Post-doctoral Fellow (Artificial Intelligence or Hardware Systems)

Hku Careers

Coimbra

On-site

EUR 53,000 - 69,000

Full time

14 days+

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Benefits offered by this job

Medical and dental benefits
Access to state-of-the-art MRI systems
Support for publications and conf.参与
Career development opportunities

Job summary

HKU Careers in Hong Kong seeks a Post-doctoral Fellow to lead AI-driven MRI analysis and computational imaging research within the BISP Lab, part of the Department of Electrical and Computer Engineering. The fellow will collaborate with clinicians and engineers to translate cutting-edge imaging methods into practice.

The role emphasizes independent research, publication-grade work, and contributions to AI, deep learning, and hardware systems related to MRI technology.

Qualifications

  • PhD in a related discipline with strong publications in AI and medical imaging.
  • Experience developing DL models and computational methods for MRI.
  • Ability to work independently and in multidisciplinary teams.

Responsibilities

  • Develop novel AI and machine learning approaches for MRI image analysis.
  • Design, implement, and validate deep learning algorithms for medical imaging.
  • Conduct independent research and advance computational MRI methods.
  • Analyze large-scale MRI datasets and evaluate algorithm performance.

Skills

Python
Deep Learning
AI in Medical Imaging
Research Collaboration

Education

PhD in related field

Tools

PyTorch
TensorFlow

Job description

  • Senior Research Staff & Post-doctoral Fellow 1
Faculty
  • Faculty of Engineering 1
Post-doctoral Fellow (Artificial Intelligence or Hardware Systems)

Ref.: 537358
Work type: Full-time
Department: Department of Electrical and Computer Engineering (14300)
Categories: Senior Research Staff & Post-doctoral Fellow, Research Staff

Post-doctoral Fellow in theLaboratory of Biomedical Imaging and Signal Processing ( BISP Lab — HKU MRI Research Laboratory ) of the Department of Electrical and Computer Engineering (Ref.:537358)(to commence as soon as possible,on a one-year full-time basis, with the possibility of renewal subject to satisfactory performance.)

About the Position

The Laboratory of Biomedical Imaging and Signal Processing in the Faculty of Engineering is seeking an outstanding and highly motivated Post-doctoral Fellow to join the research team working on advanced MRI technologies, artificial intelligence, computational medical imaging and hardware systems.

The successful candidate will lead and contribute to innovative research projects involving AI-driven MRI analysis, deep learning methodology development, and clinical translation. The candidate will work closely with multidisciplinary collaborators, including clinicians, imaging scientists, and engineers, to develop advanced computational solutions for medical imaging applications.

Key Responsibilities
Research & Method Development
  • Develop novel artificial intelligence and machine learning approaches for MRI image analysis.
  • Design, implement, and validate deep learning algorithms for medical imaging applications.
  • Conduct independent research and contribute to the advancement of computational MRI methods.
  • Analyse large-scale MRI datasets and evaluate algorithm performance.
Qualifications & Skills

Education:

  • PhD degree in Computer Science, Artificial Intelligence, Biomedical Engineering, Medical Imaging, Medical Physics, Electrical / Mechanical Engineering, or a closely related discipline.

Research Experience:

  • Strong publication / track record in in the use of artificial intelligence in medical imaging, artificial intelligence, computer vision, or related fields (AI); electrical/mechanical hardware systems (hardware).
  • Demonstrated experience developing deep learning models and computational methods.
  • Ability to conduct independent research and collaborate effectively within multidisciplinary teams.
Skills
  • Advanced programming skills in Python.
  • Strong experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
  • Excellent communication and teamwork skills.
What We Offer
  • A leading research environment focused on next-generation MRI and AI technologies.
  • Opportunities to conduct internationally competitive research with clinical impact.
  • Access to state-of-the-art MRI systems and advanced computing infrastructure.
  • Support for publication, conference participation, and career development.
  • Competitive salary commensurate with qualifications and experience, with medical and dental benefits.

31 December,2026

Applications close: Dec 31, 2026 (HK Time)

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