Computer Scientist – Data Engineering & AI Infrastructure (m/f/d)

Karlsruhe Institute of Technology (KIT) – The University of the Helmholtz Association In dialogue with society, KIT develops solutions for major challenges – from climate change, energy transition and sustainable use of natural resources to artificial intelligence, technological sovereignty and demographic change. As the University in the Helmholtz Association, KIT combines scientific excellence from knowledge gain to application orientation under one roof – and is thus in a unique position to advance this transformation. As a university of excellence, KIT offers its more than 10,000 employees and its 22 800 students outstanding opportunities to shape a sustainable and resilient future. KIT – Science for Impact. We are looking for the Institute for Nanotechnology (INT) right away until 31.10.2028 Projektleiter (w/m/d)

You are responsible for the operation and further development of the IT infrastructure for AI-assisted, semantic data processing of materials – and accompany onboarding and community support. Your tasks include: Research and development of AI-based, semantic data processing solutions for material data Development and operation of the project-wide IT infrastructure for material data, semantic processing and AI workflows Conception, research and implementation of ontology-based extensions of the material-digital data portal (CKAN as a reference and entry solution for data and metadata management) Analysis and evaluation of alternative platform and data space concepts Integration of the PMD data space into federal data spaces, in particular Gaia-X and Catena-X integration, consolidation and provision of tools and services from other working groups Establishment and operation of a common service and tool landscape Presentation of results at national/international conferences and implementation of training and workshops (PMD measures) Cooperation with researchers and external project partners Development and implementation of operational, update and sustainability concepts

You have: a successfully completed university degree (Diplom (Uni) or Master) in computer science, physics, engineering or related fields, ideally already with a completed doctorate very good knowledge in the operation of data-intensive IT infrastructures Experience with data and metadata platforms (e.g. CKAN) Ability to critically analyze and develop or replace existing solutions very good knowledge of Linux, container technologies (e.g. Docker) and service-oriented architectures Experience with APIs and authentication and authorization concepts Ability to understand the documentation of complex systems autonomous, structured functioning and high communication capability Ideally, you will have experiences in the following areas: Gaia-X, Catena-X or comparable data space ecosystems Metadata standards, Federation and interoperability Open source and community-driven software development semantic data infrastructures or knowledge graphs sustainable research software, reproducibility and FAIR-related concepts Training, onboarding or technical coordination

Part of the only German university of excellence with major national research and work on current research and teaching for our future under outstanding working conditions in an international environment. Start professionally with targeted training as well as wide-ranging further training offers. Benefit from flexible working time models (Gleitzeit, Homeoffice), various sports and leisure activities as well as child and holiday care services. We also offer a grant to the BW Job Ticket, amounting to 25 €/month, and a multi-page offer in various menus. We aim to achieve the most uniform possible occupation of jobs with employees (w/m/d) and would therefore be particularly pleased with women's applications. In the case of the same suitability, people with difficulty are recognised. .