Munich Data Science Institute (MDSI)
Technische Universität MünchenTUM - Logo
IT Systems Administrator (m/f/d) at Munich Data Science Institute
The Munich Data Science Institute (MDSI) is an integrative research institute at the Technical University of Munich (TUM). It is interdisciplinary and cross-departmental in the fields of data science, machine learning, and artificial intelligence. The institute acts as a facilitator and multiplier of state-of-the-art data science practices, technologies and IT infrastructures for the entire university and combines and bundles all data-related competencies of TUM. Among others, the MDSI deals with activities in the field of research data management (RDM), e.g., shaping the way data is stored, managed, and analyzed in various sciences and application areas.
In the responsible role of the IT Systems Administrator, you will administer high-performance GPU clusters and perform a variety of IT tasks in a cutting-edge, innovative environment. You will have the opportunity to support leading international research groups in the field of machine learning and data science.
Your Responsibilities:
Administration and maintenance of high-performance GPU clusters (incl. user management)
Administration of Linux servers (e.g. Mattermost, database), ensuring network security and user management
Point of contact for all IT infrastructure-related questions, setting up (Windows) computers, and technical onboarding of new employees
Inventory management and procurement of new hardware
Network (and telephone) administration
Requirements:
Completed studies at a university of applied sciences or university (computer science, electrical engineering, or similar) or vocational training in the IT sector (e.g., IT specialist, Fachinformatiker)
Professional experience in the field of server and network administration
Ability to work in a team, communication skills, proficient command of English, spoken and written; German language skills are preferable
Experience with high-performance computing, and in particular, with monitoring SLURM-managed clusters and NVIDIA hardware/software would be an advantage
What we offer:
International, attractive, and interdisciplinary working environment across different departments and units with a high degree of autonomy
Work in a highly sought-after field of research and practice
Opportunity to support software development for research projects in the field of machine learning
Remuneration depending on qualifications up to E11 TV-L (100%) including social benefits
Opportunity for continuous further training, innovation before routine
Attractive flexitime arrangements and a wide range of options for balancing work and family life
How to apply:
The position can be taken up at the earliest possible date and is initially limited to 2 years. As an equal opportunity employer, TUM expressly encourages applications from women and all other persons who can bring additional diversity dimensions to the university's research and teaching strategies. Applicants with severe disabilities will be given preference if they are equally qualified.
If you are interested, please apply by June 22, 2025 with a cover letter (stating the earliest possible starting date), CV and relevant certificates as well as letters of reference by e-mail to application@mdsi.tum.de (please attach as a single PDF file and with the subject IT Systems Administrator).
Contact:
https://www.mdsi.tum.de/
Dr. Marco Barden
E-Mail: marco.barden@tum.de
Technische Universität München
Munich Data Science Institute
Walther-von-Dyck-Straße 10
85748 Garching bei München
As part of your application for a position at the Technical University of Munich (TUM), you will provide us with personal data. Please note ourdata protection information in accordance with Art. 13 of the General Data Protection Regulation (GDPR) on the collection and processing ofpersonal data in the context of your application (https://portal.mytum.de/kompass/datenschutz/Bewerbung/). By submitting your application, you confirm that you have taken note of TUM's data protection information.