The research project NETWORKS is looking for 6 international postdoctoral fellows in mathematics, computer science and quantum computing. Are you interested in the stochastics and algorithmics behind network problems? And would you like to be part of this project with its many activities? Then we invite you to apply for one of these positions.What are you going to do?
Research in NETWORKS focuses on stochastics
(including queueing theory, random graphs, stochastics processes, stochastic optimization) and algorithmics
(including computational geometry, graph theory and algorithms, combinatorial optimization, quantum algorithms, algorithmic game theory) for network
The core of your appointment will be to perform research, in collaboration with and coached by your supervisor(s). NETWORKS offers an excellent environment for research. In addition to the main supervisor, you will be assigned a second supervisor who brings in additional expertise. Supervisors work very closely with their postdoctoral fellows and PhD students, to maximize the quality of the research. You will also have a generous travel budget, allowing you to visit international conferences, workshops, summer schools and research visits to universities outside The Netherlands.
NETWORKS offers an extensive and inspiring training programme and several other NETWORKS events that you will participate in. The research and training program of NETWORKS offers you excellent opportunities for a future career, be it in academia, government, or industry. NETWORKS graduates found jobs at top academic institutions, both in and outside Europe (including MIT, Georgia Tech, Warwick University, and Max-Planck-Institut für Informatik), at major multinationals in the high-tech and financial industry (including Microsoft, Google, PriceWaterhouseCoopers and ABN-AMRO), and at medium-size companies and start-ups.
For the specific position with Michel Mandjes at the University of Amsterdam we are seeking a postdoc candidate in the field of the broader area of stochastic processes and their applications. Research could focus on any special class of processes, such as population processes, queues, (reflected) Gaussian processes, Hawkes processes etc., with emphasis on multivariate versions and network models. Potential research lines could concern scaling limits, large deviations, and rare-event analysis. Another possible direction lies in the estimation of model primitives from network data (for instance in the context of stochastic processes flowing on a randomly evolving graph). Depending on the specific topic chosen, prof. Roger Laeven could be involved in the supervision.
Extensive information about the research within NETWORKS, the programme and its activities and your position as a postdoctoral fellow is described in the Information Package: https://www.thenetworkcenter.nl/uploaded_files/inlineitem/1Networks_Cofund_Infopackage_3rdcall_postdocs_2023.pdf