Munich Data Science Institute (MDSI)
Technische Universität München
Data Steward (m/w/d) at the Munich Data Science Institute
The newly established Munich Data Science Institute (MDSI) is an Integrative Research Institute at the Technical University
of Munich (TUM) with an interdisciplinary and cross-faculty focus in the field of data science, and in particular machine learning.
The Institute operates as a facilitator and disseminator of state-of-the-art data science practices, technologies, and IT
infrastructures for the whole university and connects and coalesces all data-related expertise of TUM. As one direction, the
MDSI is engaged in activities of research data management, e.g., shaping the way how data will be stored, managed, and
analyzed across different sciences and application fields.
As a Data Steward, you will be responsible for designing and managing the activities in research data management, specifically
acting as the central contact point to coordinate and establish synergies between the multiple initiatives at TUM (e.g. in the
scope of the NFDI). This also includes building up the TUM Research Data Hub, the MDSI’s joint offer together with the TUM
University Library to support researchers at TUM in all RDM-related questions. Moreover, you will coordinate the institutes'
own data and information practices as well as take over tasks in general project management.
Your responsibility:
- Coordination of research data management activities at the MDSI and TUM
- Preparing documents for best practices, guidelines and communications in data management, data science, data quality
- Collaboration with further partners and projects in the scope of data management, identifying and realizing synergies
between various projects
- Information exchange and networking between different departments and initiatives, data / information service consulting
- Dissemination and communication of expertise on research data management within and outside TUM via various formats
- Project management in a variety of other projects
Requirements:
We are looking for a reliable and collaborative person able to manage a broad range of tasks and responsibilities with
- Master degree or higher preferably in data science / engineering / IT management / studies related to data management
- Work experience in the area of data / information management or related topics (data science, data quality assurance,
experience as data steward, or similar)
- Well-developed research, conceptual and analytical skills, proven experience in project management and / or in consulting
- Strong written and verbal communication skills in English and proven excellent presentation skills with good level of comfort
communicating effectively across internal and external organizations and across hierarchies (German is desirable but not
required)
- Proficiency in providing administrative services, including knowledge in the operation of IT systems and services as well
as operation systems desirable
We offer:
- Full responsibility from the start in an innovative environment and with real impact on the data science ecosystem at TUM
and in Munich
- International, attractive, and interdisciplinary working environment across different departments and disciplines
- Salary according to TV-L (depending on qualification up to E13) including social benefits
- Flexible working hours
Application:
The position can start as early as possible and the contract duration is initially limited to October 31, 2026. As an equal
opportunity and affirmative action employer, TUM explicitly encourages nominations of and applications from women as well
as from all others who would bring additional diversity dimensions to the university’s research and teaching strategies.
Preference will be given to disabled candidates with essentially the same qualifications.
If you are interested, please apply until
August 7, 2024 with a cover letter (stating also your earliest date of entry), CV and
relevant certificates plus reference letters via e-mail to
application@mdsi.tum.de (please attach a single PDF file and use the subject
MDSI Data Steward).
Technische Universität München
Munich Data Science Institute
https://www.mdsi.tum.de/
Sylvia Kortüm
Walther-von-Dyck-Straße 10
85748 Garching bei München
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