The Technical University of Darmstadt, with its Unit of the European Laboratory for Learning and Intelligent Systems (ELLIS, ellis.eu) and the closely linked Konrad Zuse School of Excellence in Learning and Intelligent Systems (ELIZA), is looking to fill a position as

Scientific Coordinator (all genders) for ELLIS (50%) and ELIZA (50%)

to coordinate and implement a broad range of ELLIS-related activities at TU Darmstadt. The contract will initially be time limited until 31.12.2027. The position is classified according to pay group 14 of the TU Darmstadt collective agreement (TV-TU Darmstadt).

The European Laboratory for Learning and Intelligent Systems (ELLIS) is a diverse European network that promotes research excellence and advances breakthroughs in AI by bringing together Europe’s top researchers in modern AI to strengthen scientific excellence and boost economic growth in Europe by leveraging AI technologies. The Darmstadt Unit in the ELLIS network connects the research, educational, and transfer activities at TU Darmstadt to ELLIS.

The Konrad Zuse School of Excellence in Learning and Intelligent Systems (ELIZA) builds directly upon ELLIS and its leading academic network for machine learning-focused AI. Funded by the German Academic Exchange Service (DAAD), ELIZA transfers the ideas and objectives of ELLIS into a graduate school that connects seven German ELLIS locations (Berlin, Darmstadt, Freiburg, Heidelberg, Munich, Saarbrücken, Tübingen) with their academic institutions. Industrial partners provide direct connections to the AI industry in Germany and beyond. ELIZA directly supports and funds research and education of Master’s and PhD students and aims to become the leading German brand for research and education in machine learning-centered AI.

You will be responsible for maintaining and furthering the networking activities between researchers at TU Darmstadt and the ELLIS network, including other ELLIS units and renowned ELLIS researchers across Europe. Moreover, you will act as contact point for ELLIS in the quickly expanding and highly dynamic AI ecosystem in Darmstadt, including the Hessian Center for Artificial Intelligence (hessian.AI) and the Konrad Zuse School of Excellence in Learning and Intelligent Systems (ELIZA).

Your tasks:

Strategic Management and Development:

  • Management, coordination, & implementation of varied activities connected to the ongoing development and strategic expansion of the ELLIS Unit Darmstadt and the Zuse School ELIZA
  • Strategic and operational support for participating scientists
  • Strategic development and establishment of profile-shaping curricular courses/trainings and event for ELLIS and ELIZA

Networking and Scientific Collaboration:

  • Conceptual and organizational support for the director in coordinating joint research activities, such as international exchange and visitor programs
  • Networking with international and national partners in ELLIS and ELIZA
  • Organization and evaluation of various scientific initiatives and events (e.g., exchange and visitor programs, hackathons, or summer schools)

International Positioning and Outreach:

  • Positioning of ELIZA as an attractive graduate school for international top talents in modern AI
  • Development of a communication concept targeting various audiences from academia, business, and society
  • Design and establishment of communication channels (e.g., website updates/news, social media) using independently created content as well as student created, audience-oriented materials, press releases, articles, and interviews to enhance ELIZA’s international visibility

Integration and Creation of Synergies:

  • Integration of ELIZA into the scientific ecosystem in Darmstadt, connecting ELIZA institutions and positioning of ELIZA within ELLIS
  • Active identification and expansion/creation of synergies between ELIZA and other collaborative research projects

You offer:

  • M.Sc. degree in computer science, cognitive science, mathematics, or engineering
  • Background in AI, especially in machine learning or a machine learning-driven field (e.g., computer vision, NLP, robotics) is desired. A Ph.D. in such a field is a further plus
  • Experience in and high motivation for science management and strong interest in the research areas of ELLIS and ELIZA in particular
  • Ability to work in a highly organized, independent, as well as collaborative fashion and to take initiative
  • Analytical and critical thinking, attention to detail, and the ability to diligently manage a broad range of different responsibilities
  • Ability to interact with members of the scientific community & administrators of different seniority
  • Excellent written and verbal communication skills in English Verbal and written fluency in German, or the willingness to acquire fluency, are a plus
  • Willingness to travel (multiple times per year)

We offer:

  • A highly dynamic and attractive work environment with renowned researchers and top-tier professors, inspiring talents, and a collegial team that will shape the next generation of learning and intelligent systems
  • The opportunity to interact with a broad international network of excellent researchers and administrators across Germany and Europe
  • A varied position with the freedom to introduce your own ideas
  • The opportunity to actively shape the ELLIS unit as part of TU Darmstadt’s AI ecosystem and the Zuse School ELIZA as a national graduate school in ELLIS
  • Opportunities for professional training and career development
  • Access to institutional health services and benefit programs, such as educational programs, free certified language courses, sports facilities and a variety of sport courses, networking and info events, etc.
  • Free local and regional public transport (LandesTicket Hessen) and institutional bicycle leasing

Technical University of Darmstadt intends to increase the number of female employees and encourages female candidates to apply. In case of equal qualifications applicants with a degree of disability of at least 50 or equal will be given preference. Part-time employment is generally possible.

Candidates are invited to send applications electronically, as a single PDF, to Dr. Sebastian Harrach <sebastian.harrach@tu-darmstadt.de>, quoting the application code given below. The application should include a letter of motivation, a curriculum vitae, copies of degree certificates, and the names of at least two professional or academic references.

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Code No. 155

Published on

April 22, 2024

Application deadline

May 20, 2024