Science Manager (m/w/d) at the MDSI (Munich Data Science Institute)

85748 Garching
02.12.2020

Daten dieser Anzeige

Job-ID: 7004481736-010-1__1
Science Manager (m/w/d) at the MDSI (Munich Data Science Institute)

Technische Universität München

Dr. Ana Santos

Walther-von-Dyck. Str. 4,

85748 Garching

Deutschland

Santos@zv.tum.de

Tel: *

Munich Data Science InstituteTechnische Universität MünchenScience Manager (m/w/d) at the MDSI (Munich Data Science Institute)The Munich Data Science Institute is an integrative research center at the Technical University of Munich(TUM) that carries out research, teaching and promotion of young talents with an interdisciplinary and crossfacultyfocus on the field of data science and in particular machine learning. Recently ELLIS Munich, theMunich unit of the European Lab for Learning and Intelligent Systems (ELLIS), has been set up and we arelooking for an engaged dynamic personality to join our team having as main focus of activity thecoordination and implementation of ELLIS activities at our Institute. The contract will be initially limited totwo years.Key responsibilities: Management, coordination and implementation of different activities around further set-up and extension of theELLIS Unit Munich Providing strategic and operational structure for ELLIS activities at TUM, such as meetings of the steering andmanagement board. Organisation and implementation of various scientific activities and events (exchange andvisiting programs, network meetings, etc.) Contribution to third-party funding proposals and reporting, including the ELLIS network and the MDSI as a whole Fostering the interaction and collaboration with further ELLIS stakeholders such as the Helmholtz Center Munichand other Universities, coordinating communication and joint initiatives Support of activities related to the Munich Center for Machine Learning and other MDSI related activitiesRequirements: A Master University degree in engineering, natural- or computer science. Machine learning background and aPhD are desirable Experience in science management in an university or research institution A reliable, collaborative, creative and with own initiative approach to work Strong analytical and critical thinking skills and the ability to manage a broad range of tasks and responsibilities Strong written, verbal communication and presentation skills in both English and German with high level of comfortcommunicating effectively across internal and external organizations and across hierarchies Very good user knowledge of MS-Office applications; experience with project management software and CMSare desirableWe offer: Full responsibility from the start in an innovative environment and with real impact at the forefront of science andtechnology Opportunity to advance the data science and machine learning ecosystem at TUM and in Munich and extend theinternational network of collaborations in these fields Highly dynamic and networked working environment with inspiring talents and leaders, renowned experts andresearchersThe position is initially limited to two years. Employment and remuneration is in accordance to TV-L 13. As an equalopportunity and affirmative action employer, TUM explicitly encourages nominations of and applications from womenas well as from all others who would bring additional diversity dimensions to the universitys research and teachingstrategies. Preference will be given to disabled candidates with essentially the same qualifications. Place ofemployment is Garching bei München.Contact:Please apply with a cover letter stating the earliest date of entry, CV and relevant certificates/reference letterspreferably per Mail (Santos@zv.tum.de) as one pdf file by 02.12.2020 to Dr. Ana Santos, Managing Director, MunichData Science Institute, Walther-von-Dyck. Str. 4, 85748 Garching bei MünchenAs part of your application for a position at the Technical University of Munich (TUM), you are transmitting personaldata. Please note our data protection information in accordance to Art.13 General Data Protection Regulation(GDPR) for the collection and processing of personal data in the context of your application. By submitting yourapplication, you confirm that you have taken note of TUM´s data protection information.

Munich Data Science Institute Technische Universität München Science Manager (m/w/d) at the MDSI (Munich Data Science Institute) The Munich Data Science Institute is an integrative research center at the Technical University of Munich (TUM) that carries out research, teaching and promotion of young talents with an interdisciplinary and crossfaculty focus on the field of data science and in particular machine learning. Recently ELLIS Munich, the Munich unit of the European Lab for Learning and Intelligent Systems (ELLIS), has been set up and we are looking for an engaged dynamic personality to join our team having as main focus of activity the coordination and implementation of ELLIS activities at our Institute. The contract will be initially limited to two years. Key responsibilities: Management, coordination and implementation of different activities around further set-up and extension of the ELLIS Unit Munich Providing strategic and operational structure for ELLIS activities at TUM, such as meetings of the steering and management board. Organisation and implementation of various scientific activities and events (exchange and visiting programs, network meetings, etc.) Contribution to third-party funding proposals and reporting, including the ELLIS network and the MDSI as a whole Fostering the interaction and collaboration with further ELLIS stakeholders such as the Helmholtz Center Munich and other Universities, coordinating communication and joint initiatives Support of activities related to the Munich Center for Machine Learning and other MDSI related activities Requirements: A Master University degree in engineering, natural- or computer science. Machine learning background and a PhD are desirable Experience in science management in an university or research institution A reliable, collaborative, creative and with own initiative approach to work Strong analytical and critical thinking skills and the ability to manage a broad range of tasks and responsibilities Strong written, verbal communication and presentation skills in both English and German with high level of comfort communicating effectively across internal and external organizations and across hierarchies Very good user knowledge of MS-Office applications; experience with project management software and CMS are desirable We offer: Full responsibility from the start in an innovative environment and with real impact at the forefront of science and technology Opportunity to advance the data science and machine learning ecosystem at TUM and in Munich and extend the international network of collaborations in these fields Highly dynamic and networked working environment with inspiring talents and leaders, renowned experts and researchers The position is initially limited to two years. Employment and remuneration is in accordance to TV-L 13. 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. Place of employment is Garching bei München. Contact: Please apply with a cover letter stating the earliest date of entry, CV and relevant certificates/reference letters preferably per Mail Santos@zv.tum.de) as one pdf file by 02.12.2020 to Dr. Ana Santos, Managing Director, Munich Data Science Institute, Walther-von-Dyck. Str. 4, 85748 Garching bei München As part of your application for a position at the Technical University of Munich (TUM), you are transmitting personal data. Please note our data protection information in accordance to Art.13 General Data Protection Regulation (GDPR) for the collection and processing of personal data in the context of your application. By submitting your application, you confirm that you have taken note of TUM´s data protection information.

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85748 Garching