Research Assistant II (Artificial Intelligence)

Hku Careers

Coimbra

On-site

EUR 21,000 - 32,000

Full time

14 days+

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Job summary

HKU Careers seeks a Research Assistant II to join the Laboratory of Biomedical Imaging and Signal Processing (BISP Lab) at HKU's Electrical and Computer Engineering Department. The role focuses on developing computational methods for MRI research, including deep learning-based image analysis, data pipelines, and research computing infrastructure management.

The successful candidate will work in a multidisciplinary environment with medical imaging scientists, clinicians, engineers, and AI

Qualifications

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Biomedical Engineering, Medical Physics, Electrical Engineering, Data Science, or related disciplines.

Responsibilities

  • Manage lab computing resources, including Linux servers, NAS storage, and GPU workstations.
  • Install, configure, and maintain software environments for AI and medical imaging research.
  • Manage computational workflows, data organization, and storage for large MRI datasets.
  • Provide technical support for researchers using lab computing resources.
  • Collaborate with researchers and clinicians on MRI and AI projects.
  • Prepare research documentation, technical reports, and publications.
  • Participate in laboratory meetings and contribute to project development.

Skills

Python
PyTorch
TensorFlow
Linux
Git
Communication
Teamwork

Education

Bachelor's or Master's in CS/AI/Engineering/Data Science

Job description

Research Assistant II (Artificial Intelligence)

Research Assistant II in theLaboratory of Biomedical Imaging and Signal Processing ( BISP Lab — HKU MRI Research Laboratory ) of the Department of Electrical and Computer Engineering (Ref.:537357)(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 a motivated and technically skilled Research Assistant to join the research team.

The successful candidate will contribute to the development and implementation of computational methods for MRI research, including deep learning-based image analysis, data processing pipelines, and research computing infrastructure management. The position provides an excellent opportunity to work in a multidisciplinary environment involving medical imaging scientists, clinicians, engineers, and AI researchers.

Key Responsibilites

1. Research Computing & Infrastructure Support
  • Assist in the management and maintenance of laboratory computing resources, including Linux servers, NAS storage systems, and GPU workstations.
  • Support installation, configuration, and maintenance of software environments for AI and medical imaging research.
  • Manage computational workflows, data organization, and storage strategies for large-scale MRI datasets.
  • Provide technical support for researchers using laboratory computing resources.
2. Research Project Support
  • Collaborate with researchers and clinicians on ongoing MRI and AI projects.
  • Assist with preparation of research documentation, technical reports, and publications.
  • Participate in laboratory meetings and contribute to project development.

Qualifications & Skills

Education:

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Biomedical Engineering, Medical Physics, Electrical Engineering, Data Science, or related disciplines. No working experience required.

Skills:

  • Strong programming skills in Python.
  • Experience with deep learning frameworks such as PyTorch or TensorFlow.
  • Familiarity with Linux environments and scientific computing workflows.
  • Experience with Git and software development practices.
  • Excellent communication and teamwork skills.

What We Offer

  • A dynamic and interdisciplinary research environment at the interface of MRI and artificial intelligence.
  • Opportunities to develop expertise in medical AI, computational imaging, and research software development.
  • Access to advanced MRI systems and high-performance computing resources.
  • Opportunities to contribute to high-impact research publications and international conferences.
  • Competitive salary commensurate with qualifications and experience, with medical and dental benefits.

Advertised: Oct 12, 2026 (HK Time)
Applications close: Nov 30, 2026 (HK Time)

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