KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as in architecture, industrial management, urban planning, history and philosophy.
We seek a doctoral student to develop new computational methods to study structure and function of proteins, in particular membrane proteins. The Biophysics division is internationally leading in research on techniques both to simulate proteins with molecular dynamics and e.g. reconstruct structure from cryo-elektron microscopy. Within this project, we want to develop the next generation of methods to better combine experimental and computational techniques. Possible projects include the development of better Markov State Models to model slow dynamics in simulations, new methods to reconstruct motion in proteins from low-resolution cryo-EM data, and machine learning techniques to describe motions between different states.
Applicants must hold or be about to receive a MSc degree in physics, chemistry or related area, with very strong academic credentials. The work required prior experience both with biological systems and theoretical methods to study them. Experience in programming or simulation methods is a strong merit, as are skills in statistics and statistical mechanics. The work requires a very good command of written and spoken English, communication, as well as the ability to work well in a mixed international research group.
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Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.Type of employment: Temporary position longer than 6 months