Algorithms are pervading society at a rapid pace. They are used in a variety of contexts, ranging from the replacement of certain tasks humans prefer to offload or cannot handle at large scale, to systems that support or advise humans. With the advent of these systems, their downsides also become more and more prominent. Systems that do not treat certain groups fairly and include biases, for example, have a huge impact on society. We are looking for an assistant/associate professor that focuses on algorithmic solutions for these problems. Examples of such adaptive, responsible and explainable AI may include learning bias-free models from biased data, evaluation approaches to estimate algorithmic fairness, formal norms and constraints on algorithms to guarantee fair treatment, culturally inclusive- and socially-aware AI, or explainable AI methods, as well as other relevant algorithmic approaches and solutions. We are looking for a colleague who is a leader in the field, and can contribute to a stream of high quality publications in this area, acquire external research grants, conduct excellent teaching, and act as a bridge builder within the Department. The position will be embedded in one of the existing AI research groups in the Department.
Your duties The career track position starts at the level of assistant or associate professor (depending on the experience) in the areas of research, education, and management (40%:40%:20%), and contains the following duties:
- setting up a research line in the area of human-aware AI
- performing research in the field of human-aware AI
- teaching courses in the Bachelor and Master Artificial Intelligence and other relevant programs
- supervision of Bachelor, Master, and PhD students
- initiating and contributing to research grant proposals
- contributing to administrative tasks