Hydrogen is expected to play a key role in the energy and fuel mix of future sustainable transport systems. However, due to its small and light molecular structure, hydrogen exhibits significantly different mixing and reactive properties compared to conventional fuels. In this project, turbulent mixing and combustion of hydrogen in air will be studied through optical experiments and numerical modelling to improve our understanding of fundamental processes relevant to combustion engines, gas turbines, and fire safety. The successful candidate will join a dynamic and diverse research group with an extensive network of national and international collaborators. Project overview The aim of this two-year project is to validate and further develop advanced numerical models (originally developed at Chalmers) for turbulent hydrogen mixing and combustion. Optical and laser-based diagnostics will be used on well-defined reference cases to deepen the understanding of hydrogen’s mixing and reactivity. Numerical work will involve established software tools, such as: • CHEMKIN-PRO for steady one-dimensional simulations of laminar flames with detailed chemistry. • CONVERGE for unsteady three-dimensional simulations of turbulent reacting flows. A novel aspect of the project is the use of highly perturbed laminar flame simulations to inform CFD modelling of turbulent combustion in lean hydrogen-air mixtures. Experimental work will be conducted in a chamber with optical access, where hydrogen-air mixtures of varying homogeneity and flow conditions will be studied at elevated pressures and temperatures. Ignition and flame properties will be analysed using advanced optical techniques such as: • High-speed imaging • Laser-induced fluorescence • Particle image velocimetry Experimental and numerical results will be evaluated and compared to refine both the models and measurement methods. The position is based at the Division of Transport, Energy and Environment within the Department of Mechanics and Maritime Sciences. The division conducts interdisciplinary research on energy efficiency and the environmental impact of transportation. Research topics include vehicle energy converters, fuel properties and sustainability, and shipping impacts on the marine environment. A key focus is on propulsion systems for road vehicles and ships, including combustion engines, fuel cells, and electrified drivetrains. The work combines modelling and experiments and is carried out in close collaboration with industry and academic partners. Main responsibilities • Develop a research plan and design test configurations in collaboration with senior researchers. • Perform numerical simulations of: • Steady one-dimensional laminar flames with detailed chemistry. • Unsteady three-dimensional RANS simulations of turbulent combustion. • Conduct optical experiments on hydrogen-air mixtures using techniques such as schlieren imaging, laser-induced fluorescence, and particle image velocimetry. • Analyse and compare experimental and numerical results. • Lead the dissemination of results through publications in high-impact journals and presentations at international conferences. Qualifications • A PhD in Physics, Chemistry, Mechanical Engineering, Energy Sciences, or a related field, obtained no more than three years before the application deadline. • Proven expertise in either: • Numerical simulation of turbulent flows and/or chemical kinetics, with an interest in experimental combustion research. • Optical and laser-based diagnostic techniques for turbulent flows and/or combustion, with an interest in modelling.  * The date shown in your doctoral degree certificate is the date we use, as this is the date you have met all requirements for the doctoral degree. Exceptions from the 3-year limit can be made for longer periods resulting from parental leave, sick leave or military service. Contract terms This postdoc position is a full-time temporary employment for two years. What we offer Chalmers provides a cultivating and inspiring working environment in the coastal city of Gothenburg.  Read more about working at Chalmers and our benefits for employees. Chalmers aims to actively improve our gender balance. We work broadly with equality projects, for example the GENIE Initiative on gender equality for excellence. Equality and diversity are substantial foundations in all activities at Chalmers. Application procedure The application should be written in English and be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files. CV: (Please name the document as: CV, Surname) including: • CV, include complete list of publications • Previous teaching and pedagogical experiences Personal letter: (Please name the document as: Personal letter, Family name) 1-3 pages where you: • Introduce yourself • Describe your previous research fields and main research results • Describe your future goals and future research focus Other documents: • Attested copies of completed education, grades and other certificates. Use the button at the foot of the page to reach the application form. Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered. Application deadline: 16 September, 2025 For questions, please contact: Mats Andersson [email protected] Andrei Lipatnikov [email protected] *** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. ***    Chalmers University of Technology in Gothenburg conducts research and education in technology and natural sciences at a high international level. The university has 3100 employees and 10,000 students, and offers education in engineering, science, shipping and architecture. With scientific excellence as a basis, Chalmers promotes knowledge and technical solutions for a sustainable world. Through global commitment and entrepreneurship, we foster an innovative spirit, in close collaboration with wider society. Chalmers was founded in 1829 and has the same motto today as it did then: Avancez – forward.

