The Division of Decision and Control Systems at KTH Royal Institute of Technology invites applications for up to two doctoral student positions in the area of Learning and Control of Networked Cyber-Physical-Human Systems (CPHS). This research project is situated at the intersection of network dynamics, learning, and control, aiming to address theoretical challenges within networked CPHS. These systems involve humans in interconnected communities making decisions while interacting with cyber-physical or control systems, with applications in complex socio-technical environments such as smart cities.

The project will focus on learning complex dynamics from big data, rigorous characterization and data-based modeling of decision-making dynamics over networked CPHS, and the development of novel tools to design and assess the impact of control strategies or interventions. The Division conducts fundamental research in networked control systems and offers opportunities for collaboration with the KTH Live-in Lab and involvement in experimental design. The interdisciplinary nature of the project encourages collaboration with scientists from other fields.

Supervision will be provided by Assistant Professor Angela Fontan and Professor Karl Henrik Johansson, both experts in control systems and network theory. The positions are full-time and based in Stockholm, Sweden, with a monthly salary according to KTH's doctoral student salary agreement and a range of employee benefits. The employment is temporary, with a maximum duration corresponding to four years of full-time doctoral education. Doctoral students may also perform certain tasks within their role, such as training and administration, up to 20% of their time.

Applicants must meet the admission requirements for postgraduate education, including a second cycle degree (master's or equivalent), or at least 240 higher education credits with 60 at the second-cycle level, and English proficiency equivalent to English B/6. Selection criteria emphasize independence, collaboration, professionalism, and analytical skills, with personal attributes highly valued. Security clearance may be required for some positions.

To apply, candidates should submit a CV, application letter outlining their motivation and academic interests, certified copies of diplomas and grades, proof of language requirements, representative publications or technical reports, and contact information for at least three references. Applications must be submitted through KTH's recruitment system by the deadline of March 5, 2026.

KTH Royal Institute of Technology is a leading international technical university, committed to advancing education, research, and innovation for a sustainable society. The university offers a creative and dynamic environment, good working conditions, and attractive benefits, with a strong commitment to equality, diversity, and equal opportunities.