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:
· Develop and maintain the contents of our website
· Support our outreach team
· Maintain and develop our MySQL database
· Communicate with doctoral researchers and our core members
· Perform administrative duties as needed
Requirements:
· Interest in data science and data management
· Currently enrolled in a university study program, preferably in data science, computer science, statistics, or a related field (from semester 3)
· Very good Microsoft Office as well as CMS (TYPO3) skills
· Programming experience (ideally VBA/SQL)
· Excellent communication skills in English (German is a plus) and teamwork abilities
· Reliable and collaborative personality
· Ability to work independently and precise while effectively managing your time
We offer:
· Hands-on experience in managing cutting-edge data science-related projects
· Opportunity to connect with experts in the field
· Flexible working hours to accommodate your study schedule, 8-10 hours per week
· International, attractive, and interdisciplinary working environment across different departments and disciplines
Application:
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.
Sylvia Kortüm
E-Mail: sylvia.kortuem@tum.de
Technische Universität München
Munich Data Science Institute
Walther-von-Dyck-Straße 10
85748 Garching bei München
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Hinweis zum Datenschutz:
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Kontakt: application@mdsi.tum.de