Research Position in The Sfb Trr 318 in The Field of Machine Learning

Kontrast ändern - The CITEC (Center for Cognitive Interaction Technology) has the following job opening in the SFB TRR 318 [subproject A01]: - Research Position in the SFB TRR 318 in the field of machine learning - ID**:Wiss25321** - starting: 01.01.2026 - fulltime - salary according to Remuneration level 13 TV-L - fixed-term - The transregional collaborative research center (TRR) “Constructing Explainability” funded by the German Research Foundation (DFG) at the Universities of Paderborn and Bielefeld, deals with explainable and explanatory artificial intelligence. The central hypothesis of the TRR is that explanations should be co-constructed by dialogue partners so that humans can make confident and informed decisions when interacting with intelligent systems. To this end, both universities aim to contribute basic research in the areas of co-constructive explanation processes and their mechanisms, explanation as a socio-technical phenomenon, and computational representations of the dynamics of co-constructive explanation. They bring together different disciplinary perspectives both at the level of individual projects and the TRR as a whole. The goal of the second funding phase is to develop more flexible, personalized, proactive explanation systems (sXAI) that take social and situational context into account when adapting their explanatory behavior. The sub-project C03 "Explaining Change" focuses on ex-ante explanations for the adaptation of complex, composite AI systems to a new context or a new task. Prominent examples are fine-tuning, transfer learning or prompting of complex AI systems that are grouped around a basic model, but also the adaptation of more classical hybrid systems. A special challenge in the project is the suitable representation of the different parameterizations of context, system and, if necessary, multi-criteria objective function as well as the handling of uncertainty in the XAI technologies to be developed. In addition to mathematical modeling and algorithmic implementation, evaluation is also part of the task. - Your Tasks - research activities (95 %): - mathematical modeling of XAI technologies for AI systems - algorithmic implementation of machine learning approaches - evaluation of approaches (crowd-sourcing platform) - evaluation, publication and presentation of scientific results - cooperation with network partners and participation in TRR activities (5%) Employment is conducive to academic qualification.- We offer - salary according to Remuneration level 13 TV-L - fixed-term (limited until 30.06.2029 - end of project) (- 2 (1) sentence 1 of the WissZeitVG; in accordance with the provisions of the WissZeitVG and the Agreement on Satisfactory Conditions of Employment, the length of contract may differ in individual cases) - fulltime - internal and external training opportunities - variety of health, consulting and prevention services - reconcilability of family and work - flexible working hours - good transport connection - supplementary company pension - collegial working environment - open and pleasant working atmosphere - exciting, varied tasks - modern work environment with digital processes - various offers (canteen, cafeteria, restaurants, Uni-Shop, ATM, etc.) - Your Profile - We expect - completed scientific university degree (e. g. Master's or comparable) in computer science, mathematics or in related fields - strong knowledge of machine learning (theory and practice) - very good knowledge of mathematics (modeling, optimization, statistics) - interest and passion for interdisciplinary research at the interface of machine learning and cognitive science - very good programming skills (Python) - good knowledge of German and English (oral and written) - analytical skills and scientific mindset - independent, self-reliant and committed way of working - Preferred experience and skills - practical experience in research on large language models, in particular open weight LLMs - knowledge of XAI - Application Procedure **Contact** Prof. Dr. Barbara Hammer +49 521 106-12115 **Postal Address** Universität Bielefeld Technische Fakultät Prof. Dr. Barbara Hammer Postfach 10 01 31 33501 BielefeldAt Bielefeld University on request positions can be carried out with reduced working hours as long as this does not conflict with official needs. - open as PDF **Datenschutzeinstellung**: Diese Webseite verwendet Cookies und ähnliche Technologien. Einige davon sind essentiell, um die Funktionalität der Website zu gewährleisten, während andere uns helfen, die Website und Ihre Erfahrung zu verbessern. Falls Sie zustimmen, verwenden wir Cookies und Daten auch, um Ihre Interaktionen mit unserer Webseite zu messen. Sie können Ihre Einwilligung jederzeit unter Datenschutzerklärung einsehen und mit der Wirkung für die Zukunft widerrufen. Auf der Seite finden Sie auch zusätzliche Informationen zu den verwendeten Cookies und Technologien. **Alle akzeptieren** **Nur notwendige Cookies zul