Postdoc In Collective Decision-Making Algorithms for Autonomous Driving
Eindhoven University of Technology
Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow.The mission of the Department of Electrical Engineering is to acquire, share and transfer knowledge and understanding in the whole field of Electrical Engineering through education, research and valorization. We work towards a ‘Smart Sustainable Society’, a ‘Connected World’, and a healthy humanity (‘Care & Cure’). Activities share an application-oriented character, a high degree of complexity and a large synergy between multiple facets of the field.Research is carried out into the applications of electromagnetic phenomena in all forms of energy conversion, telecommunication and electrical signal processing. Existing and new electrical components and systems are analyzed, designed and built. The Electrical Engineering department takes its inspiration from contacts with high-tech industry in the direct surrounding region and beyond.The department is innovative and has international ambitions and partnerships. The result is a challenging and inspiring setting in which socially relevant issues are addressed.Short introductionAre you experience in autonomous driving and want to develop hierarchical AI-driven frameworks that enhance safety and efficiency at both the individual vehicle (microscopic) and broader mobility system (macroscopic) levels. The research will push the boundaries of current technology by integrating AI techniques such as Model Predictive Control (MPC), Reinforcement Learning (RL), and sophisticated modeling approaches.Job DescriptionWe invite applications for a Postdoctoral Researcher position focused on advancing collective decision-making algorithms within autonomous driving systems. his role involves developing hierarchical AI-driven frameworks that enhance safety and efficiency at both the individual vehicle (microscopic) and broader mobility system (macroscopic) levels. The research will push the boundaries of current technology by integrating advanced AI techniques such as Model Predictive Control (MPC), Reinforcement Learning (RL), and sophisticated modeling approaches.Key Responsibilities:
Required Knowledge and Experience:
Soft Skills:
Job Requirements
Conditions of EmploymentA meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:
that helps you to build a stronger and broader academic and personal network, and offers tailored support, training and workshops. * A
is available for international candidates, as are a tax compensation scheme (the 30% facility) and a compensation for moving expenses.InformationDo you recognize yourself in this profile and would you like to know more? Please contact the hiring manager dr. Sofie Haesaert ( ).Visit our website for more information about the or the . You can also contact HR Services Flux ( ).Are you inspired and would like to know more about working at TU/e? Please visit ourApplicationWe invite you to submit a complete application using the apply-button. The application should include a:
We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.Type of employment: temporary position | Contract type: full time | Number of positions: 1 | Full-time equivalent: 1.0 FTE | City: Eindhoven | County: Noord-Brabant | Country: Netherlands | Reference number: 2025/275 | Published: 2025-06-18 | Last application date: 2025-07-28
€4060 – 5331 per month
Eindhoven, Noord-Brabant
Thu, 19 Jun 2025 22:12:30 GMT
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