Jobs

CuspAI is seeking a 3-month intern to develop and integrate fast, accurate machine learning force fields (MLFFs) for high-throughput Monte Carlo simulations. This role, embedded within the chemistry team, will focus on distilling state-of-the-art models into lightweight potentials and integrating them into CuspAI's in-house simulation framework, kUPS. The intern's work will significantly expand the computational capabilities for evaluating next-generation MOFs and contribute to a publication on MLFF-driven GCMC. Candidates should be pursuing a PhD or Master's in a quantitative field with experience in atomic-scale adsorption modeling and molecular simulation methods.