Cambridge Internship Opportunities: Research Intern

· Contribute to a high-impact research agenda within the context of a highly collaborative research culture alongside a team of experts in machine learning and natural sciences.

· Write research code to test new approaches or develop novel insights for machine learning in the natural sciences, particularly retrosynthesis and drug discovery.

· Communicate research findings to an interdisciplinary research team.

· Prepare technical papers, presentations, and open-source releases of research code.

· Research experience in deep learning, demonstrated for example through research in a related PhD program and/or publications in ML conferences or scientific journals.

· Hands-on experience with Python and a modern deep learning framework.

Other Requirements:

· Ability to physically work from Microsoft Research Cambridge (UK) for the duration of the internship.

Preferred/Additional Qualifications:

· Published work in the broader field of AI for Science.

· Practical experience with handling molecular data and geometric deep learning.

· Good engineering skills, including familiarity with Git, code reviews, and testing/CI.

· Familiarity with graph algorithms and data structures.

· Effective communication skills, especially scientific writing.

· Desire to tackle real-world problems, and contribute to projects with scope larger than a typical academic publication.

· Chemistry knowledge is a plus, but not required.