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Open Positions 1
Time Span as soon as possible for 24 months
Application Deadline 31 Mar 2019
Financing yes
Type of Position
  • PhD - Individual Supervisor
Field of Research
  • Engineering
Subjects Applied Dynamics
Description The position is part of a DFG-funded project ‘A mechano-geometric framework to characterize macromolecular ensembles’ at the interface of robotics and structural bioinformatics in collaboration with the Biosciences Division at SLAC National Accelerator Laboratory at Stanford University , and the Department of Bioengineering and Therapeutic Sciences at the University of California, San Francisco , California, USA.

Proteins perform an enormous variety of cellular functions on a broad range of spatio-temporal scales. Experimental and computational advances have increasingly enabled atomically detailed insights into their structure and dynamics. However, the molecular mechanisms of protein function, and how those mechanisms are perturbed by (disease) mutations and ligand interactions remain poorly understood. In this project we will develop and apply efficient robotics-inspired computational methods to resolve and study molecular mechanisms, with a view to redirect protein function. This is a unique opportunity to join a world-class interdisciplinary research team with financial support for frequent travel between FAU and sunny California.

The project focuses on aspects of
● kinematic/geometric modeling of proteins/nucleic acids
● optimized conformational sampling and motion planning/control
● protein design, data-driven modeling, and machine learning
● integrating crystallography, cryo-EM, and other data sources.
● opportunities to gain bench experience

For more information or to apply please contact:
Sigrid Leyendecker (sigrid.leyendecker@fau.de)

Requirements The ideal candidate has obtained a MS degree (PhD preferred) in a quantitative discipline, like engineering, computational (bio-)physics or chemistry, applied mathematics, computer science,
and an interest in structural biology. Proficiency in C++/Python, and fluency in English is required.
Working Language
  • English
  • German
Language of Dissertation
  • English
Required Documents
  • CV
  • Reports, certificates
  • Transcripts
  • Letter of Motivation
  • Research Proposal
  • List of Publication
More Information http://ltd.tf.uni-erlangen.de/PostDoc_Kine-Geo.pdf

Contact

FAU Erlangen-Nürnberg • Department Maschinenbau
Prof. Dr.-Ing. habil. Sigrid Leyendecker
Immerwahrstraße 1
91058 Erlangen

Mail: sigrid.leyendecker@fau.de
Phone: 09131 85 61001
http://ltd.tf.uni-erlangen.de/index.htm