The University of Münster is offering a fully funded PhD position in Molecular Machine Learning for Sustainable Chemical Sciences, as part of the EU-funded Marie Skłodowska Curie Doctoral Network (LowDataML). The position is hosted by the Glorius Group, renowned for pioneering research at the intersection of organic chemistry, catalysis, and data science. The research focuses on developing machine learning-driven workflows to optimize synthetic methods, identify underrepresented structural motifs, and accelerate reaction discovery and analysis. The project involves advanced data science techniques, including Bayesian optimization, to improve reaction yields and generality, with experiments conducted using high-throughput screening and chromatographic analysis. The successful candidate will join a collaborative network of 13 academic and industrial organizations, with 14 PhD students working on related topics. The program includes mandatory research stays at the University of Toronto (Canada), University of Lisbon (Portugal), and AstraZeneca (Sweden), providing international exposure and interdisciplinary training. The research environment offers access to state-of-the-art computational and experimental facilities, a strong publication record, and a supportive, diverse community. Applicants must have a Master’s degree in Organic Chemistry, Chemistry, Computer Science, or related fields, with experience in machine learning, molecular dynamics, computational chemistry, and programming (Python, PyTorch, TensorFlow). Strong English communication skills and the ability to work in an international team are essential. Eligibility criteria include being within four years of obtaining a Master’s degree, not having resided in Germany for more than 12 months in the past three years, and not holding a doctoral degree. The position offers a competitive salary (E 13 TV-L), mobility and family allowances, and additional public sector benefits such as pension schemes and annual bonuses. The University of Münster provides a family-friendly work environment, equal opportunity policies, and support for professional development and work-life balance. The structured 36-month PhD training program includes workshops, summer schools, transferable skills courses, and international secondments. Applications are open until January 15, 2026. Interested candidates should prepare a single PDF file with a statement of research interests and relevant documents, and apply via email as detailed in the official job posting. For more information, visit the provided links.