The Computational Molecular Biology Group (head: Frank Noé) is an interdisciplinary research unit active in the modeling and simulation of molecular processes. We have a strong profile in developing novel simulation and analysis methods, and associated software. Our current strategic focus is on questions such as biomolecular association and assembly, as well as functional conformational changes. A closely collaborating unit, we put great emphasis on interaction with experts from related disciplines.
The present opening is in software development related to molecular dynamics simulation within the framework of a EU‐funded project. Fields of activity will include software development for distributed molecular dynamics and Markov model construction. The candidate will be involved in research activities in the area of molecular dynamics simulation, Markov modeling and method development. The position is ideal for candidates with a strong background in software development and molecular simulation, wishing to conduct original research in a dynamic and diverse team science environment.
PhD in physics, chemistry or a related natural science or engineering discipline.
*Demonstrated record in scientific software development incl. design and programming of large software projects
*working knowledge of existing molecular dynamics codes or related software
*proficiency in molecular simulation
*excellent computational and programming skills (e.g. C++, Java, Python)
*Experience with high‐throughput simulation, e.g. GPU or distributed computing
*GPU‐programming skills in e.g. CUDA welcome
*hands‐on experience in setting up computer systems and Linux‐based software installation
*strong team ethics and willingness to contribute to the unit’s skills base
*being a team-player, excellent social and communication skills
*excellent English both verbal and written.
Applications including CV, list of publications/reference projects and contact details of 2 scientific referees should be submitted by email no later than July 8th, 2013 to frank.noe@fu‐berlin.de (scientific contact) cc: katja.geiger@fu‐berlin.de (administrative contact). Please quote reference code ERC/2013/01 in your application and in all correspondence concerning this vacancy.
For more information about the research unit see: www.research.franknoe.de
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