Senior Software Developer - Molecular Machine Learning

Looking for a dynamic and research-oriented opportunity?

Software in Data-intensive Applications

Job Description:

• We are seeking an enthusiastic individual to join our interdisciplinary team working at the interface of computer science and mathematics.


• Your primary role will be to develop novel machine learning methods for modeling molecular properties, particularly regression models for bi-molecular properties.


• You will collaborate with international colleagues on related research questions in machine learning, uncertainty quantification, and high-performance computing with applications in the natural and engineering sciences.


• In addition to your technical expertise, you will contribute to teaching responsibilities (equivalent to 4 contact hours per week) and supervise student research projects.

Required Skills & Qualifications:

1. A completed academic university degree (Master's or equivalent) in a relevant discipline (e.g., computer science, mathematics, physics).
2. Strong analytical skills in the context of machine learning and/or numerical mathematics.
3. An excellent knowledge of programming languages such as Python or C/C++ is essential.
4. You should have an interest in developing novel bivariate methods within a relevant interdisciplinary application. Ideally experience with multipole methods low-rank approximations would also benefit this position。