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| Job Location | North London |
| Education | Not Mentioned |
| Salary | Competitive salary |
| Industry | Not Mentioned |
| Functional Area | Not Mentioned |
| Job Type | Permanent, full-time |
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 development2. 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 learningIdeally, 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)Start date: Immediate startPlease submit your CV, cover letter and academic transcript. 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.Thank you and we look forward to hearing from you! Required skills
Keyskills :
Computational Chemistry Machine Learning Quantum Chemistry