The Faculty of Engineering, Computer Science and Psychology, Institute of Neural Information Processing, is seeking to fill the position of Professor (W3) of Machine Learning. The research focus of this professorship should center around fundamental methodological contributions to machine learning. This includes expertise in statistical learning methods, neural network architectures, cognitive modeling of learning and adaptation processes, relational and structured learning models, and related topics. The ideal candidate will demonstrate connections to the faculty's key focus area, 'Cognitive Systems', and the strategic development area 'Data Science'. Moreover, affiliations to fields such as medical image processing, psychology of cognitive processes, technical adaptive systems, and relevant topics in other faculties of the university are desirable. Collaborative involvement with companies in the Science Park of Ulm and the newly founded DLR Institute for Secure AI is also welcome. Experience in acquiring third-party funding and participation in national and international research collaborations are required attributes. In teaching, the professorship will cover the area of 'Machine Learning' and practical and applied computer science topics in the core curriculum of the bachelor's degree programs in computer science. Teaching of advanced modules is, in particular, expected in the master's degree program 'Artificial Intelligence' and in the international master's degree program 'Cognitive Systems'. Modules at the master’s level are primarily taught in English. The candidate's excellence in teaching will be evident through appropriate teaching evaluations. Participation in academic administration is expected. The professorship is linked to the role of deputy director for the Institute of Neural Information Processing.

As part of its webinar series on region-specific diversity issues, the ALBA Network is organizing a panel discussion to explore the challenges and biases faced by neuroscientists while establishing their research groups and careers in the MENA region, from an academic and cultural perspective. This will be followed by highlights of success stories, unique region-specific opportunities for research collaborations and recommendations to improve representation of MENA neuroscientists in the global stage.