Postdoctoral Researcher in the Areas of Deep Learning for Molecular Simulation

Responsibilities

• Contribute to and drive an ambitious, high-impact, research agenda development of machine-learning systems for generating molecular configurations and molecular coarse-graining or quantum Chemistry within the context of a highly collaborative research culture.
• Develop and test out new ideas within existing or new collaborations within a project or the wider research group.
• Write research code to test new approaches or develop novel theoretical and practical insights.
• Prepare technical papers and presentations.

Qualifications

• Experience in self-directed research in machine learning, ideally applied to the domain of molecular sciences, demonstrated by a completed PhD.
• Specialization in either (i) Machine Learning / Deep Learning with or (ii) in an application domain such as Statistical Mechanics or quantum Chemistry, and at least basic knowledge in the respective other area.
  • A research program demonstrated by publications in relevant top-tier publication venues in the candidates field (e.g., conferences such as NeurIPS, ICML, ICLR or journals such as JCP, JCTC, PRL, JACS, Nat. Chem. etc).
• Experience with Python and deep learning frameworks (PyTorch, JAX or TensorFlow). Additional experience with C, C++, CUDA, Scala, Fortran etc. is advantageous.
• Deep understanding of state-of-the-art deep learning approaches for molecules. Preferably in-depth experience with molecular dynamics and/or quantum chemistry methods.
  • Hands-on experience in implementing and evaluating machine learning approaches for molecular problems.
  • Passion to see research have real-world impact on key challenges for society.
• Innovative thinker who should be able to take initiative but can also follow a research plan and work well as part of a multi-disciplinary, global team.
  • Highly effective written and verbal communication skills, fluent in English.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

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