Sebastien Gros

The Norwegian University of Science and Technology (NTNU) invites applications for a PhD position in Integrated Predictive Maintenance in Wind Energy, hosted at the Department of Engineering Cybernetics (ITK) in Trondheim. This position is part of the Northwind research center and closely integrated with the Norwegian Center on AI for Decision (aiD) and NTNU's strategic area Energy. The research aims to advance the integration of maintenance processes with the economics of wind energy, focusing on minimizing downtime, managing risks, and optimizing inspection and maintenance costs through data-driven, probabilistic AI methods and optimization-based decision making. The successful candidate will join a vibrant research environment with strong collaborations across departments (Energy and Economics) and industry partners. The project offers opportunities for international engagement, including conferences and research stays abroad, and emphasizes validation of research on industrial use-cases. The position is supervised by Professor Sebastien Gros, director of the Norwegian Center on AI for Decision. Key duties include: completing doctoral education, conducting high-quality research, publishing academic and popular science work, active participation in Northwind, aiD, and NTNU Energy, and contributing to international research activities. The position is for three years, with a gross annual salary of NOK 550,800 (subject to qualifications and seniority), and includes membership in the Norwegian Public Service Pension Fund, working capital for project implementation, and free basic Norwegian language training if desired. Eligibility: Applicants must hold a relevant Master's degree (Automation, Cybernetics, Mathematics, Electric Energy, Industrial Economics, Data Science, or equivalent) corresponding to a five-year Norwegian course with 120 credits at master's level. Master students may apply but must complete the degree before starting. A strong academic record (B or better on NTNU's scale) is required; exceptions may be made for candidates with demonstrated suitability. Strong skills in mathematics, probabilities, optimization, and programming are essential. Preferred qualifications include experience with AI/probabilistic AI/Machine Learning, numerical optimization, MPC, programming (Python, C), predictive maintenance, fatigue, and fault detection. Good oral and written English skills are required. Admission to the PhD program in Engineering Cybernetics within three months of employment is mandatory. NTNU offers a supportive, diverse, and inclusive work environment, career guidance, and a mentor program for new employees. The university values creativity, critical thinking, and collaboration, and strives for gender balance and diversity in scientific positions. The city of Trondheim provides a high quality of life, excellent public services, and a rich cultural scene. Application process: Applications must be submitted electronically via Jobbnorge.no, including all required documents (transcripts, diplomas, CV, master's thesis or draft, motivation letter, publications, certificates, and contact information for three referees) in English. The application deadline is 20 May 2026. For further information, contact Professor Sebastien Gros ([email protected]) or HR Consultant Berit Dahl ([email protected]). For more details and to apply, visit the official job posting: Jobbnorge .

The Norwegian University of Science and Technology (NTNU) invites applications for a PhD position in Reinforcement Learning and Model Predictive Control (MPC) at the Department of Engineering Cybernetics (ITK) in Trondheim, Norway. This position is part of the Norwegian Center on AI for Decision (aiD), a research centre with strong industrial connections and collaborations with over 60 companies. The research will focus on the integration of Reinforcement Learning (RL) and MPC, addressing topics such as verification pathways, risk management, sample efficiency, optimized exploration, and latent/belief state embedding in RLMPC. The project will involve theoretical and algorithmic development, software implementation, and validation on industrial case studies. As a PhD candidate, you will be supervised by Professor Sebastien Gros, director of the Norwegian Center on AI for Decision. You will participate actively in the aiD center and NTNU's strategic area Energy, and engage in international activities such as conferences and research stays. The position offers a stimulating environment with access to career guidance, mentoring, and a diverse, inclusive workplace. NTNU is committed to equality and diversity, and encourages applications from all qualified candidates, with measures in place to promote gender balance in scientific positions. The position is fully funded by NTNU for three years, with a gross annual salary of NOK 550,800 (subject to a 2% pension fund deduction). Employees benefit from membership in the Norwegian Public Service Pension Fund (SPK), free basic Norwegian language training (A2), and a range of employee benefits. The employment is subject to admission to the PhD programme in Engineering Cybernetics within three months of the contract start date, and physical presence at NTNU is required. Applicants must hold a relevant Master's degree (or equivalent) in Automation, Cybernetics, Mathematics, Data Science, or related fields, with a strong academic record (B or better on the NTNU scale). Strong skills in mathematics, probabilities, optimization, and programming are essential. Experience with AI, machine learning, reinforcement learning, numerical optimization, MPC, and programming (Python, C) is preferred. Good oral and written English skills are required. The application must include a CV, transcripts, diplomas, project outline, motivation letter, publications, certificates, and referee contacts. Applications must be submitted electronically via Jobbnorge.no by 20 May 2026. For further information, contact Professor Sebastien Gros ([email protected]) or HR Consultant Berit Dahl ([email protected]). For practical information about working at NTNU, visit the university website. NTNU is located in Trondheim, a modern European city known for its vibrant tech scene, high quality of life, and excellent public services.

