Sort by
Refine Your Search
-
Category
-
Country
-
Program
-
Field
-
the faculty on academic research projects, teaching related tasks and assignments about societal impact. Potential tasks include data collection and analysis, conducting literature reviews, statistical analyses
-
research projects, teaching related tasks and assignments about societal impact. Potential tasks include data collection and analysis, conducting literature reviews, statistical analyses, research interviews
-
. The position gives excellent opportunities in publishing in high-quality forums. We expect the applicants to have a PhD degree (or close to completing one) in computer science, mathematics or statistics, with
-
of these three key areas: quantitative user studies, statistical modelling of human experimental data or human augmentation very good in scientific writing and communication skills very good knowledge
-
) in computer science, mathematics or statistics, with an excellent publication record. Solid research experience in one or more of the following topics is expected: Graph neural networks Optimization
-
expertise, and ability to combine the particle-based approaches with statistical mechanics and continuum scale modelling of soft materials. The candidate should have demonstrated expertise in dissemination
-
algebras, tensor categories, lattice models of statistical physics, conformally invariant random processes, formalization of mathematics (preferably in Lean). The working language of the group is English
-
background in mathematics. We particularly value experience in the following topics: vertex operator algebras, infinite dimensional Lie algebras, tensor categories, lattice models of statistical physics
-
, molecular and mesoscale level particle-based techniques, continuum modeling, statistical approaches and machine learning. The successful candidates are expected to lead an outstanding independent research
-
modeling, statistical approaches and machine learning. The successful candidates are expected to lead an outstanding independent research program that complements and extends the existing research efforts