I always look for excellent people to work with. Below is a list of current open positions; if you have other ideas or thoughts, just contact me.
As a rule of thumb: if you're interested in working with me, just contact me; there may be other options than what is currently listed. Otherwise, click on the type of position that is of interest to you below, and read on. If you're interested in applying them it may be useful to read some tricks on how to apply (here).
Georgios Arvanitidis and myself have an open PhD scholarship in Machine Learning for Real-Time Radiation Measurements. The project is part of a larger consortium that aims to build highly accurate radiation measurement devices, e.g. for mammographies and space applications. Your task is to turn a computationally heavy physics model into a neural network suitable for real-time, on-chip use. Feel free to reach out to either me or Georgios if you have questions.
Curiosity, motivation, and an easy going personality. Those are the key characteristics that I look for in a candidate. The projects we work on take inspiration from many diverse communities, so you will most likely only be familiar with some aspects of the projects before you start.
Much of the work that we do spans several branches of science, and consequently, there is no "right" educational background. Remember, if you're a great candidate, then we will adapt the project to fit you. If you have a background in e.g. computer science, physics, statistics, (pure and/or applied) mathematics, or a related field, then you should fit right in. If you have another background that you feel is relevant, then just tell me that this is equally good :-)
The projects will often span several branches of mathematics, though mostly with a focus on probability theory and geometry. I therefore expect a certain level of mathematical maturity from you.
All mathematical models we consider, should eventually translate into working software implementations. As such, I also expect that you have working experience with numerical implementations of mathematical models. Most of the stuff we do is written in Matlab/Octave and Python.
You will be part of the section for Cognitive Systems, which is an internationally renowned group for machine learning research. The group aims for the highest quality research. You're encouraged to collaborate both within the group and with other international groups.
Both salary and working conditions are excellent. The group is a down-to-earth and fun place to be. The university is located in the greater Copenhagen area, and consequently most group members live in Copenhagen. This often named as the best city in the world to live, and for good reasons. Copenhagen is really nice! It's world renowned for food, beer, art, music, architecture, the Scandinavian "hygge", and much more. Parental leave is generous and child-care is excellent and cheap (my daughter at least loves her kindergarten).
Then reach out to me!