The Department of Engineering Cybernetics at the Norwegian University of Science and Technology (NTNU) invites applications for a PhD position in Reinforcement Learning and Model Predictive Control (MPC). NTNU is a leading technical-scientific university located in Trondheim, Norway, with a strong focus on professional education and research. The Department of Engineering Cybernetics (ITK) specializes in decision-making, optimization, control, and artificial intelligence for cyber-physical systems, and is part of the Faculty of Information Technology and Electrical Engineering. This PhD position is integrated within the Norwegian Center on AI for Decision (aiD), a research centre collaborating with over 60 companies and offering broad expertise and strong industrial connections. The research will focus on combining Reinforcement Learning (RL) and Model Predictive Control (MPC), building upon previous work at ITK. Key research areas include verification pathways in RLMPC, risk management, sample efficiency and optimized exploration, and latent state and belief state embedding in RLMPC. The project will involve theoretical and algorithmic development, software implementation, and validation through industrial case studies. As a PhD candidate, you will complete doctoral education, conduct high-quality research, publish academic and popular science articles, participate actively in the aiD center and NTNU's strategic area Energy, attend international conferences or research stays, and validate research on industrial use-cases. The position offers an exciting mission in society, career guidance, a supportive international environment, working capital, mentor programme, and favorable terms as a member of the Norwegian Public Service Pension Fund. Free Norwegian language training at a basic level (A2) is available if desired. Applicants must hold a relevant Master's degree in Automation, Cybernetics, Mathematics, Data Science or equivalent, corresponding to a five-year Norwegian course with 120 credits at master's level. Master students may apply if the degree is completed before starting. A strong academic background is required, with an average grade of B or better on NTNU's grading scale. Good oral and written English skills are mandatory, along with strong skills in mathematics, probabilities, optimization, and programming. Preferred qualifications include experience with AI, probabilistic AI, Machine Learning, Reinforcement Learning, numerical optimization, MPC, and programming (Python, C). Admission to the PhD programme in Engineering Cybernetics within three months of employment is required. The position is funded by NTNU, with a gross salary of NOK 550,800 per annum for a 3-year employment period. A 2% statutory contribution to the State Pension Fund is deducted from the salary. The appointment is made in accordance with NTNU's guidelines and regulations for PhD degrees. Diversity and inclusion are core values at NTNU, and applications are encouraged from candidates of all backgrounds. Female candidates will be prioritized in case of equal qualifications. To apply, submit your application and all required attachments electronically via Jobbnorge.no by the deadline of 20 May 2026. Ensure your documents are in English and include transcripts, diplomas, CV, master's thesis, project outline, motivation letter, publications, certificates, and referee contact information. If invited to interview, bring certified copies of certificates and diplomas. For further information about working at NTNU and the application process, visit the university's website. Trondheim is a vibrant European city known for its rich cultural scene, technological innovation, and high quality of life. The Norwegian welfare state offers excellent healthcare, education, and equality, making it an attractive location for international researchers and students.

The Department of Engineering Cybernetics at the Norwegian University of Science and Technology (NTNU) in Trondheim is offering a fully funded PhD position in Integrated Predictive Maintenance in Wind Energy. NTNU is Norway’s leading technical-scientific university, renowned for its research and professional education, with a vibrant community of 9,000 employees and 43,000 students. This PhD project is hosted within the Department of Engineering Cybernetics (ITK), which specializes in decision-making, optimization, control, and AI for cyber-physical systems. The position is part of the Northwind research center and closely integrated with the Norwegian Center on AI for Decision (aiD) and NTNU’s strategic area Energy. The research aims to advance the integration of maintenance processes with the economics of wind energy, considering downtime costs, risks, and inspection/maintenance expenses. The project will employ a novel, data-driven, holistic approach using probabilistic AI methods and optimization-based decision making. As a PhD candidate, you will conduct research, publish academically and in popular science, participate in Northwind, aiD, and NTNU Energy activities, attend international conferences or research stays, and validate research on industrial use-cases. The position offers strong collaboration and co-supervision with departments in Energy and Economics, as well as research institutes and Norwegian industry partners. Applicants must hold a relevant Master’s degree (Automation, Cybernetics, Mathematics, Electric Energy, Industrial Economics, Data Science, or equivalent), corresponding to a five-year Norwegian course with 120 credits at the master’s level. Master students may apply if the degree is completed before starting. A strong academic background is required, with an average grade of B or better on NTNU’s grading scale or equivalent. Good oral and written English skills are mandatory. Strong skills in mathematics, probabilities, optimization, and programming are essential. Preferred qualifications include experience with AI, probabilistic AI, machine learning, numerical optimization, MPC, Python, C, predictive maintenance, fatigue, and fault detection. The position is funded by Northwind and offers a gross salary of NOK 550,800 per annum, with a 2% statutory contribution to the State Pension Fund. The employment period is three years. Additional benefits include working capital for project implementation, membership in the Norwegian Public Service Pension Fund, and free Norwegian language training at a basic level (A2) if desired. NTNU provides a supportive, inclusive, and diverse working environment, with career guidance and a mentor program for new employees. To apply, submit your application and all required attachments electronically via Jobbnorge.no by the deadline of 20 May 2026. Required documents include transcripts and diplomas, CV, copy or draft of Master’s thesis, documentation of completed Master’s degree, motivation letter, publications, certificates, and names/contact information of three referees. All documents must be in English. If invited to interview, bring certified copies of certificates and diplomas. NTNU is committed to diversity and equality, aiming to reflect the diversity of society and harness collective skills for better problem solving. Female candidates are favored at equal qualifications. The city of Trondheim offers a rich cultural scene, excellent welfare, and opportunities for education, nature, and family life. For further information, visit the application link or NTNU’s website. The deadline for applications is 20 May 2026.