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Ph.D. Position in Data-Driven Chemistry (65% TV-L E13, 3 years)

(subject to final funding approval)

At the Data-Driven Chemistry research group (Prof. Jonny Proppe), located within the Institute of Physical and Theoretical Chemistry at TU Braunschweig, we are inviting applications for a position as a Ph.D. student (wissenschaftliche:r Mitarbeiter:in) to join our team for a fixed term of three years.

Our group develops and applies data-driven methods to efficiently predict, understand, and design molecules and their reactions—with a focus on carbon dioxide and active pharmaceutical ingredients. Depending on the background and interests of the successful candidate, the research project will be aligned with one of our current focus areas, which include:

• Reaction prediction (quantum chemistry + machine learning)
• Drug discovery (cheminformatics + machine learning)
• Method development in machine learning

The position also includes contributions to teaching within the Insitute of Physical and Theoretical Chemistry at TU Braunschweig.

Your profile:

• Master’s degree (or equivalent) in chemistry, pharmacy, or a related discipline
• Solid background in theoretical/computational chemistry
• Programming and data-science experience is an asset
• TU Braunschweig is committed to equal opportunity and diversity. Applications from women and members of underrepresented groups are particularly encouraged. In the case of equal qualification, applicants with disabilities will be given preferential consideration (please enclose proof of disability).

If you are interested, please send your application documents (CV, transcript, brief motivation) by email to Prof. Jonny Proppe at j.proppe@tu-braunschweig.de.