PhD Student Position in Safe, Interpretable, Learning-Based Motion Planning and Control This PhD position offers a unique opportunity to advance safe and transparent control for autonomous, over-actuated electric vehicles. You will work at the intersection of model predictive control and machine learning to tackle the complexity of force allocation and motion planning under uncertainty and actuator failures. The project combines theoretical research in stochastic optimal control with real-world applications, in collaboration with Volvo Cars and Volvo Group. This is an ideal position for candidates interested in interpretable AI, safety guarantees, and high-impact research in safe and sustainable mobility. Research environment The position is located at the Systems and Control division, with extensive collaboration with the Vehicle Safety Division and the Vehicle Engineering and Autonomous Systems division. We offer advanced PhD courses where we extend the fundamentals in optimal control, machine learning, probability theory and similar. The research and learning environment is international and English is the working language. If Swedish is not your native language and you are interested in learning it, Chalmers offers Swedish courses that are free for PhD students. Although the knowledge of Swedish is not mandatory for teaching and research, many PhD students decide to follow these courses. Responsibilities As a PhD student, your primary responsibility is to conduct high-quality research on interpretable and learning-based stochastic optimal control for over-actuated electric vehicles, with a focus on ensuring robustness and fail-safe operation. You will: - Develop modular, scalable, and transparent control algorithms suitable for real-time implementation across different vehicle platforms. - Contribute to theoretical developments in stochastic model predictive control and its integration with learning-based motion prediction under uncertainty. - Validate methods through simulation and collaboration with industrial partners (Volvo Cars and Volvo Group). - Publish results in leading journals and present at international conferences. Qualifications To be eligible for this position, you must have (or be close to completing) a Master’s degree corresponding to at least 240 higher education credits in Applied Mathematics, Applied Physics, Electrical Engineering, Mechanical Engineering, or a related field. A strong mathematical foundation and excellent academic performance are expected. Required qualifications: • Proficiency in programming (primarily Python or MATLAB) • Strong communication and collaboration skills, including the ability to work across research groups and disciplines • Excellent written and spoken English • Experience with optimal control theory and methods Contract terms The position is regarded as a full-time employment with a competitive monthly salary and full social benefits. It is limited to maximum 5 years and includes teaching at the undergraduate and MSc level, up to 20% of full time. There are no tuition fees for PhD studies at Chalmers. The expected starting date is September 2025. While a slightly later start may be possible, we prefer the position to commence before November 2025. What we offer • The PhD position is fully funded from start • As a PhD student at Chalmers, you are an employee and enjoy all employee benefits. Read more about working at Chalmers and our benefits for employees. • A dynamic and inspiring working environment in the coastal city of Gothenburg. • A starting salary of 34,550 SEK per month (valid from May 25, 2025). Chalmers is dedicated to improving gender balance and actively works with equality projects, such as the GENIE Initiative for gender equality and excellence. Discover more Find more general information about doctoral studies at Chalmers here.  How to apply The application should be written in English and be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files. CV: (Please name the document: CV, Family name) • CV • Other, for example previous employments or leadership qualifications and positions of trust. Personal letter: (Please name the document as: Personal letter, Family name) 1-3 pages where you: • Introduce yourself • Describe your previous experience of relevance for the position (e.g. education, thesis work and, if applicable, any other research activities) • Describe your future goals and future research focus Other documents: • Copies of bachelor and/or master’s thesis. • Attested copies and transcripts of completed education, grades and other certificates. Use the button at the foot of the page to reach the application form.  Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered. Application deadline:  9 July, 2025 For questions, please contact: Prof. Nikolce Murgovski, Systems and Control [email protected], +46-31-772-4800 Senior Researcher, Mats Jonasson, Vehicle Engineering and Autonomous Systems [email protected] +46-31-772-1373 Researcher Jordanka Kovaceva, Vehicle Safety [email protected] +46-31-772-1266   *** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. ***

