Jobid=815f6484e74a (0.0202)
ph3PhD research position in game theory and multi-agent optimization for complex systems /h3pstrongJob description /strong /ppThe candidate will conduct theoretical and computational research on game theory and multi-agent optimization for complex systems. The research will develop and build upon tools from distributionally robust optimization, convex-monotone game theory and data-driven optimal transport. /ppPotential application areas include distributed power systems, multi-vehicle automated driving and human-machine collaboration. /ppThe position is in the context of the research project “Data driven Game theoretic Control for Constrained Systems” (ARGON), funded by the European Research Council (ERC). /ppTeaching activities are part of your PhD trajectory and may include, for example: supervising workgroups or lab sessions, assisting in courses, or mentoring BSc and MSc students. While teaching will not be your main responsibility, it offers valuable experience that supports your development and prepares you for future academic or professional roles. Teaching activities will not exceed 20% of your total appointment, averaged over the course of your PhD. /ppstrongJob requirements /strong /ppI am looking for 1 talented, outstanding PhD researcher with an MSc degree (or close to completion) in Systems and Control, or Electrical/Mechanical Engineering, or Applied Mathematics, or related field, with background and/or interest in Systems and Control, Optimization, Game Theory, and with good command of the English language (knowledge of Dutch is not required). /ppstrongTU Delft (Delft University of Technology) /strong /ppDelft University of Technology is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. /ppstrongFaculty Mechanical Engineering /strong /ppResearch and education at the ME faculty focusses on fundamental understanding, design, production including application and product improvement, materials, processes and (mechanical) systems. /ppME is a dynamic and innovative faculty with high-tech lab facilities and international reach. It’s a large faculty but also versatile, so we can often make unique connections by combining different disciplines. /ppstrongConditions of employment /strong /ppDoctoral candidates will be offered a 4-year period of employment in principle, but in the form of 2 employment contracts. An initial 1.5 year contract with an official go/no go progress assessment within 15 months, followed by an additional contract for the remaining 2.5 years assuming everything goes well and performance requirements are met. /ppAs a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills. /ppThe TU Delft offers a customisable compensation package, discounts on health insurance, and a monthly work costs contribution. Flexible work schedules can be arranged. /p /p #J-18808-Ljbffr
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