4 machine-learning-phd positions at KTH Royal Institute of Technology

Phd students in System Security, Formal Verification and Machine Learning

with a strong background in system security, formal verification, and/or machine learning to apply for two PhD positions, funded by Wallenberg AI, Autonomous Systems and Software Program (WASP

Doctoral student in Spatial Proteomics

to the understanding of the protein dynamics on a single cell level. You will collaborate with other research groups that develop complementary spatial omics methods and machine learning approaches to model spatial

Doctoral student in Molecular simulation of wetting

at the department of Mechanics. This position as a PhD student is within a collaborative environment that is shared with the department of Mechanics, where there is development of continuum methods as

Research student assistant Modelling energy systems and thermal components

collaboration with PhDs and researchers within the Heat and Power division. What we offer A position at a leading technical university that generates knowledge and skills for a sustainable future. Engaged and