Vacancy No. 57/2024
Research Assistant (f/m/d) for Machine Learning in Materials Science
Its task includes the development of machine learning methods for materials science issues using data-integrative approaches. The applications are mainly related to battery systems in connection with the Cluster of Excellence POLiS. For this purpose, you will create workflows in the ecosystem of the Kadi4Mat data platform and extend them with nodes for machine learning and artificial intelligence.
Further tasks include the implementation of machine learning methods and contributing to the development of the software solutions CIDS, KadiAI, and Kadi. The results of the work are shared within the institute, presented at conferences and published in scientific journals and repositories.
Completed university degree in a mathematical, engineering, natural science, or data science discipline. Experience in machine learning (especially deep or reinforcement learning) and programming skills in Python (especially PyTorch or Tensorflow) are mandatory.
In addition to the scientific activity, there is the possibility of a PhD.
Salary category 13, depending on the fulfillment of professional and personal requirements.
Institute of Nanotechnology (INT)
Application up to
Contact person in line-management
Fachliche Auskünfte erteilt Ihnen gerne Herr Dr.-Ing. Arnd Koeppe (firstname.lastname@example.org)
Please apply online using the button below for this vacancy number 57/2024 .
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phone: +49 721 608-25011,
Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany
We prefer to balance the number of employees (f/m/d). Therefore we kindly ask female applicants to apply for this job.
Recognized severely disabled persons will be preferred if they are equally qualified.