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We are currently recruiting a postdoctoral researcher with a focus on understanding and predicting the performance of machine learning systems.

For an autonomous intelligent system to be under meaningful human control it has to demonstrably and verifiably be responsive to relevant human interventions on social, moral or legal grounds. Machine learning algorithms may be considered a natural candidate to achieve this responsiveness, given their efficiency and adaptability. However, due to training data scarcity, biases in data sets, noisy human behaviour, and the difficulty to model social, moral and legal norms, most of today’s  machine learning algorithms are rather unqualified for dealing with such complex situations. An important reason is that these algorithms are often unaware of their own limitations and reliability, and they lacking the ability to proper capture human behaviour and values. This postdoctoral research position will focus on the research and development of machine learning algorithms that combine model-based (e.g., cognitive models) and data-driven approaches. The resulting AI solutions will have a higher degree of explainability and self-awareness than existing machine learning systems, and will fulfill the responsiveness requirement needed for autonomous systems to be under meaningful control by reporting their own decision performance, reliability, dilemmas and failures.

Please submit your research proposal, resume and letter of motivation by sending them in an email to Anne Jonker.

We accept open applications for postdoctoral and PhD positions. Potential applicants should have a demonstrable affinity to work in an engineering context and should have a keen interest in societal impact of autonomous intelligent systems. Applicants for postdoctoral positions can send their research proposal, resume and letter of motivation to Anne Jonker. For PhD positions, please send your application to a member of the AiTech Core Team best matching your research interest.

AiTech aims to build a community of pioneers, aiming at profoundly interdisciplinary research and societal impact in an engineering context.  We seek collaborators with a ‘can do attitude’ in the context of academic, industrial, governmental or cross-border European projects.

We solicit concrete proposals for master thesis projects across all disciplines relevant to AiTech and in particular proposals that line up with current AiTech projects.