OverviewThis Ph.D. position is located at the intersection of multiple domains: we plan to employ tools from Game Theory and Control Theory to model resource allocation problems that belong to diverse engineering domains like traffic, energy, robotics, and more.ResponsibilitiesFurther develop the mathematical foundations of the "karma games", by deriving rigorous and principled generalizations to complex resource allocation schemes.Engineer these mechanisms and adapt them to practical application domains where they can be impactful and relevant.Collaborate with experts on these topics, both in the two laboratories involved in the collaboration and within the network of partners that form the NCCR Automation. Publish results in peer‑reviewed journals and present them at international conferences.As a member of the NCCR Automation, contribute to NCCR activities when relevant (supervision of students, communication, technology transfer, equal opportunities, outreach).Profile / QualificationsA solid training in the mathematical tools needed for the project, including dynamical systems and control systems, is necessary.Knowledge of game theory, multi‑agent systems, Markov decision processes, and any of the engineering domains mentioned above are valuable additions.The project will include numerical experiments, therefore some experience with computational methods and numerical simulations is useful.Because the project goals lie at the intersection of engineering and economics, we expect the student to be interested in the science of socio‑technical systems.As frequent collaborations are expected, a positive attitude towards teamwork, open communication, and collaborative science is expected.WorkplaceThe supervision will be joint between the two labs, although formally the student will be affiliated with either the group of Prof. Florian Dörfler at the Automatic Control Laboratory or with the group of Prof. Emilio Frazzoli at the Institute for Dynamics Systems and Control.We offerWe are offering a multifaceted and challenging position in a modern research environment with excellent infrastructure. The ideal starting date is the end of or the first months of the year, with a planned duration of 4 years.The supervision will be joint between the two labs, although formally the student will be affiliated with either the group of Prof. Florian Dörfler at the Automatic Control Laboratory or with the group of Prof. Emilio Frazzoli at the Institute for Dynamics Systems and Control.In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit the NCCR Automation Equal Opportunities page to find out how we ensure a fair and open environment that allows everyone to grow and flourish.We value diversityIn line with our commitment to a fair and open environment, we encourage readers to learn how we ensure everyone can grow and flourish.ApplicationCurious? We look forward to receiving your complete online application includinga letter of motivationCVcertificates and diplomascontact details of two reference personsPlease note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered. Questions regarding the position should be directed to Saverio Bolognani () or Andrea Censi (); applications sent to these email addresses will not be considered.About ETH Zürich
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