Application deadline: May 31, 2020
Applications can be submitted in KTH’s recruitment system from May 14.
There is currently an opening for a PhD position in probability and high-dimensional statistical inference in the context of brain modelling. The goal of the project is to develop, implement and analyse robust and scalable methods for uncertainty quantification and sensitivity analysis of models related to the brain, with a focus on intracellular nerve cell models. The position is part of the Brain-IT program within SeRC, the Swedish e-Science Research Center. More detailed information about the project can be found here and the official announcement can be found here. Supervisors will be Pierre Nyquist (main supervisor), Olivia Eriksson and Andrei Kramer (co-supervisors). Contact details are below if you should have any questions.
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, neuroinformatics and systems biology. It is necessary to have some experience in programming.
The position is a fully funded time-limited, full-time, five year position starting August 2020 or at an agreed upon date.
Official announcement: Here
More detailed information: Here.
Contact: Pierre Nyquist (pierren@kth.se) or Olivia Eriksson (olivia@kth.se)
