Research assistant ii (artificial intelligence)
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Role details
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Job description
Research Assistant II in the Laboratory 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.), 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., * 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.
Requirements
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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.
Benefits & conditions
- 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.
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