We are seeking a highly motivated and skilled Postdoctoral researcher with interdisciplinary expertise to develop risk assessment and mitigation models using Large Language Models (LLMs). This position offers a unique opportunity to collaborate closely with researchers across the Division of Marine Technology at Chalmers University, with a focus on maritime transportation risk analysis. Project overview You will be actively involved in several ongoing maritime risk-related projects and contribute to the development of Chalmers’ ship bridge simulators. The project aims to deliver a risk-aware digital twin framework, adaptable to: • The level of detail available for ship modelling, • The quality of risk-related data, and • Quantified model and data uncertainties. The project will advance knowledge on LLM-based risk analysis and demonstrate its applications in various risk control measures. You will collaborate closely with other researchers at the division and contribute to building a shared knowledge base. Main responsibilities include: • Conduct benchmarking and further development of risk assessment models and components. • Investigate the reliability of accident data, including cross-validation and calibration of reports from various sources. • Collect and analyse large-scale cross-industry accident data using FRAM (Functional Resonance Analysis Method) within LLMs to identify human-, technical-, and fuel-related Risk Influence Factors (RIFs). • Translate potential risk scenarios into Unity-based extended reality (XR) modules and embed proactive Risk Control Options (RCOs). • Integrate developed models into Chalmers’ bridge simulators in collaboration with other researchers. You are also expected to supervise PhD and MSc students and to publish at least two peer-reviewed journal articles during the project period. Research environment The Department of Mechanics and Maritime Sciences (M2) conducts both fundamental and applied research across all modes of transport, aiming to contribute to sustainable technological solutions. M2 hosts one of Sweden’s most advanced simulator centers for ship navigation and propulsion, alongside world-class laboratories for combustion engineering and wind tunnel testing. M2 contributes to several bachelor’s and master’s programmes in areas such as Shipping, Automotive, and Mechanical Engineering, and offers professional education nationally and internationally as part of our commitment to lifelong learning. The department emphasizes strong collaboration between academia, industry, and society, with a clear focus on utilisation. M2 is characterised by an international environment, with researchers and students from around the globe. The Division of Marine Technology focuses on the professional understanding and technical development of ship operational performance. Research areas include structural integrity, fatigue and fracture mechanics, collision survivability, hull design, risk and reliability analysis, ship resistance and motions, and propulsion systems. Our research spans both basic and applied sciences, contributing to design support, regulatory advancements, and operational models for ships. Safety and energy efficiency in shipping are central to the division's activities, which also include responsibility for the master's programme in Naval Architecture and Ocean Engineering and contributions to the education of seafarers. Your profile To qualify for this position, you must hold a PhD (awarded no more than three years prior to the application deadline*) in computer science, maritime transportation, or a related field, with a strong foundation in mathematics and statistics. Required qualifications and skills: • Solid understanding of maritime transport systems and risk assessment. • Proven programming skills (to be demonstrated prior to starting the position). • Excellent communication skills in English, both written and oral. • Strong ability to work independently and take initiative. • Collaborative mindset and willingness to engage in interdisciplinary work. • Demonstrated experience in publishing in international scientific journals and presenting research to large audiences. * Exceptions to the 3-year rule may be made for parental leave, sick leave, or military service. The official date on your doctoral diploma will be considered as the date of PhD completion. Contract terms This position is a full-time temporary employment limited to two years (1+1 year) What we offer Chalmers provides a cultivating and inspiring working environment in the coastal city of Gothenburg.  Read more about working at Chalmers and our benefits for employees. Chalmers aims to actively improve our gender balance. We work broadly with equality projects, for example the GENIE Initiative on gender equality for excellence. Equality and diversity are substantial foundations in all activities at Chalmers. Application procedure The application should be written in English and be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files. CV: (Please name the document as: CV, Surname) including: • CV, include complete list of publications • Previous teaching and pedagogical experiences • Two references that we can contact. Personal letter: (Please name the document as: Personal letter, Family name) 1-3 pages where you: • Introduce yourself • Describe your previous research fields and main research results • Describe your future goals and future research focus Other documents: • Attested copies of completed education, grades and other certificates. Use the button at the foot of the page to reach the application form. Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered. Application deadline: 15 September, 2025   For questions, please contact: Wengang Mao, Division of Marine Technology, [email protected], +46 (0) 31 772 1483 Jonas Ringsberg, Head of division of Marine Technology [email protected], +46 (0) 31 772 14 89

