The European Laboratory for Learning and Intelligent System (ELLIS) unit Amsterdam is delighted to announce three new ELLIS unit Amsterdam PhD positions. These projects will conduct research on artificial intelligence by machine learning with an international collaboration scheme by leveraging the ELLIS Society network, which the unit is part of.
The ELLIS unit Amsterdam seeks to serve as a hub between the Amsterdam AI ecosystem spearheaded by the University of Amsterdam and other leading European AI ecosystems which expedites high-quality and collaborative research in machine learning or a related research area. Specifically, the ELLIS unit Amsterdam’s PhD programme aims to foster research collaboration through joint supervision: one supervisor from the University of Amsterdam, and the other one from a different university affiliated with the ELLIS Society.
The call for PhD proposals was opened internally for the second time in February 2023 which targeted Faculty Members of the ELLIS unit Amsterdam. The received proposals were ranked by taking into consideration, among others, research excellence, the added value of the collaboration, and contribution to diversity and inclusion. The awarded projects are:
Enhancing video-AI robustness via human representational alignment
State-of-the-art deep neural networks developed for video-AI have become very successful on tasks such as action recognition. However, like other forms of deep learning, contemporary video-AI suffers from problems with robustness to noise and generalization across domain shifts, which are ubiquitous in real-world settings. Current approaches to increase robustness mainly focus on scaling up the training data and model size, requiring increasing computational resources, which runs counter to the societal need to develop efficient and sustainable AI. Here, we propose to explore a radically different strategy towards enhancing video-AI robustness and generalization: aligning video-AI models with humans, using human ratings of perceived video similarity and human brain measurements.
The project is a collaboration between Dr. Iris Groen (ELLIS Member, University of Amsterdam) and Prof. Dr. Hildegard Kühne (ELLIS Member, Institut für Informatik, Goethe University Frankfurt and University of Bonn), and Prof. Gemma Roig (Goethe University Frankfurt).
Dynamics of Indirect Reciprocity in Human-AI Hybrid Populations
Understanding cooperation is a fundamental research quest across disciplines. On the one hand, explaining the evolution of cooperation is a key scientific question in the realm of evolutionary biology. On the other hand, from climate change mitigation to pandemics’ control, meeting today’s major societal challenges requires understanding cooperation dynamics. With the advent of Artificial Intelligence, studies on cooperation found a new application domain: How to design systems where artificial agents positively impact human cooperation? This PhD project will combine theoretical analysis (based on Evolutionary Game Theory, and Multi-agent Reinforcement Learning) and human-agent interaction experiments to understand how learning agents impact human dynamics of cooperation and indirect reciprocity.
The project is a collaboration between Dr. Fernando P. Santos (ELLIS Member, Institute of Informatics, University of Amsterdam) and Prof. Ana Paiva (ELLIS Fellow, Instituto Superior Técnico, University of Lisbon).