PhD Student in Algorithmic Foundations for AI-Supported Consensus and Ranking

Kungliga Tekniska Högskolan · Vollzeit

Lindstedtsvägen 3, Stockholm, Schweden

Project Description Research Field: Computer Science Social media platforms moderate content using classifiers trained on contested values. The goal of this project is to develop algorithms that select and rank content based on collective consensus, using only interaction data and without editorial judgment. The underlying methods will be based on axiomatic approaches, collective decision-making theory (social choice theory), and human-AI collaboration. Wallenberg AI, Autonomous Systems and Software Program, WASP, is Sweden's largest single research program in modern times. The program creates a platform for academic research and education in close collaboration with leading Swedish technology-intensive industry. The research encompasses artificial intelligence and autonomous systems that work in collaboration with humans and adapt to their environment using sensors, information and knowledge, creating intelligent systems of systems. Learn more The WASP Graduate School aims to provide future researchers with the necessary knowledge to analyze, develop, and actively contribute to the interdisciplinary development of artificial intelligence, autonomous systems, and software. Through an ambitious program featuring research visits, partner universities, and guest lecturers, the graduate school actively supports the development of a strong multidisciplinary and international professional network among PhD students, researchers, and industry. The graduate school thus offers a unique opportunity for students attracted to world-class international research with industrial relevance. More information The PhD position is funded by WASP Supervision: Prof. Aristides Gionis is proposed as the PhD student's advisor. Final decision is made upon admission. Admission Requirements To be admitted to research education (Chapter 7, Section 39 of the Higher Education Ordinance), basic eligibility is required: a completed degree at advanced level, or completion of course requirements of at least 240 higher education credits, of which at least 60 higher education credits at advanced level, or acquisition of substantially equivalent knowledge in some other way, within or outside the country. In addition to the above, there is also a mandatory requirement for English equivalent to English B/6. Selection To succeed in your PhD studies at KTH, you need to be goal-oriented and persistent in your work. Selection assesses the ability to: independently drive your work forward, collaborate with others, maintain a professional approach, and analyze and work with complex issues. The applicant should have completed, or be close to completing, a master's degree in Computer Science, Machine Learning, AI, Data Science, or a related field. The applicant should also be able to demonstrate strong academic merits, evidenced by very good study results or relevant projects. We welcome applications from talented and highly motivated candidates with a strong mathematical background. After meeting the eligibility requirements, considerable weight will be placed on personal qualities. Degree Objective: Doctoral Degree Information on Admission and Employment Only those admitted to research education may be employed as PhD students. The total employment period must not exceed what corresponds to full-time research education at the doctoral level for four years. An employed PhD student may, to a limited extent (maximum 20%), perform certain tasks such as teaching and administration. A new employment as a PhD student applies for a maximum of one year; the employment may thereafter be renewed for a maximum of two years at a time. As a PhD student, you will receive KTH employment benefits and a monthly salary according to KTH's agreement for PhD student salaries. Learn more about Research Studies at KTH | KTH | Sweden. Trade Union Representatives Contact information for trade union representatives. PhD Student Section (Royal Institute of Technology Student Union) Contact information for the PhD student section. Application You apply through KTH's recruitment system. As an applicant, you are responsible for ensuring that your application is complete when submitted. The application must contain: Copies of diplomas and transcripts from previous university studies and certification of fulfilled language requirements (see above). Translations into English or Swedish if the original document is not issued in one of these languages. Copies of originals must be certified. CV with relevant professional experience and knowledge. Application letter with a brief account of why you want to pursue research studies, your academic interests, and how they relate to your previous studies and future goals. (Max 2 pages) Representative publications or technical reports. For longer documents, please attach a summary (abstract) and a web link to the full text. The application must be received by KTH no later than the final application deadline at midnight, CET/CEST (Central European Time/Central European Summer Time). Other Information For information on the processing of personal data in connection with recruitment. It may be the case that an employment at KTH is placed in a security class. If this is the case for this particular employment, a security check of the applicant will be conducted in accordance with the Security Protection Act (2018:585) after consent. In these cases, a requirement for employment is that the applicant is approved after the security check. 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