Location: London, Finsbury Park 

Salary: competitive 

Position type: full-time 

Start date: immediate 

Rahko is a quantum machine learning software company that focuses on quantum and quantum-inspired algorithms for quantum chemistry. The company harnesses a synergy between classical computational methods, more recent machine/deep learning methods, and quantum computing to improve the speed and accuracy of quantum chemistry simulations, which are used in a number of industries ranging from pharmaceuticals to electronics. 

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.

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

Essential skills: 

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

Ideally, you will also have: 

1. Experience with machine learning in quantum chemistry (e.g. kernel methods) and deep learning (e.g. deep neural networks)
2. 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 [email protected] . Rahko is an equal opportunity employer. Candidates from diverse backgrounds are strongly encouraged to apply. 

Due to a high volume of applications, we will only be able to contact successful applicants.