{"id":1817,"date":"2023-07-05T09:51:43","date_gmt":"2023-07-05T09:51:43","guid":{"rendered":"https:\/\/giuliad10.sg-host.com\/?post_type=news-&#038;p=1817"},"modified":"2024-07-11T09:54:34","modified_gmt":"2024-07-11T09:54:34","slug":"ellis-unit-amsterdam-announces-3-new-ai-phd-positions","status":"publish","type":"news-","link":"https:\/\/ivi.fnwi.uva.nl\/ellis\/news-\/ellis-unit-amsterdam-announces-3-new-ai-phd-positions\/","title":{"rendered":"ELLIS unit Amsterdam announces 3 new AI PhD positions"},"content":{"rendered":"<p>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.<\/p>\n<p>The\u202fELLIS unit Amsterdam\u202fseeks 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.\u202fSpecifically, the ELLIS unit Amsterdam\u2019s PhD programme aims to\u202ffoster research collaboration through\u202fjoint supervision:\u202fone\u202fsupervisor\u202ffrom the University of Amsterdam, and the other one from a different university affiliated with the ELLIS Society.<\/p>\n<p>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:<\/p>\n<p>&nbsp;<\/p>\n<h3>Enhancing video-AI robustness via human representational alignment<\/h3>\n<p>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.<\/p>\n<p>The project is a collaboration between Dr. Iris Groen (ELLIS Member, University of Amsterdam) and Prof. Dr. Hildegard K\u00fchne (ELLIS Member, Institut f\u00fcr Informatik, Goethe University Frankfurt and University of Bonn), and Prof. Gemma Roig (Goethe University Frankfurt).<\/p>\n<p>&nbsp;<\/p>\n<h3>Dynamics of Indirect Reciprocity in Human-AI Hybrid Populations<\/h3>\n<p>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\u2019 control, meeting today\u2019s 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.<\/p>\n<p><img decoding=\"async\" class=\"aligncenter\" src=\"https:\/\/ivi.fnwi.uva.nl\/ellis\/wp-content\/uploads\/2023\/07\/Combination-1024x389.png\" \/><\/p>\n<p>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 T\u00e9cnico, University of Lisbon).<\/p>\n","protected":false},"featured_media":0,"template":"","news-or-blog":[15],"class_list":["post-1817","news-","type-news-","status-publish","hentry","news-or-blog-news"],"_links":{"self":[{"href":"https:\/\/ivi.fnwi.uva.nl\/ellis\/wp-json\/wp\/v2\/news-\/1817","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ivi.fnwi.uva.nl\/ellis\/wp-json\/wp\/v2\/news-"}],"about":[{"href":"https:\/\/ivi.fnwi.uva.nl\/ellis\/wp-json\/wp\/v2\/types\/news-"}],"wp:attachment":[{"href":"https:\/\/ivi.fnwi.uva.nl\/ellis\/wp-json\/wp\/v2\/media?parent=1817"}],"wp:term":[{"taxonomy":"news-or-blog","embeddable":true,"href":"https:\/\/ivi.fnwi.uva.nl\/ellis\/wp-json\/wp\/v2\/news-or-blog?post=1817"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}