News

Open Competition ENW-KLEIN-1 grant

I have recently been awarded an NWO Open Competition ENW-Klein-1 grant. Here is a description of this funding program:

In the NWO Open Competition Domain Science researchers can apply individually or in collaboration for curiosity-driven, fundamental research in the research fields of the NWO Domain Science (ENW).

This funding instrument is open for research proposals with a question in or overlapping the fields of earth sciences, astronomy, chemistry, computer science, life sciences, physics and mathematics. Proposals can be monodisciplinary, multidisciplinary or interdisciplinary in nature. The NWO Domain Science has three different types of funding that you can submit proposals for in open competition. These are the small-scale (KLEIN, XS) and large-scale (GROOT) grants.

Source: nwo.nl

The topic of the grant proposal is Clustering and Spectral Concentration in Markov Chains. Here is its public summary:

Public summary

The ability to accurately discover all hidden relations between items that share similarities is of paramount importance to a wide range of disciplines. Clustering algorithms in particular are employed throughout social sciences, biology, computer science, economics, and physics. One fundamental technique from artificial intelligence that still needs to benefit from clustering is Reinforcement Learning (RL), which has recently received substantial attention due to its wide spectrum of applications in robotics, games, medicine, finance, etc. By tackling the problem of clustering in Markov Chains (MCs) mathematically, we can exponentially speed up RL in the future and enter a new era of artificial intelligence.

Vacancy

The KLEIN-1 grant allows us to hire one PhD student. I have added the vacancy to my page on available projects. The vacancy is also advertised formally on TU/e’s website.

Jaron
Jaron
Jaron Sanders received in 2012 M.Sc. degrees in Mathematics and Physics from the Eindhoven University of Technology, The Netherlands, as well as a PhD degree in Mathematics in 2016. After he obtained his PhD degree, he worked as a post-doctoral researcher at the KTH Royal Institute of Technology in Stockholm, Sweden. Jaron Sanders then worked as an assistant professor at the Delft University of Technology, and now works as an assistant professor at the Eindhoven University of Technology. His research interests are applied probability, queueing theory, stochastic optimization, stochastic networks, wireless networks, and interacting (particle) systems.
https://www.jaronsanders.nl