Postdoc in ML for Strongly Correlated Electronic matter @ École Polytechnique

I’m looking for one postdoc in Quantum/Condensed Matter Numerical Physics to join our group between École Polytechnique, INRIA Saclay and College de France.

The position is to work on Variational Monte Carlo / Neural Quantum States methods and apply them to (preferentially) electronic structure problems (Hubbard Model, Quantum chemistry…), ideally by leveraging foundation models. Both candidates that wish to work on the methodological aspect or on the applications are welcome.

I usually welcome candidates with compatible ideas for research projects, but for this position the candidate must work on NQS or ML applications to some Quantum Mechanical problem.

Candidates with a strong experience in machine learning AND/OR numerical methods for electronic structure AND/OR Variational Monte Carlo will be given priority.
Similarly, candidates knowledgeable in quantum information/tensor networks or some interesting intersections of quantum information and Machine Learning will be considered.

As a postdoc you will have to actively co-supervise one PhD student, so if you do not like working with students, you will not be a good fit.

The group currently encompasses 4 PhD students, 2 postdocs (of whom one working on Tensor Networks/Quantum Information, the other who will be leaving soon). A third postdoc will join the group at a later date.

If you think you would be a good match, do not hesitate to contact me. Please send a cv and a short commntary of your research and what you’d like to do and I will get back to you.

Starting date: as soon as possible.

Working position: You will be employed by École Polytechnique, Palaiseau, but you join an interdisciplinary team therefore will be affiliated with INRIA Saclay and College de France. We spend 2 days/week in École Polytechnique and 3 days/week at College de France.

Salary: around 3.3k/month gross for junior postdocs (<2 years since PhD) or 4.3k/month gross for senior postdocs (>= 2 years). Net salary is approximately 82% of gross.