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Department: Department of Electronics and Information and Communication Technologies LET’S SHAPE THE FUTURE - UNIVERSITY OF ANTWERPThe University of Antwerp is a dynamic, forward-thinking, European university. We offer an innovative academic education to more than 20000 students, conduct pioneering scientific research and play an important service-providing role in society. We are one of the largest, most international and most innovative employers in the region. With more than 6000 employees from 100 different countries, we are helping to build tomorrow's world every day. Through top scientific research, we push back boundaries and set a course for the future – a future that you can help to shape. The Department of Electronics and ICT Engineering Technology in the Faculty of Applied Engineering is looking for a full-time (100%) doctoral scholarship holder in the field of robust artificial intelligence for industrial process optimisation. The research of this PhD position will be conducted in the IDLab research group, which is embedded in imec and the University of Antwerp in Belgium. Imec was founded in 1984 and is today the world’s largest independent research and innovation centre for nanoelectronics and digital technology. Our worldwide team of 6,000 scientists, engineers, and innovators from over 100 countries, is driven by a shared passion to push boundaries. With expertise across nanoelectronics, AI, and digital technologies, our people are at the heart of every breakthrough. POSITIONResearchYou will work actively on the preparation and defence of a PhD thesis in the field of reinforcement learning (RL) for industrial process control and optimisation. The research focuses on developing RL methods that can support decision-making and control in complex industrial systems while balancing multiple, often competing objectives. Industrial processes typically require trade-offs between objectives such as production efficiency, energy consumption, operational cost, product quality, safety, and sustainability. This project investigates how multi-objective RL can learn effective control policies that explicitly looks for equilibria against such competing requirements, while remaining reliable and scalable in realistic industrial settings. A particular challenge is to combine the adaptability of data-driven learning with the robustness and performance guarantees traditionally associated with advanced control methods. The research will therefore explore RL algorithms that not only operate optimally against such competing objectives but also effectively under uncertainty, changing operating conditions, and practical industrial constraints. The developed methods will be validated on realistic industrial benchmarks and process engineering use cases. In addition, techniques for analysing and interpreting learned agent behaviour will be investigated to support trust and adoption in industrial environments. The research aims to advance the state of the art in intelligent data-driven industrial control and demonstrate how RL can improve process performance, reduce energy consumption, and contribute to safer and more sustainable industrial operations. Other Responsibilities
PROFILEEducational Qualifications
Teaching and Research
Personal and Professional Skills
WHAT WE OFFERScholarship and DurationWe offer a doctoral scholarship for a period of one year. Following a positive evaluation, the scholarship can be renewed for another year, up to a maximum duration of four years in total. Start DateThe planned start date is December 1st, 2026, or as soon as possible. Financial and Professional Benefits
Work EnvironmentYou will do most of your work at City Campus (The Beacon) and Campus Groenenborger in a dynamic and stimulating working environment. Find out more about working at the University of Antwerp here. APPLICATION PROCESSYou can apply for this vacancy through the University of Antwerp’s online job application platform up to and including September 10th 2026 (by midnight Brussels time). Click on the 'Apply' button and complete the online application form. Required AttachmentsBe sure to include the following attachments:
Selection ProcessThe selection committee reviews all applications as soon as possible after the application deadline. As soon as a decision is made, we will notify you. If you are still eligible after the pre-selection, you will be informed about the possible next step(s) in the selection procedure. Interview Date: October 9th, 2026 Selected candidates will receive their interview invitations by September 25th, 2026. ContactIf you have any questions about the online application form, please check the frequently asked questions or send an email to jobs@uantwerpen.be. If you have any questions about the job itself, please contact Siegfried Mercelis siegfried.mercelis@uantwerpen.be. ABOUT THE UNIVERSITY OF ANTWERPThe University of Antwerp received the European Commission’s HR Excellence in Research Award for its HR policy. We are a sustainable, family-friendly organisation which invests in its employees’ growth. We encourage diversity and attach great importance to an inclusive working environment and equal opportunities, regardless of gender identity, disability, race, ethnicity, religion or belief, sexual orientation or age. We encourage people from diverse backgrounds and with diverse characteristics to apply.
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