Tenure-Track Assistant Professor

Hku Careers; Coimbra; On-site; EUR 102,000 - 148,000; Full time

Benefits offered by this job

Housing benefits

Medical benefits

Retirement benefits

Annual leave

Gym access

Job summary

The University of Hong Kong invites applications for a Tenure-Track Assistant Professor position in Biomedical Magnetic Resonance Imaging (MRI) within the Department of Electrical and Computer Engineering. The appointee will join an interdisciplinary team advancing ultra-low-field MRI technologies and translating them to healthcare applications.

Requirements include a PhD in Electrical Engineering, Biomedical Engineering or Physics, a proven publication record, and expertise in MRI

Qualifications

• PhD in Electrical Engineering, Biomedical Engineering or Physics with high-impact publications.
• Deep technical expertise in MRI physics, hardware and/or AI-driven imaging.
• Strong track record of interdisciplinary collaboration and translational research.

Responsibilities

• Develop and secure external research funding.
• Teach undergraduate and postgraduate courses.
• Contribute to curriculum development and academic administration.
• Engage in interdisciplinary collaborations.

Skills

MRI Physics

Computational Imaging

Translational Research

Education

PhD in Electrical Engineering, Biomedical Engineering or Physics

Job description

Tenure-Track Assistant Professor in theDepartment of Electrical and Computer Engineering(ECE) (Ref.: 537490)

The University of Hong Kong has a highly ranked engineering school and active electrical and computer engineering programmes. The Department of Electrical and Computer Engineering offers B.Eng., M.Sc., M.Phil. and Ph.D. programmes. Information about the Department can be obtained at http://www.ece.hku.hk

The Position

We now invite applications for appointment as Tenure-Track Assistant 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

• Develop and secure competitive external research funding;


• 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.

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)