PhD Positions in Machine Learning for Decision Making KTH Royal Institute of Technology in Sweden

KTH Royal Institute of Technology in Stockholm, Sweden, invites applications for up to two PhD positions in machine learning for decision making. The positions are based in the Division of Decision and Control Systems within the School of Electrical Engineering and Computer Science. Successful candidates will join a world-leading research group engaged in interdisciplinary projects focused on developing advanced machine learning models for the regulation and control of complex systems.

The division conducts cutting-edge research in areas such as networked control systems, cyber-physical systems, system identification, and transport systems. The research is highly collaborative, involving industrial partners like Hitachi Energy, ABB, Ericsson, and Scania, as well as academic collaborations with top institutions including Caltech, MIT, UC Berkeley, and Stanford. Much of the research is conducted within the Wallenberg AI, Autonomous Systems and Software Program (WASP), Sweden's largest individual research program in AI, autonomous systems, and software.

Supervision will be provided by Professor Karl Henrik Johansson and Matthieu Barreau, with the final decision made upon admission. The positions offer the opportunity to pursue doctoral studies in a dynamic, international research environment with strong industry and academic connections. Employment is full-time and fixed-term for up to four years, with a monthly salary according to KTH's doctoral student salary agreement. The university provides a supportive environment with a focus on working conditions, equality, diversity, and a vibrant study atmosphere. The location in Stockholm offers proximity to both urban amenities and natural surroundings.

Eligibility and Requirements: Applicants must have a master's degree or equivalent (at least 240 ECTS credits, with at least 60 at the advanced level) in a relevant field. Proficiency in English equivalent to English B/6 is required. Selection is based on academic achievements, relevant coursework, and personal qualities such as independence, collaboration skills, and the ability to handle complex problems. Specialization in machine learning, control theory, or mathematics is highly desirable. Application materials must include a CV, cover letter, degree certificates and transcripts, proof of English proficiency, representative publications or technical reports, and contact details for at least three referees. Translations to English or Swedish are required if documents are in other languages. Security clearance may be required for some positions.

Application Process: Applications must be submitted via KTH's recruitment system by 2025-11-21. Applicants are responsible for ensuring their application is complete. For more information about the research group and ongoing projects, visit the division's website and WASP.

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