The School of Electrical Engineering and Computer Science at KTH Royal Institute of Technology is looking for a highly motivated PhD student to join the research group of Professor Aristides as part of WASP, Sweden’s largest individual research programme.
Project description
Third-cycle subject: Computer Science
Social-network platforms moderate content using classifiers trained on contested value judgments. In this project we aim to develop algorithms for selecting and ranking content by crowd consensus, using only interaction data, and no editorial discretion. The underlying methods will be based on axiomatic approaches, social choice theory, and human-AI collaboration.
Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever, a major national initiative for strategically motivated basic research, education and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems.
The graduate school within WASP is dedicated to provide the skills needed to analyze, develop, and contribute to the interdisciplinary area of artificial intelligence, autonomous systems and software. Through an ambitious program with research visits, partner universities, and visiting lecturers, the graduate school actively supports forming a strong multi-disciplinary and international professional network between PhD-students, researchers and industry.
This PhD position is funded by WASP.
Supervision: Prof. Aristides Gionis