Job Description :

Research Assistant II in theLaboratory of Biomedical Imaging and Signal Processing () 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.

How to Apply

The University only accepts online application for the above post. Applicants should apply online and upload an up-to-date C.V. Review of applications will commence as soon as possible and continue until 3O November,2026, or until the post is filled, whichever is earlier.

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