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

Updated: 3 months ago
Location: Karlsruhe, BADEN W RTTEMBERG
Deadline: 29 Feb 2024

8 Feb 2024
Job Information
Organisation/Company

Karlsruher Institut für Technologie (KIT)
Research Field

All
Researcher Profile

Recognised Researcher (R2)
Established Researcher (R3)
Country

Germany
Application Deadline

29 Feb 2024 - 22:59 (UTC)
Type of Contract

To be defined
Job Status

Other
Offer Starting Date

7 Feb 2024
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

https://jobs.pse.kit.edu/en/jobs/145843/research-assistant-fmd-for-machine-lear…

Work Location(s)
Number of offers available
1
Company/Institute
Karlsruher Institut für Technologie (KIT)
Country
Germany
City
Karlsruhe
Geofield


Where to apply
E-mail

[email protected]
Website

https://jobs.pse.kit.edu/en/jobs/145843/research-assistant-fmd-for-machine-lear…

Contact
City

Eggenstein-Leopoldshafen
Website

https://www.kit.edu/english/
Street

Kaiserstraße 1276131 KarlsruheCampus Nord:Hermann-von-Helmholtz-Platz 1
Postal Code

76344
E-Mail

[email protected]
Phone

+49 7247 82-0
Fax

+49 7247 82-5070

STATUS: EXPIRED

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