Vacancy No. 57/2024

Research Assistant (f/m/d) for Machine Learning in Materials Science

Job description

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.

Personal qualification

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.

Organizational unit

Institute of Nanotechnology (INT)

Starting date


Contract duration

1 year

Application up to


Contact person in line-management

Fachliche Auskünfte erteilt Ihnen gerne Herr Dr.-Ing. Arnd Koeppe (


Please apply online using the button below for this vacancy number 57/2024 .
Personnel Support is provided by 

Ms König
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.