The new Right-to-Repair directive will push manufacturers to enable repairs, empowering consumers and promoting circular economy. Yet, the logistics implications of this new directive, as well as other initiatives around repairability, is unclear. The postdoc will explore impacts and challenges for different actors involved, including ensuring a steady supply of spare parts, the complexities of managing reverse logistics for returned products, and the potential disruptions to existing distribution networks. About us and the research project The division of Supply & Operations Management (SOM) conducts research, education and outreach activities related to logistics, operations management, and industrial marketing and purchasing. All of these areas relate to the broader field of supply chain management. Our research is problem-oriented and empirical, with strong emphasis on industry and societal relevance. Sustainability needs , digitalization, information technology developments and automation are focused drivers and enablers in our work. Our goal is to perform high quality research and education at bachelor, master and doctoral levels.  The postdoc is expected to conduct high-quality research in a collaborative manner. Conducting interviews, workshops, and collecting case study data, translating the case observations into analytical representations, writing and presenting high quality papers, and being involved in teaching activities. Additionally, you will engage with our local networks, such as Northern Lead and Chalmers Transport Area of Advance as well as various international networks. Who we are looking for We seek candidates with the following qualifications: • To qualify for the position of postdoc, you must hold a doctoral degree awarded no more than three years prior to the application deadline. • PhD in a relevant field (e.g., logistics, supply chain management, operations management, engineering, or related disciplines). • Experience with case study methodology and the ability to translate qualitative data into quantitative models. • A track record of high-quality publications. The position requires sound verbal and written communication skills in English. Swedish is not a requirement but Chalmers offers Swedish courses. You are expected to be somewhat accustomed to teaching, and to demonstrate good potential within research and education. * The date shown in your doctoral degree certificate is the date we use, as this is the date you have met all requirements for the doctoral degree. Exceptions from the 3-year limit can be made for longer periods resulting from parental leave, sick leave or military service. What you will do Your major responsibility as a postdoc is to perform your own research in a research group: • Conduct in-depth case studies on repairability and the "right-to-repair". • Analyze and interpret data to develop analytical models and representations. • Collaborate with interdisciplinary teams to integrate findings into broader research contexts. • Publish research findings in high-ranked journals and present at conferences. The position may also include up to 20% teaching on undergraduate and master's levels as well as supervising master's and/or PhD students to a certain extent. Another important aspect involves collaboration within academia and with society at large. The position is meritorious for future research duties within academia as well as industry/the public sector. What we offer Chalmers provides a cultivating and inspiring working environment in the coastal city of Gothenburg.  Read more about working at Chalmers and our benefits for employees. Chalmers aims to actively improve our gender balance. We work broadly with equality projects, for example the GENIE Initiative on gender equality for excellence. Equality and diversity are substantial foundations in all activities at Chalmers. If Swedish is not your native language, Chalmers offers Swedish courses to help you settle in. Contract terms This postdoc position is a full-time temporary employment for two years, running from early 2026 towards the end of 2027. Application Procedure Please submit your application in English as PDF files according to the instructions below. Each file should not exceed 40 MB. Note: The system does not support Zip files. 1. CV Name the document as: CV, [Your Surname]. Include the following: • A comprehensive CV, including a complete list of publications. • Details of previous teaching and pedagogical experience. • Contact information for two references. 2. Personal Letter Name the document as: Personal Letter, [Your Surname]. Limit the letter to 1–3 pages and include: • A brief introduction about yourself. • A summary of your previous research fields and key research outcomes. • An outline of your future goals and research focus. Use the button at the foot of the page to reach the application form.  Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered. Application deadline:  August 25, 2025 For questions please contact: Patricia van Loon, Associate Professor, Supply and Operations Management Email: [email protected] Phone +46 31 772 18 75 Ala Arvidsson, Associate Professor, Supply and Operations Management Email: [email protected] Phone +46 31 772 13 72 We look forward to your application! *** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. ***  Chalmers University of Technology in Gothenburg conducts research and education in technology and natural sciences at a high international level. The university has 3100 employees and 10,000 students, and offers education in engineering, science, shipping and architecture. With scientific excellence as a basis, Chalmers promotes knowledge and technical solutions for a sustainable world. Through global commitment and entrepreneurship, we foster an innovative spirit, in close collaboration with wider society. Chalmers was founded in 1829 and has the same motto today as it did then: Avancez – forward.

