Research Associate (Doctoral Candidate) - Molecular Machine Learning | Wissenschaftliche*r Mitarbeiter*in (Doktorand*in) (25353)
Bergische Universität Wuppertal
Job Summary
This role is a full-time, fixed-term Research Associate position serving as a Doctoral Candidate at the University of Wuppertal, focusing on the intersection of Computer Science and Mathematics within the field of Molecular Machine Learning. The successful candidate will work on developing novel machine learning methods, specifically regression models for bi-molecular properties, as part of the DFG priority program "Molecular Machine Learning." Day-to-day tasks include interdisciplinary research, collaborating within an international team focused on uncertainty quantification and high-performance computing, and contributing to teaching (4 hours per week) and supervising student theses. This is an attractive opportunity for highly analytical individuals with strong programming skills (Python/C/C++) and a Master's degree in a relevant scientific discipline, offering a direct path to a PhD within a cutting-edge research environment.
Required Skills
Education
Master's degree or equivalent in a relevant discipline (e.g., Computer Science, Mathematics, Physics, Data Science)
Experience
- Professional experience in machine learning and/or numerical mathematics
- Interest in developing novel bivariate machine learning procedures for molecular properties
- Successful completion of a scientific programming task relevant to the position (mandatory)
Languages
Additional
- The position is designed to promote a doctoral procedure (PhD). The applicant must submit the mandatory results of a scientific programming task as part of the application process.
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