Here I will post any information related to open positions at the PhD or postdoc level. Even if there is currently no open call, if you are interested in pursuing a PhD or postdoc in probability and its applications at KTH, feel free to send me an email.

Note: For emails about specific positions, please include something in the subject line that indicates what position you are inquiring about.

Postdoc position within KTH's MathDataLab

Application deadline: January 20, 2021
Application information can be found on the Lab's webpage: MathDataLab
Detailed information: Here.

The MathDataLab within the Department of Mathematics, is currently offering three postdoc positions, starting in 2021. Together with Henrik Hult I have a proposed project at the intersection of Monte Carlo methods and machine learning. Several directions are possible, three are outlined in the project description but the position is by no means limited to those topics. We also have an ongoing collaboration with Prof. S. Juneja on related topics, funded by the Swedish Research Council, and the postdoc postion can be included in this collaboration; the position can include research visits to TIFR Mumbai. More detailed information about the project can be found here; potential candidates are also welcome to contact me before the deadline to ask questions about the position.

Researchers interested in one or more fields related to the following are encouraged to apply: probability theory, statistics, Monte Carlo methods, deep learning, optimal transport.



PhD position in probability and Monte Carlo methods within SeRC's Brain-IT project

Application deadline: Closed (May 31, 2020)
Applications can be submitted in KTH's recruitment system: Here
Detailed information: Here.

There is currently an opening for a PhD position in probability and high-dimensional statistical inference in the context of brain modelling. The aim is to investigate efficient Monte Carlo methods for models arising in neuroscience, including e.g. Approximate Bayesian computation (ABC), Hamiltonian Monte Carlo and Markov chain Monte Carlo methods for Riemannian manifolds. The position is part of the Brain-IT within SeRC, the Swedish e-Science Research Center. More detailed information about the project can be found here; intersted students are also welcome to contact me before the deadline to ask questions about the position.

Students interested in one or more fields related to the following are encouraged to apply: probability theory, statistics, Monte Carlo methods, uncertainty quantification, differential geometry, stochastic analysis.

The position is a fully funded time-limited, full-time, five year position starting August 2020 or at an agreed upon date.

WASP PhD position in probability, analysis and AI

Application deadline: Closed (March 8, 2020)
Applications can be submitted in KTH's recruitment system from February 13.
Detailed information: Here.

There is currently an opening for a PhD position in the mathematics of artificial intelligence. The aim is to investigate learning algorithms from the perspective of statistical physics, probability theory and analysis (large deviations, stochastic control, PDEs and gradient flows) and to build towards a theory for deep learning. The position is part of the WASP program. More detailed information about the project can be found here; intersted sutndets are also welcome to contact me before the deadline to ask questions about the position.

Students interested in one or more fields related to the following are encouraged to apply: probability theory, artificial intelligence, machine learning, statistics, partial differential equations, interacting particle systems, statistical physics, stochastic analysis.

The position is a time-limited, full-time, five year position starting August 2020 or at an agreed upon date. The position is fully funded for four years and will be extended to five years by assigning teaching duties. It also includes generous travel support. The position is financed within the Wallenberg Autonomous Systems and Software Program (WASP), and the student will participate in the WASP graduate school. Through this program the student will have a wide variety of opportunities to interact with other researchers and industry collaborators in AI, ML, and statistics, including events such as conferences and PhD courses.