Join VietMed – Collaboration & Research Guide

Join VietMed Research Team

VietMed is an academic research group focusing on Large Language Models (LLMs), Vision-Language Models (VLMs), and medical imaging AI for real-world healthcare applications.

We welcome motivated students, researchers, and collaborators who are passionate about applying AI to medicine, especially in areas such as Alzheimer’s disease and lung-related conditions.

Who can apply

We accept:

• Undergraduate students (research assistants, interns)
• Master’s students (thesis-based research)
• PhD candidates
• Visiting scholars
• Engineers or clinicians with AI interests

Preferred backgrounds:

• Machine Learning / Deep Learning
• Computer Vision / NLP
• Biomedical Engineering
• Data Science
• Medicine or Healthcare

Requirements

Applicants should:

• Have strong programming skills (Python / PyTorch)
• Understand basic ML/DL concepts
• Be able to read research papers in English
• Be proactive and self-driven
• Be committed to research ethics and reproducibility

How to apply

Please email us with:

1. CV or resume
2. Academic transcript (if student)
3. GitHub or portfolio (if available)
4. Short statement of interest (why VietMed + research goals)

Send to: contact@vietmed.org

Selected candidates will be invited for a short interview or technical discussion.

Collaboration & Partnerships

We actively collaborate with:

• Universities
• Hospitals and clinicians
• Research labs
• Industry partners
• International institutions (including :contentReference[oaicite:1]{index=1} and other global universities)

Types of collaboration

• Joint research projects
• Dataset sharing
• Clinical validation studies
• Student exchange or co-supervision
• Grant proposals
• Industry deployment of AI systems

If you are interested in collaborating, please contact us with:

• Organization information
• Project idea or proposal
• Expected timeline
• Available resources or datasets

We aim to build long-term and impactful research partnerships.

Participate in Research Projects

Team members typically work on:

• Medical image classification & segmentation
• Radiology report generation
• Multimodal LLM/VLM systems
• Clinical decision support tools
• Self-supervised learning for small medical datasets
• Trustworthy and explainable AI

Typical workflow

1. Literature review
2. Problem formulation
3. Dataset preparation
4. Model development
5. Experiments & evaluation
6. Paper writing and publication

Students are encouraged to contribute to both engineering implementation and academic publications.

How to Write an AI Research Paper

Publishing is a core part of our research culture. Below is a general guideline for writing a high-quality AI paper.

Step 1 – Identify a clear problem

• Define a real medical need
• Explain why existing methods are insufficient
• State your contributions clearly

Step 2 – Review related work

• Summarize prior methods
• Compare strengths and weaknesses
• Position your work in the literature

Step 3 – Methodology

• Describe datasets
• Explain model architecture
• Provide training details
• Ensure reproducibility

Step 4 – Experiments

• Use proper baselines
• Report quantitative metrics
• Perform ablation studies
• Include clinical or practical insights

Step 5 – Discussion

• Interpret results
• Explain limitations
• Suggest future work
• Consider ethical implications

Step 6 – Writing tips

• Be concise and clear
• Use figures and diagrams
• Avoid unnecessary complexity
• Follow conference/journal templates
• Share code for reproducibility

Common venues include top AI and medical imaging conferences and journals.

Contact

For any inquiries regarding:

• Joining VietMed
• Research collaboration
• Internship opportunities
• Paper co-authorship
• Project proposals

Email: contact@vietmed.org

We are always excited to work with passionate researchers who want to build AI for better medicine.