Student or Scientific Assistant (m/f/d) at the Munich Data Science Institute

07.04.2025, Wissenschaftliches Personal

Are you passionate about data science and looking for an opportunity to gain hands-on experience while studying? The Munich Data Science Institute (MDSI) is seeking a motivated and enthusiastic Student/Scientific Assistant to join our dynamic team!

The Munich Data Science Institute (MDSI) is an integrative research institute at TUM helping researchers in data science, machine learning, and AI across the university cooperate and network, offering related training and services, and reaching out to the public.

Your Responsibilities

1. Develop and maintain the contents of our website
2. Support our outreach team
3. Maintain and develop our MySQL database
4. Communicate with doctoral researchers and our core members
5. Perform administrative duties as needed

1. Interest in data science and data management
2. Currently enrolled in a university study program, preferably in data science, computer science, statistics, or a related field (from semester 3)
3. Very good Microsoft Office as well as CMS (TYPO3) skills
4. Programming experience (ideally VBA/SQL)
5. Excellent communication skills in English (German is a plus) and teamwork abilities
6. Reliable and collaborative personality
7. Ability to work independently and precisely while effectively managing your time

1. Hands-on experience in managing cutting-edge data science-related projects
2. Opportunity to connect with experts in the field
3. Flexible working hours to accommodate your study schedule, 8-10 hours per week
4. International, attractive, and interdisciplinary working environment across different departments and disciplines

Please send your CV and a brief cover letter explaining your interest in the position to application@mdsi.tum.de by April 30, 2025 (please use the subject MDSI Student/Scientific Assistant). Join us at MDSI, we look forward to receiving your application!

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.

Die Stelle ist für die Besetzung mit schwerbehinderten Menschen geeignet. Schwerbehinderte Bewerberinnen und Bewerber werden bei ansonsten im wesentlichen gleicher Eignung, Befähigung und fachlicher Leistung bevorzugt eingestellt.

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