cuspai - Internship - MLFF Distillation & GCMC Integration
Requirements
• Currently enrolled in (or recently completed) a PhD or Master's programme in a relevant quantitative field (Physics, Chemistry, Chemical Engineering, Computational Science, Machine Learning, or similar). • Experience in adsorption modelling at the atomic scale. • Hands-on experience with molecular simulation methods (GCMC, MD, or both). • Comfortable working on Linux environments and managing simulation campaigns at scale. • A genuine interest in the application of ML to chemistry and materials science. • Familiarity with modern MLFFs. • Experience with knowledge distillation or other model compression techniques for scientific ML. • Experience with active learning workflows for atomistic data. • Familiarity with DFT data generation and the practicalities of curating atomistic datasets. • Direct experience with established simulation packages. • Background in gas adsorption, MOFs, or porous materials. • Familiarity with classical force fields used in MOF simulation. • A track record of published research at top-tier ML or computational chemistry venues.
Responsibilities
• Distill MLFFs into fast student potentials optimised for Monte Carlo simulations. • Curate, version, and document training and validation datasets, including the distillation protocol and any active-learning loops used to close coverage gaps. • Integration & Validation • Run head-to-head validation campaigns comparing the distilled MLFF against classical force-field baselines across a curated set of guest molecules, characterising accuracy, throughput, and failure modes. • Systems & Infrastructure • Profile and optimise the pipeline for throughput, with particular focus on the MC inner loop where MLFF inference cost dominates. • Benchmark accuracy/speed trade-offs systematically and document where the distilled model fails. • Science & Collaboration • Collaborate with computational chemists on reference data generation, benchmark system selection, and validation strategy. • Contribute to a publication establishing MLFF-driven GCMC for MOF screening.
Benefits
• A competitive salary: We value and reward impact and growth • Equity in CuspAI: You have a stake in the success of the company • Time off to stay fresh: 28 days holiday (DE, NL, UK) or 21 days holiday (JP, SG, US), in addition to local public holidays • ‘Gold Standard’ parental leave: 26 weeks (primary caregiver) and 12 weeks (secondary caregiver) at full pay - we look after you and your family while we work on the most important materials discovery problems together • Professional development budget: We invest in your career development so you can stay up to date with the latest industry knowledge or add to your skills to increase impact and growth • Solve meaningful problems: See how your work has a direct impact on advancing materials science and solving sustainability and climate-related problems through the creation and application of bleeding-edge SOTA technology and revolutionary techniques • True interdisciplinary teamwork: Be part of a deeply collaborative environment bridging AI research, computational chemistry, and experimental science - work with world-class researchers and engineers who enjoy sharing knowledge and supporting each other • CuspAI is an equal opportunities employer committed to building a diverse and inclusive workplace. We do not discriminate on the basis of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding), veteran status, or any other basis protected by applicable law. • We actively encourage applications from all backgrounds and value the unique perspectives and contributions that diversity brings to our team. • Please let us know if you require any specific adjustments during or after the interview process. We will do everything we can within reason to accommodate.
Apply in one click
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT