Materials Science Jobs

• Cambridge
• On-site
• Director
• Permanent

A professorial chair in Materials Science and Metallurgy focused on energy materials and materials discovery, with an endowed research fund to build a world-leading group. The role spans experimental, computational or integrated work in automation, computational materials discovery and low-power electronic devices, alongside teaching, supervision and administration. The postholder provides intellectual and strategic leadership and builds interdisciplinary collaborations across the University and with external partners.

• New York, United States
• Hybrid
• US$200,000 – US$300,000 pa
• Director · manages people

Owns chemistry capabilities end to end, setting technical direction and leading a team across capability-building and customer delivery. Couples atomistic and molecular insight into continuum and systems-scale models, spanning DFT, machine learning interatomic potentials, and multiscale simulation for industrial materials and process problems.

DFT

• London
• Hybrid
• Director · manages people

Owns chemistry capabilities end to end, setting technical direction and leading a team across capability-building and customer delivery. Couples atomistic and molecular insight into continuum and systems-scale models, spanning DFT, machine learning interatomic potentials and process simulation for industrial materials problems.

• London
• Hybrid · 3 days in office
• Permanent

Owns the design of scientific data representations, schemas and ingestion pipelines that turn heterogeneous external materials data into ML-ready assets. Works with AI researchers and materials scientists to harmonise experimental and computational data from partners, defining quality, validation, lineage and provenance frameworks.

Pydantic · JSON Schema · pymatgen +7

• Cambridge
• Hybrid · 3 days in office
• Permanent

Trains and evaluates multi-modal foundation models for a materials discovery platform, spanning crystal structures, properties, text and images. Owns a model end to end, from data curation and experiment design through large-scale distributed training to integration, working closely with chemists and materials scientists.

GPUs · SFT · RLHF +1

• London
• £23,805 pa
• Entry level
• Contract

Builds physics-informed surrogate models and process simulations within a Bayesian-optimisation loop, jointly searching design and process parameters with active learning to minimise costly physical builds. Traces manufacturing process to defects to mechanical and electrochemical performance across hand lay-up, AFP and continuous-fibre 3D printing, starting on flat coupons before pushing into curved and cylindrical geometry.

AFP · 3D Printing

• Oxford
• £21,805 pa
• Entry level
• Contract

Develops a mesoscale modelling framework to predict time-dependent deformation and failure of polymer networks, using coarse-grained discrete-network models and statistical mechanics. Focuses on viscoelasticity and chain scission, validated against experimental data and molecular simulations within the Brassart Group.

MATLAB · Python · C/C++