One part-time Researcher for machine learning within CytoTransport research area

Overview

Discovering new things, driving projects forward, taking responsibility: At Bonn-Rhein-Sieg University of Applied Sciences (H-BRS), we count on employees who do just that. Together with our approximately 1,000 colleagues, we find new solutions to help find suitable answers to the diverse challenges of our time. We do this so that H-BRS, with its more than 9,000 students from more than 100 nations who are currently studying on 40 degree programs, can become even better. Do you accept the challenge?

The German Research Foundation (DFG) is funding our research cluster \“CytoTransport – Mechanisms and Modulation of Cellular Transport Processes\“ (Research Impulse 26/1). The 5 years period started on April 1st, 2024. Our project combines expertise in biomedicine, computational modeling, structural biology, chemistry and materials science for investigating cellular transport mechanisms in human health and diseases. Nine research groups in the two research institutes IFGA (Institute for Functional Gene Analytics) and TREE (Institute for Technology, Resource and Energy-efficient Engineering) are working together towards that goal. Detailed information on the research cluster’s objectives and the individual projects can be found at: https://www.h-brs.de/en/cytotransport.

We are looking for the following employee (d/f/m) to join our \“CytoTransport\“ team as soon as possible in our Department of Computer Science on Campus Sankt Augustin.

One part-time Researcher for machine learning within CytoTransport research area (d/f/m)

Your tasks:

• will contribute to research and development work in the DFG-funded research cluster “CytoTransport – Mechanisms and Modulation of Cellular Transport Processes.”
• will develop and implement machine learning models to support protein modeling and generate plausible conformational ensembles for molecules.
• will implement existing machine learning models for tasks such as homology modeling, small-molecule docking, or similar problems.
• will be responsible for evaluating and presenting research results at national and international conferences, and for publishing them in scientific journals.

Our expectations:

• hold a completed Master’s degree or ideally a PhD in a) Computer Science with a strong natural science background, b) Computational Chemistry, or c) related fields.
• have experience in developing, implementing, and interpreting machine-learning models with scientific data.
• have experience in multisolution optimization algorithms.
• have experience drafting manuscripts for peer-reviewed journals.
• bring solid Python skills with scientific methodologies.
• have experience in data analysis (e.g. statistics, visualization) with Python and Jupyter-notebooks, and have good spoken and written English language skills (minimum at a B2 level).

What we offer:

We as employers

• offer exciting, varied work in an innovative environment, part-time (19 hours and 55 minutes weekly), remunerated according to your qualifications up to salary group 13 TV-L. We offer the position for your scientific qualification with a contract term until November 30th, 2027. The scientific qualification orientates to your personal conditions and your own qualification aim.
• are family focused and offer flexible working hours and childcare facilities.
• facilitate advanced training and continuing education for professional and personal development.
• provide a library and a cafeteria.
• value the liveable Rhineland area as an optimum environment for higher education – distinguished by unique local advantages such as the cathedral city of Cologne, the cosmopolitan city of Bonn, and the unspoiled countryside of the Eifel, Siebengebirge and Rhine districts.

We want to have more female academics/employees at our university and are therefore especially pleased to receive applications from women. In cases of equal qualification, female candidates will be given preference. Applicants with children are warmly welcomed. H-BRS is certified family-friendly – and proud of it. People with severe disabilities are an integral part of our university, and are given preference in the application procedure provided they are equally well qualified.

If you have any questions, please contact the supervisor of the position, Dr. Karl Kirschner via +49 2241 865 267 or karl.kirschner@h-brs.de. Questions to the topics equality and family friendly Hochschule can be answered by the equality commissary Dr. Barbara Hillen-Haas via +49 2241 865 268.

Become part of Bonn-Rhein-Sieg University of Applied Sciences (H-BRS) and use our online form to send us your application by September 16th (Reference 57/25).

Job interviews are scheduled for September 17.

https://www.h-brs.de/en/karriere-an-der-h-brs