Computational Quantum Chemist

As a Computational Quantum Chemist with Rahko, you will join a small, fast-growing, diverse team with an international profile, working on classical and quantum algorithms for quantum chemistry, machine learning and optimization. You will work closely with machine learning scientists to develop state-of-the-art methods for the prediction of molecular properties.

Location: London, Finsbury Park 
Salary: competitive 
Position type: full-time 
Start date: immediate 

You will have a PhD (or relevant industry experience) in computational chemistry or related discipline. 

Essential skills: 

  • Force Field Calculations and/or Density Functional Theory (DFT), expertise in both application and method development
  • Ability to implement and test new ideas in research code (e.g. Python, C/C++, Fortran)
  • Experience with high performance or cloud computing (execution of chemistry codes)
  • Basic machine learning

Ideally, you will also have:

  • Experience with machine learning in quantum chemistry (e.g. kernel methods) and deep learning (e.g. deep neural networks)
  • Experience with other/advanced methods in quantum chemistry (e.g. QMC, CASSCF, DMET, DMFT, Tensor Networks)

Please send your CV, cover letter and academic transcript to . Rahko is an equal opportunity employer. Candidates from diverse backgrounds are strongly encouraged to apply. 

Due to a high volume of applications, Rahko will only be able to respond to successful applicants.

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