Doctoral Student in Spectral Computed Tomography (Deep Learning & Physics Modeling)

KTH Royal Institute of Technology in Stockholm, Sweden, invites applications for a doctoral student position in spectral computed tomography, focusing on deep-learning-based image reconstruction and physics modeling. This project is at the cutting edge of medical x-ray imaging, leveraging photon-counting spectral computed tomography to enhance diagnostic quality. The research will involve developing new methods for data processing and image reconstruction using energy-sensitive x-ray detectors, with a strong emphasis on machine learning and experimental validation. The work is conducted in close collaboration with industry and healthcare partners, providing a dynamic and impactful research environment. The successful candidate will join a vibrant research group at KTH, working under the supervision of Assistant Professor Mats Persson, with additional guidance from Professors Pär Olsson and Mattias Blennow. The project integrates physics, biomedical engineering, and advanced computational techniques, offering opportunities to contribute to both fundamental research and practical applications in medical imaging. Eligibility requirements include a completed second cycle degree (such as a master's) or equivalent, with at least 60 second-cycle credits in physics or a closely related field. Candidates must demonstrate proficiency in English (equivalent to English B/6) and possess a strong academic background in physics and mathematics. Experience in deep learning, medical image reconstruction, numerical programming, and effective communication in English are highly desirable. Selection will also consider personal attributes such as independence, collaboration skills, professionalism, and analytical ability. The position offers full-time employment for up to four years, with a monthly salary according to KTH’s doctoral student salary agreement and access to comprehensive employee benefits. The research environment at KTH is creative and international, with a commitment to equality, diversity, and sustainability. The successful applicant will have opportunities for professional growth, networking, and participation in educational and administrative activities (up to 20% of the role). Applications must be submitted via KTH’s recruitment system by January 2, 2026. Required documents include a CV, application letter outlining research interests and goals, certified copies of diplomas and grades, proof of English proficiency, and representative publications or technical reports. For further information, contact Assistant Professor Mats Persson ([email protected]), Professor Pär Olsson ([email protected]), or Professor Mattias Blennow ([email protected]). This is an excellent opportunity for motivated candidates to contribute to the advancement of medical imaging technology and join a leading technical university in Sweden. For more details and to apply, visit the official application link.