KTH Royal Institute of Technology invites applications for a doctoral student position in machine learning, supervised by Professor Aristides Gionis. The research team is dedicated to advancing novel methods for extracting knowledge from data, modeling large-scale complex systems, and exploring innovative applications in data science. Key research areas include models and algorithms for knowledge discovery, algorithmic and statistical techniques for big data management, optimization for machine learning, analysis of information and social networks, and issues of fairness, accountability, and transparency in learning systems.

The position is funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP), Sweden's largest research initiative in artificial intelligence and autonomous systems. WASP aims to foster excellence in AI, autonomous systems, and software, supporting Swedish industry through strategic research, education, and faculty recruitment. The program focuses on intelligent systems that collaborate with humans and adapt to their environment using sensors, information, and knowledge.

Applicants must hold or be about to receive a Master of Science degree in computer science, machine learning, AI, data science, or a related field. Eligibility requires a second cycle degree or at least 240 higher education credits (with at least 60 at the second-cycle level), or equivalent knowledge. English proficiency equivalent to English B/6 is mandatory. Candidates should demonstrate strong academic credentials, a solid background in algorithms design, machine learning, and optimization, as well as robust programming and implementation skills. Personal attributes such as goal orientation, perseverance, independence, collaboration, professionalism, and analytical ability are highly valued during the selection process.

The doctoral student will be employed full-time for up to four years, with the possibility of renewal. Employment includes a monthly salary according to KTH's doctoral student salary agreement, a workplace with employee benefits, and opportunities for professional development. The position is based in Stockholm, Sweden, and offers a creative and dynamic environment at one of Europe's leading technical universities.

To apply, candidates must submit a complete application through KTH's recruitment system by the deadline of March 5, 2026. Required documents include a CV, application letter (maximum 2 pages), diplomas, grades, certificates of language requirements, and representative publications or technical reports. Certified translations are required if documents are not in English or Swedish. For further information, contact Professor Aristides Gionis at [email protected] or HR Anna Olanås Jansson at [email protected].

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