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Sheheryar Khan

Top university

10 months ago

Research Assistant in Medical AI, Multimodal 3D MRI Analysis, and Vision-Language Models The Hong Kong Polytechnic University in Hong Kong

Degree Level

not provided

Field of study

Computer Science

Funding

The position is funded by the Research Grants Council (RGC) and offers the opportunity to work on impactful research with mentorship, leading to publications and prototypes. Specific stipend or salary details are not provided.

Deadline

Expired

Country flag

Country

Hong Kong

University

The Hong Kong Polytechnic University

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Keywords

Computer Science
Biomedical Engineering
Medical Imaging
Radiomics
Medical Science
Causal Inference
Multimodal Analysis
Explainability
Knowledge Distillation

About this position

The Hong Kong Polytechnic University is seeking a Research Assistant to join an RGC-funded project focused on developing a knowledge-driven multimodal framework for 3D MRI analysis and interpretation. The project aims to ground visual language models (VLMs) for diagnostic reasoning, integrating medical imaging, vision-language models, and explainable AI to build an end-to-end, clinically meaningful system.

As a Research Assistant, you will work on developing a VLM-based MRI Q&A system that incorporates knowledge distillation, 3D segmentation, and radiomics grounding. The role involves aligning pixel-level signals with high-level reasoning through zero-shot and fine-tuning approaches. You will design grounding components for precise 3D segmentation and radiomics, integrate knowledge graphs and causal reasoning for explainable medical Q&A, and validate both public and proprietary datasets to improve segmentation, grounding, and reasoning. The position offers the opportunity to deliver interpretable, clinically actionable insights and contribute to broader research tasks as needed.

Applicants should have a bachelor's degree (or equivalent), preferably a master's degree, in computer science, artificial intelligence, machine learning, or related fields. Strong foundations in probability, linear algebra, and optimization are required, along with experience in medical image analysis. Hands-on experience with knowledge distillation, vision-language models, and causal or structured reasoning is essential. Proficiency in Python and modern machine learning frameworks, familiarity with imaging libraries, a demonstrated publication record, strong data curation and validation experience, and excellent written and spoken English are also required.

This position offers impactful research opportunities that connect MRI signals to reasoning for clinical decision support, growth in 3D medical imaging and multimodal explainable AI, and close mentorship with an active research team. The role is funded by the Research Grants Council (RGC), and successful candidates will have the chance to contribute to publications and prototypes. For more information or to apply, contact Dr. Sheheryar Khan at [email protected].

Funding details

The position is funded by the Research Grants Council (RGC) and offers the opportunity to work on impactful research with mentorship, leading to publications and prototypes. Specific stipend or salary details are not provided.

What's required

Applicants must have a bachelor's degree (or equivalent), preferably a master's degree, in computer science, artificial intelligence, machine learning, or related fields. Strong foundations in probability, linear algebra, and optimization are required. Experience in medical image analysis is preferred. Candidates should have hands-on experience with knowledge distillation, vision-language models, and causal or structured reasoning, as well as proficiency in Python and modern machine learning frameworks. Familiarity with imaging libraries, a demonstrated publication record in peer-reviewed venues, strong data curation and validation experience, and excellent written and spoken English are also required.

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Country flag

Hong Kong

Research Interests

Medical Imaging

Radiology

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Musculoskeletal Imaging