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MCML Center Manager at TUM (f/m/d)
Veröffentlicht am
19.06.2022
Bewerbungsfrist
17.07.2022
Vollzeit-Stelle
Technische Universität München (TUM)
München
MCML Center Manager at TUM
MCML – the Munich Center for Machine Learning – is a joint initiative of leading researchers from LMU and TUM. Goal of the center is to advance foundational research in machine learning with a strong connection to real-world applications. MCML was founded in August 2018 as one of six national competence centers for artificial intelligence in Germany – a permanent research institution funded by the German and the Bavarian State. MCML is an integral part of the German AI Strategy and the Bavarian HighTech Agenda. It now consists of more than 40 excellent research groups both in the field of application-oriented ML and in foundational research.
We are looking for an engaged dynamic personality to join our team as Center Manager with a focus on coordinating and implementing MCML’s activities. TUM’s branch of MCML is located at and embedded in the infrastructure of the Munich Data Science Institute (MDSI) – TUM’s central interface and innovation hub for questions and solutions arising from Data Science, Machine Learning and Artificial Intelligence. The contract will be initially limited to two years.
Key responsibilities:
Management, coordination and implementation of different activities of MCML
Providing strategic and operational structure for MCML’s activities at TUM, such as meetings of the steering and management board. Organization and implementation of various scientific activities and events (exchange and visiting programs, network meetings, etc.)
Reporting to different stakeholders
Fostering the interaction and collaboration with further MCML stakeholders and partners from academia, industry, and politicss
Requirements:
A MSc degree or comparable and a certain affinity for data science, machine learning, and AI. A PhD is desirable
Experience in managing positions at a university or research institution
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
Salary according to TV-L including social benefits
Application:
The position can start immediately and the contract duration is initially limited to two years. 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 July 17, 2022 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 “Application as MCML Center Manager at TUM”).
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
(https://portal.mytum.de/kompass/datenschutz/Bewerbung/). By submitting your application, you confirm that you have taken note of TUM´s data protection information.
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