We invite applications for a postdoctoral researcher to join an interdisciplinary project aimed at advancing safe and transparent control for autonomous, over-actuated electric vehicles. This position is part of a collaborative effort between Chalmers University of Technology, Volvo Cars, and Volvo Group, and offers a unique opportunity to work at the intersection of control theory, machine learning, and vehicle technology. The research addresses key challenges in motion planning and control under uncertainty, with a particular focus on how to allocate forces and make robust decisions when some vehicle actuators may be partially or fully degraded. You will contribute to both theoretical developments and applied solutions, with a strong emphasis on safety, interpretability, and real-time feasibility. This is a stimulating position for candidates interested in interpretable AI, formal safety guarantees, and impactful research in sustainable mobility. Project overview The position focuses on interpretable, learning-based stochastic optimal control for over-actuated electric vehicles—vehicles with more actuators than degrees of freedom, which enable sophisticated control strategies but also increase system complexity. Your work will include: • Developing modular, efficient, and transparent control algorithms. • Combining model predictive control with learning-based motion prediction under uncertainty. • Ensuring algorithms can be deployed in real-time settings. • Contributing to the development of open-source tools. The project has both a strong theoretical foundation and practical relevance, aiming to deliver robust, explainable control methods that can be applied in real-world scenarios. As a postdoc, you will also contribute to the academic environment through co-supervision of students, publication of results in high-impact journals and conferences, and participation in national and international research collaborations. Research environment You will be based at the Systems and Control Division at Chalmers, which conducts research in modelling, learning, and optimization for systems such as robots, autonomous vehicles, and electromobility solutions. The division offers a rich academic setting with strong expertise in control theory, machine learning, and probability. You will also collaborate with: • Vehicle Safety Division, which applies systems engineering and human factors to improve traffic safety. This division is internationally recognized for its work in virtual safety assessment and predictive evaluation of driver behavior and vehicle systems. • Vehicle Engineering and Autonomous Systems (VEAS) Division, which conducts research in sustainable transportation, including vehicle dynamics, autonomous systems, and energy-efficient mobility solutions. Together, these divisions create a dynamic and interdisciplinary environment with close ties to industry and society. Main responsibilities • Conduct high-quality research in interpretable, learning-based stochastic optimal control. • Design and implement scalable algorithms for motion planning and control in uncertain environments. • Collaborate with industry partners to validate methods via simulation and, potentially, real-world prototypes. • Publish research results and present them at international venues. • Engage in cross-disciplinary collaborations and contribute to the broader research community at Chalmers. • Support the supervision of bachelor’s, master’s, and PhD students. • Contribute to the preparation of research proposals and technical reports. Your profile To be eligible for this position, you must have: • A PhD awarded no more than three years prior to the application deadline, in a relevant subject area such as control systems, robotics, applied mathematics, or machine learning.* • Strong programming skills and experience with numerical methods and simulation. • Excellent communication skills in English, both written and spoken. • Demonstrated ability to work in international and cross-organizational research environments. *Exceptions to the three-year rule may be granted for documented periods of parental leave, sick leave, or military service. The date on your doctoral certificate will be used to determine eligibility. Contract terms This postdoc position is a full-time temporary employment for two to three years. What we offer Chalmers provides a cultivating and inspiring working environment in the coastal city of Gothenburg.  Read more about working at Chalmers and our benefits for employees. Application procedure The application should be written in English and be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files. CV: (Please name the document as: CV, Surname) including: • CV, include complete list of publications • Previous teaching and pedagogical experiences • Two references that we can contact. Personal letter: (Please name the document as: Personal letter, Family name) 1-3 pages where you: • Introduce yourself • Describe your previous research fields and main research results • Describe your future goals and future research focus Other documents: • Attested copies of completed education, grades and other certificates. Use the button at the foot of the page to reach the application form. Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered. Application deadline: 15 July, 2025 For questions, please contact: Prof. Nikolce Murgovski, Systems and Control [email protected], +46-31-772-4800 Senior Researcher, Mats Jonasson, Vehicle Engineering and Autonomous Systems [email protected], +46-31-772-1373 Researcher Jordanka Kovaceva, Vehicle Safety [email protected], +46-31-772-1266 *** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. ***