Doctoral student in Machine Learning for Reliable Quantum Computing KTH Royal Institute of Technology in Sweden

This doctoral position at KTH Royal Institute of Technology offers an exciting opportunity to advance machine learning methods for reliable quantum computing. Funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP), the project focuses on tackling quantum noise and error mitigation using physics-informed, structured machine learning. The research aims to develop scalable and robust models that enhance the reliability of quantum algorithms, with applications in cryptography, optimization, and quantum chemistry.

The successful candidate will join the Department of Computational Science and Technology, working in an international and collaborative research environment. The project emphasizes learning error processes from limited and noisy measurement data, contributing to the broader goal of improving quantum computing reliability. Close interaction with the WASP Graduate School is expected, providing access to a network of leading researchers and resources.

Applicants should have a strong academic background in computer science, quantum computing, machine learning, engineering physics, or related fields. Admission requires a second cycle degree (such as a master's) or equivalent, or at least 240 higher education credits with 60 at the second-cycle level. English proficiency equivalent to English B/6 is mandatory. Meritorious qualifications include documented knowledge of quantum computing and machine learning methods through university-level courses or research projects. Personal skills such as independence, collaboration, professionalism, and analytical ability are highly valued.

The position is full-time and temporary, with employment for up to four years, renewable according to KTH's doctoral student salary agreement. Doctoral students are entitled to a workplace, employee benefits, and a monthly salary. The role may include up to 20% additional tasks such as training and administration. Security clearance may be required for certain positions, in accordance with Swedish law.

To apply, candidates must submit a complete application via KTH's recruitment system, including diplomas, grades, language certificates, CV, application letter, and representative publications or technical reports. Applications must be received by the deadline of June 8, 2026. For further information about doctoral studies at KTH, visit the university's website.

KTH is committed to equality, diversity, and providing a creative and dynamic environment for research and education. Join a leading international technical university and contribute to the advancement of sustainable society through innovative research in quantum computing and machine learning.