Tenure-Track Assistant Professor

Professor in the area of Biomedical Magnetic Resonance Imaging (MRI) . The successful candidate will have a chance to work with an interdisciplinary team to advance ultra-low-field MRI technologies and facilitate their translation into cutting-edge healthcare applications. Requirements We seek a candidate with advanced training in the physical, engineering, and computational foundations of MRI, with a strong focus on deep tech and impact. Applicants must possess a Ph.D. in Electrical Engineering, Biomedical Engineering, Physics, or a related discipline, alongside a strong track record of high-impact publications. Candidates must demonstrate deep technical expertise in one of the following core domains: (1) MRI Physics & Hardware Design: Experience in magnet configurations, RF/gradient coil engineering, pulse sequence programming, and shielding-free system architectures. (2) Computational Imaging & AI: Deep learning and data-driven image formation to tackle the grand SNR and resolution challenges in ultra-low-field MRI. (3) Translational Research: Developing paradigm-shifting applications for ultra-low-field MRI, such as point-of-care imaging and population health monitoring. Duties and Responsibilities The appointee will be expected to: Conduct independent research; Develop and secure competitive external research funding; Supervise postgraduate students; Teach undergraduate and postgraduate courses; Contribute to curriculum development and academic administration; Engage in interdisciplinary collaborations. What We Offer The appointment will be made on fixed-term full-time contract for 3 years initially, to commence as soon as possible thereafter, with the possibility of renewal and consideration for tenure before the expiry of a second three-year fixed-term contract, subject to satisfactory performance. A highly competitive salary commensurate with qualifications and experience will be offered, together with contract-end gratuity and University contribution to a retirement benefits scheme at 15% of basic salary. Other benefits include annual leave, medical benefits, and free access to on-campus gyms and libraries. Housing benefits will be provided as applicable. How to Apply The University only accepts online applications for these positions. Applicants should apply online at the University’s careers site (https://jobs.hku.hk) and upload the following documents: (i) a cover letter, (ii) an up-to-date C.V. (including a full list of publications), (iii) a teaching statement (maximum 2 pages), (iv) a research statement (maximum 2 pages) outlining current and future research plans, and (v) the contact information of at least three referees. Review of applications will start as soon as possible and continue until December 31, 2026, or until the post is filled, whichever is earlier. Only shortlisted candidates will be invited for an interview. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency Advertised: Oct 7, 2026 (HK Time) Applications close: Dec 31, 2026 (HK Time)