet:

- avlagt en examen på avancerad nivå,
- fullgjort kursfordringar om minst 240 högskolepoäng, varav minst 60 högskolepoäng på avancerad nivå, eller
- på något annat sätt inom eller utom landet förvärvat i huvudsak motsvarande kunskaper.

Du bör ha en examen på avancerad nivå för Industriell produktion inom lämpligt område såsom logistik, supply chain management, industriell produktion eller industriell IT.

Urval

För att lyckas med dina doktorandstudier på KTH behöver du vara målinriktad och ihärdig i ditt arbete. Vid urval av de sökande bedöms förmågan att:

- självständigt driva sitt arbete framåt,
- kunna samarbeta med andra,
- ha ett professionellt förhållningssätt och
- analysera och arbeta med komplexa frågor.
- Utmärkta färdigheter i tal och skrift på svenska och engelska är viktigt.
- Kunskap och erfarenhet av producerande industri, affärssystem, business intelligence system, supply chain management, digitalisering och visualisering av prestandamått är meriterande.

Efter behörighetskraven kommer stor vikt läggas vid personliga egenskaper och personlig lämplighet.

Målexamen: Doktorsexamen

Information om antagning och anställning 

Bara den som antagits till forskarutbildning får anställas som doktorand. Anställningen får gälla för högst ett år och därefter förnyas. En anställd doktorand får i begränsad omfattning (högst 20 %) utföra vissa arbetsuppgifter inom t.ex. utbildning och administration.

Fackliga representanter

Du hittar kontaktuppgifter till fackliga representanter på https://www.kth.se/om/work-at-kth/fackrepresentanter-1.500898.

Doktorandsektionen (Tekniska högskolans studentkår)

Du hittar kontaktuppgifter till doktorandsektionen på https://www.dr.kth.se/.

Ansökan 

Du ansöker via KTH:s rekryteringssystem. Du som sökande har huvudansvaret för att din ansökan är komplett när den skickas in.

Ansökan ska vara KTH tillhanda senast sista ansökningsdagen vid midnatt, CET/CEST (Central European Time/Central European Summer Time). 

Ansökan ska ha följande innehåll

- CV med relevanta professionella erfarenheter och kunskaper.
- Ansökningsbrev med en kortfattad redogörelse om varför du vill bedriva forskarstudier, om dina akademiska intressen och hur de relaterar till dina tidigare studier och framtida mål. (Max 2 sidor)
- Betygsavskrift, kopior av examensbevis och betyg från tidigare universitetsstudier. Översättningar till engelska eller svenska om originaldokumentet inte är utfärdade på ett av dessa språk.
- Representativa publikationer eller tekniska rapporter. För längre dokument, bifoga gärna en sammanfattning (abstract) och en webblänk till den fullständiga texten.

Övrigt

Jämställdhet, mångfald och avståndstagande från alla former av diskriminering är både en kvalitetsfråga och en självklar del av KTH:s värdegrund.

För information om behandling av personuppgifter i samband med rekrytering https://www.kth.se/om/work-at-kth/processing-of-personal-data-in-the-recruitment-process-1.823440

Vi undanber oss direktkontakt med bemannings- och rekryteringsföretag samt försäljare av platsannonser. Visa mindre
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Industrial PhD - Shared Situational Awareness

Ansök    Mar 26    Scania    Doktorand
At Autonomous Transport Solutions (ATS) Pre-Development & Research, Scania R&D, we pursue top-quality research and development of future cutting edge ATS concepts. We operate in agile and self-steered teams that work in close cooperation with the Volkswagen group, leading technology suppliers, and academic institutions, with the ambition to detect and evaluate upcoming technologies. Our culture is built based upon delivering added customer value through re... Visa mer
At Autonomous Transport Solutions (ATS) Pre-Development & Research, Scania R&D, we pursue top-quality research and development of future cutting edge ATS concepts. We operate in agile and self-steered teams that work in close cooperation with the Volkswagen group, leading technology suppliers, and academic institutions, with the ambition to detect and evaluate upcoming technologies. Our culture is built based upon delivering added customer value through research and practical experiments that iteratively lead to concepts for industrialization.

Background

Vehicle autonomy has been heavily promoted as a means of improving transportation safety on the roadway. This goal, however, requires the vehicle to possess a high level of situational awareness---that is, the ability to correctly perceive and understand the surrounding environment and the other road users and how the scene evolves over time.

One of the reasons why human drivers can navigate in complex environments is that they augment their sensing capabilities and anticipate the need to react to potential hazards. However, this skill is not sufficient for many scenarios where impeding dangers are obstructed from view. For example, a car slamming on its brakes two vehicles ahead. With access to information from nearby vehicles, the driver could retrieve pertinent information of the occluded surroundings. In the previous example, the driver can be provided with the visual information of the preceding vehicle, and she would brake in advance avoiding the collision.

Project Description

You will be developing novel theoretical concepts and evaluate these in practice on an experimental testbed. The goal of this project is to investigate and develop a shared situational awareness framework for autonomous connected vehicles enabled by V2X communication. The framework will provide the ability to share information between connected vehicles and/or infrastructure. The vehicle will select the most effective and reliable decisions while navigating in uncertain or occluded environments.

Some of the main research questions are : 1) how much information should each vehicle broadcast; 2) what is the relevant information that each vehicle should broadcast (e.g., velocity, location, intended route, state of the surrounding agents, etc.); 3) how to modulate the amount of information that is sent over the network; 4) How this information can be mediated by smart traffic infrastructure (e.g., connected intersections).

To achieve these objectives, the industrial PhD student will pursue a multi-disciplinary research in the areas of multi-agent systems, machine learning, artificial intelligence, networked systems, probabilistic modelling and variational methods.

The results of this research project will be implemented in Scania’s development environment for autonomous driving and they will be experimentally evaluated in operating prototype vehicles (trucks and buses) equipped with sensors and a platform setup for autonomous driving.

The final applicant in combination with this research project will be submitted to the Wallenberg AI, Autonomous Systems and Software Program (WASP) at the latest 26th April for external founding. As a PhD student within the WASP graduate school additional courses, research visits to partnering universities, and visiting lectures will be offered to support forming a strong multi-disciplinary and international professional network between PhD-students, researchers and industry.

Your profile

To apply you should have a master of engineering degree (or equivalent) in applied mathematics, computer science, machine learning, robotics, engineering physics, or in a related technical science or engineering subject.

The candidate is expected to have a solid mathematical knowledge and demonstrable programming skills. We look for a candidate who is self-motivated, engaged, that can communicate in a pedagogic way to the team and the rest of the organisation.

Extra meritorious is:


• Knowledge and experience within software languages such as C++ and/or MATLAB/Simulink and/or Python along with a keen interest in programming.
• If you are fluent in English both in writing and in speech.

This research will be conducted in collaboration with the Decision and Control department at KTH – The Royal Institute of Technology, in Stockholm, under the supervision of Professor Karl H. Johansson and Associate Professor Jonas Mårtensson.

For additional information

Please contact Assad Alam, Manager, 08-553 896 41 or for detailed questions contact Jonas Mårtensson, Associate Professor – KTH, 070-1909798

 

Your application

Apply via our homepage: www.scania.com/jobs at Scania latest by April 10. Job id 20191256. Interviews will be conducted continuously during the application period.

Your application should include a cover letter, CV and copies of your education certificate. Visa mindre
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