PhD Opportunity at the QTCOVI Group

A four-year Ph.D. position is open in the Theoretical and Computational Chemistry group (QTCOVI) at the University of Oviedo under the supervision of Prof. Ángel Martín Pendás, in the field of Chemical Machine Learning. The project aims to develop groundbreaking methodologies in theoretical and computational chemistry by integrating Quantum Chemical Topology (QCT) and Chemical Machine Learning (CML). The research will focus on creating interpretable and transferable models to overcome the limitations of current «black box» AI models in chemistry. The selected candidate will contribute to developing a novel database of local quantum mechanical properties (AIM4ML) and designing new AI architectures for QCT.