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      Urgent! Research Position (m/f/d) in the SFB TRR 318 in the field of machine learning Job Opening In Bielefeld – Now Hiring Universität Bielefeld
 
                        
                         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.
The position will be filled subject to project approval.
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Great news! Universität Bielefeld is currently hiring and seeking a Research Position (m/f/d) in the SFB TRR 318 in the field of machine learning to join their team. Feel free to download the job details.
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