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Senior Research Software Engineer - AI for Science at Microsoft

Berlin, England, Germany -

Full Time

Start Date

Immediate

Expiry Date

14 Jan, 26

Salary

0.0

Posted On

16 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Deep Learning, Scientific Modelling, Density Functional Theory, GPU Acceleration, Numerical Algorithms, Predictive Modelling, Materials Science, Catalysis, Software Frameworks, Research, Energy Predictions, Drug Discovery, Chemical Reactions, Carbon Capture, Flow Batteries, Performance Optimization

Industry

Software Development

Description

At Microsoft Research AI for Science [https://www.microsoft.com/en-us/research/lab/microsoft-research-ai-for-science/] we believe deep learning has the potential to transform scientific modelling and discovery crucial for solving the most pressing problems facing society, including sustainable materials and discovery of new drugs. We seek a highly motivated research software engineer to join our density functional theory (DFT) team (What is DFT? [https://www.microsoft.com/en-us/research/project/dft/learn-about-dft/]). The mission of the team is to enable highly accurate and scalable predictions of the energy and density of electrons in molecules and materials with deep learning powered DFT. Accurately computing the electron energy is essential for predictive modelling of laboratory experiments across a broad spectrum of applications, including assessing whether a chemical reaction will proceed, whether a candidate drug molecule will bind to its target protein, whether a material is suitable for carbon capture, or if a flow battery can be optimized for renewable energy storage. By advancing the capabilities of deep-learning-based DFT simulations through state-of-the-art numerical algorithms, GPU acceleration and integration of our models in highly performant DFT software frameworks, you will help unlock new frontiers in materials science, catalysis, and beyond. Learn more about our work on accurate and scalable DFT in our blog [https://www.microsoft.com/en-us/research/blog/breaking-bonds-breaking-ground-advancing-the-accuracy-of-computational-chemistry-with-deep-learning/] and our project website [https://www.microsoft.com/en-us/research/project/dft/learn-about-dft/]. This post will be open until the position is filled.

Responsibilities

The role involves advancing deep-learning-based density functional theory simulations through state-of-the-art numerical algorithms and GPU acceleration. You will contribute to enabling accurate predictions of electron energy and density in molecules and materials.