CuspAI
Application Scientist
Cambridge, UK +3 · Hybrid · Full-time · Posted Oct 22, 2026
- Location
- Cambridge, UK
Amsterdam, NL
London, UK
Berlin, DE - Education
- PhD in chemistry, materials science, physics, chemical engineering, or a related field, or equivalent industry experience.
About the job
Own scientific delivery of partner materials-science projects, applying CuspAI’s platform and translating between partner, experimental, computational, and machine-learning teams.
What you'll do
- Lead partner projects from scoping through delivery, including technical scopes, reports, and presentations.
- Apply simulation, machine learning, optimisation, or experiments to partner problems; design and steer discovery campaigns and validate results.
- Build reliable workflows and data pipelines, translate between lab and platform teams, and feed partner feedback into product development.
What they ask for
- PhD in chemistry, materials science, physics, chemical engineering, or a related field, or equivalent industry experience.
- Hands-on expertise in at least one of atomistic simulation, experimental materials or chemistry, or materials/cheminformatics with machine learning and optimisation.
- Track record in one or more stated application areas.
- Python skills and familiarity with Git.
Nice to have
- Industry experience in semiconductor, electronics, energy, or chemical sectors.
- Experience leading external projects or collaborations, including technical scopes or proposals.
Tools
Python, Git
AI focus
Apply machine learning and AI-enabled materials discovery, including agentic and closed-loop design campaigns; assess and validate models and simulations against experiments.
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