We offer a three-year position in the Theory Department of the Fritz Haber Institute in Berlin, Germany. You will be working with Prof. Dr. Matthias Scheffler, the departments director, and Dr. Matthias Rupp, the leader of the newly established research group "Machine Learning for Materials".

This is an opportunity to be on the forefront of development for models that combine quantum mechanical materials science with machine learning. This research direction is rapidly gaining interest and momentum, and offers the opportunities of a young field. Work will start from the Novel Materials Discovery Repository (NoMaD). Based on this, the researcher will be involved in the design, development and application of state-of-the-art machine learning models for properties and functions of molecules and materials.

Ideal candidates will have a background in physics and computer science, in particular solid knowledge in condensed matter physics and kernel-based machine learning, an excellent track record of relevant scientific publications, and sound programming skills in C, C++ or Fortran, as well as Python or Mathematica.

Further information: 

• Theory Department, Fritz Haber Institute of the Max Planck Society
  http://th.fhi-berlin.mpg.de
• NoMaD data repository
  http://nomad-repository.eu
• Exemplary publications:
  Rupp et al, Phys Rev Lett 108: 058301, 2012. DOI 10.1103/PhysRevLett.108.058301
  Rupp et al, submitted. http://arxiv.org/abs/1505.00350
  Ghiringhelli et al, Phys Rev Lett 114: 105503, 2015. DOI 10.1103/PhysRevLett.114.105503
• Recently organized workshop on machine learning in quantum mechanics
  http://th.fhi-berlin.mpg.de/meetings/QMML15

Interested candidates should contact Matthias Rupp directly (matthias.rupp at fhi-berlin.mpg.de).