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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. Preference will be given to
disabled candidates with essentially the same qualifications.
Data Protection Information:
As part of your application for a position at the Technical University of Munich (TUM), you transmit personal
data. Please note our data protection information in accordance with Art.13 General Data Protection
Regulation (GDPR) on the collection and processing of personal data in the context of your application. By
submitting your application, you confirm that you acknowledge TUM´s data protection information.
Technische Universität München, Munich Data Science Institute (MDSI), Sylvia Kortüm
Walther-von-Dyck-Straße 10, 85748 Garching bei München, www.mdsi.tum.de, www.tum.de

The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance.

Data Protection Information:
When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of the Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM.

Kontakt: application@mdsi.tum.de