Job Information
- Organisation/Company
- Karlsruher Institut für Technologie (KIT)
- Research Field
- All
- Researcher Profile
- Recognised Researcher (R2)Established Researcher (R3)
- Country
- Germany
- Application Deadline
- Type of Contract
- To be defined
- Job Status
- Other
- Offer Starting Date
- Is the job funded through the EU Research Framework Programme?
- Not funded by an EU programme
- Is the Job related to staff position within a Research Infrastructure?
- No
Offer Description
Area of research:
Scientific / postdoctoral posts
Starting date:
07.02.2024
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.
This research center is part of the Helmholtz Association of German Research Centers. With more than 42,000 employees and an annual budget of over € 5 billion, the Helmholtz Association is Germany's largest scientific organisation.
Requirements
Additional Information
- Website for additional job details
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- Karlsruher Institut für Technologie (KIT)
- Country
- Germany
- City
- Karlsruhe
- Geofield
Where to apply
- jobportal@careerservice.kit.edu
- Website
Contact
- City
- Eggenstein-Leopoldshafen
- Website
- Street
- Kaiserstraße 1276131 KarlsruheCampus Nord:Hermann-von-Helmholtz-Platz 1
- Postal Code
- 76344
- info@kit.edu
- Phone
- +49 7247 82-0
- Fax
- +49 7247 82-5070