PhD position on Robust and Ethical Autonomous AI in Digital Markets

With this interdisciplinary PhD project you will lay the foundations for a comprehensive theoretical framework for Multi-Agent Deep Reinforcement Learning (MDRL) in the context of algorithmic collusion. To this end, you will establish (1) theoretical and computational convergence guarantees for specific MDRL algorithms, (2) guarantees for algorithmic robustness to environmental changes and (3) average as well as worst-case performance.

The project offers collaborations across three different research groups at the University of Twente. While affiliated with the Stochastic Operations Research group, you will benefit from joint supervision, fostering synergies with the Statistics group and the Formal Methods and Tools group.

The UT and the faculty EEMCS are inclusive toward underrepresented groups and strive to increase the proportion of female staff. Female applicants are particularly welcome.

Are you interested in this position? Applicants are welcomed to submit their application before 15th of April, 2024 via the ‘Apply now’ button. Please include in your application

• A cover letter (maximum 2 pages A4) emphasizing your specific interest, qualifications, and motivations to apply for this position.
• A full Curriculum Vitae. Your CV should demonstrate the scope of your work and education and indicate a good fit with the stated requirements for the position. If applicable, also include a list of publications and references.
• An academic transcript of B.Sc. and M.Sc. education, including grades.
• A copy of your Master's thesis or, if it is not yet available, an outline and summary of your thesis.
• An IELTS-test, Internet TOEFL test (TOEFL-iBT), or a Cambridge CAE-C (CPE). Applicants with a non-Dutch qualification and who have not had secondary and tertiary education in English can only be admitted with an IELTS-test showing a total band score of at least 6.5, internet. TOEFL test (TOEFL-iBT) showing a score of at least 90, or a Cambridge CAE-C (CPE).

For more information regarding this position, you are welcome to contact Janusz Meylahn ([email protected])

The position will be in the Applied Mathematics department. The Applied Mathematics department has an active research portfolio in stochastic operations research, algorithmic discrete mathematics, complex networks, statistics, systems theory, computational science, and artificial intelligence with applications in health care, energy systems, traffic, and imaging. See MOR and SACS   and MDS for information.

Our research group, Stochastic Operations Research (SOR), conducts mathematical education and research of internationally high standards in the areas of stochastic processes and mathematics of operations research to contribute to the development of mathematics in a multidisciplinary engineering environment and contribute to a better understanding and functioning of our increasingly complex society. See SOR .

The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and Communication Technology (ICT). With ICT present in almost every device and product we use nowadays, we embrace our role as contributors to a broad range of societal activities and as pioneers of tomorrow's digital society. As part of a people-first tech university that aims to shape society, individuals and connections, our faculty works together intensively with industrial partners and researchers in the Netherlands and abroad, and conducts extensive research for external commissioning parties and funders. Our research has a high profile both in the Netherlands and internationally. It has been accommodated in three multidisciplinary UT research institutes: Mesa+ Institute, TechMed Centre and Digital Society Institute.