Thank you for being interested in MVAIT. MVAIT welcomes excellent and motivated students, postdocs, software engineers and visiting researchers who are interested in developing software and AI technologies for medicine. You should email the Director of MVAIT and Team MVAIT if you are interested to work on medical AI and software techologies in a dynamic research environment located at Nanyang Technological University (NTU) or Novena in Singapore. Several funding opportunities are available for students and postdocs.
Positions
PhD Students
MVAIT welcomes excellent students with a background in artificial intelligence, computer vision, software engineering, or medicine. Potential students should email the Director of MVAIT and Team MVAIT about the position. You should explain in the email how you can contribute to the research at MVAIT, and include a list of publications or projects (description) which are relevant to the research you want to do.
3 funded PhD positions are now available at the Medical Vision and Artificial Intelligence Technologies (MVAIT) Lab at Nanyang Technological University (NTU), Singapore.
Requirements:
- Trained (preferably M.S.) in Computer Science, Computer Engineering, Electrical Engineering, or associated programs.
- Solid mathematical background
- Strong programming skills such as in Python and C++.
- Proficiency in English
- Experience in medical imaging, video analytics, deep learning, machine learning, or computer vision. Knowledge in language models is a plus.
- Experience in GPU and deep learning programming, i.e. PyTorch and TensorFlow.
- Strong motivation in state-of-the-art research and publication.
Start Date: Jan 2025 Expiration Date: Jul 2024
3 funded PhD positions are now available at the Medical Vision and Artificial Intelligence Technologies (MVAIT) Lab at Nanyang Technological University (NTU), Singapore.
Requirements:
- Trained (preferably M.S.) in Computer Science, Computer Engineering, Electrical Engineering, or associated programs.
- Solid mathematical background
- Strong programming skills such as in Python and C++.
- Proficiency in English
- Experience in deep learning, machine learning, or computer vision. Knowledge in language models is a plus.
- Experience in GPU and deep learning programming, i.e. PyTorch and TensorFlow.
- Strong motivation in state-of-the-art research and publication.
Start Date: Jan, Sep 2025
Students with strong expertise in AI, computer vision and Language Models will be funded to do a PhD at MVAIT. Excellent students can also consider the following funding opportunities and studentships to to do a PhD at MVAIT: N PGS , RSS , ACIS , AGS , SINGA
- Students who have a strong background in AI, ML, data science and computing.
- Students with biomedical expertise who are interested in doing research on AI for medical tasks.
- Students trained in computer vision and NLP.
- Doctoral students from other groups who want to visit MVAIT for research collaboration.
- Stduents who are experienced in the development of health technology and medical devices.
- Students with external funding who are interested in AI and medical projects.
Start Date: Jan, May, Sep 2025
Postdocs
Postdocs at MVAIT should be highly motivated to contribute to the medical AI research community. Potential postdocs should email the Director of MVAIT about the position. You should explain in the email how you can contribute to the research at MVAIT, and include a list of publications. You should give a description of 3 - 5 publications or projects which are most relevant to the research you want to do.
Postdoc positions are now available at the Medical Vision and Artificial Intelligence Technologies (MVAIT) Lab at Nanyang Technological University (NTU), Singapore.
Requirements:
- Trained (PhD) in Computer Science, Computer Engineering, Electrical Engineering, or associated programs.
- Solid mathematical background
- Strong programming skills such as in Python and C++.
- Proficiency in English
- Experience in deep learning, machine learning, or computer vision. Knowledge in language models is a plus.
- Experience in GPU and deep learning programming, i.e. PyTorch and TensorFlow.
- Strong motivation in state-of-the-art research and publication.
Postdocs with strong expertise in Computer Vision, AI and Language models will be funded by MVAIT.
- Researchers from ASEAN countries who are interested to work at MVAIT can be funded by SASEA
- Swedish researchers can email Director of MVAIT for funding opportunities to do a postdoc project at MVAIT.
- Japanese researchers can be funded by JSPS .
- Experienced postocs interested in AI in Health Technology and Biomedical Devices can join MVAIT with the Research fellow funding scheme.
- Excellent postdocs can be funded at MVAIT with the PPF funding.
- Researchers who have a strong background in AI, ML and NLP who are interested to work on biomedical projects.
- Students trained in engineering, natural science and medicine who wants to do a postdoc on AI research at MVAIT should consider the EWSAIS Postdoc . You should email Director of MVAIT if you are interested in doing a EWSAIS project.
- Researchers from ASEAN countries who are interested to work at MVAIT can be funded by SASEA
- Swedish researchers can email Director of MVAIT for funding opportunities to work on AI for Health Technology and Medical Devices projects.
- Japanese researchers can be funded by JSPS .
- Experienced postocs interested in AI in Health Technology and Biomedical Devices can join MVAIT with the Research fellow funding scheme.
- Researchers who are intersted in the use of AI in biological sciences can email Director of MVAIT to discuss possible funding opportunities.
- Excellent postdocs can be funded at MVAIT with the PPF funding.
Research Assistants
Research Assistants should have experienced in one of the areas including AI, computer vision, NLP, robotics, medical devices and software engineering.
Requirements:
- Trained in Computer Science, Computer Engineering, Electrical Engineering, or associated programs.
- Strong programming skills such as in Python and C++.
- Proficiency in English
- Experience in deep learning, machine learning, or computer vision. Knowledge in language models is a plus.
- Experience in GPU and deep learning programming, i.e. PyTorch and TensorFlow.
Software Engineers
Software engineers should have experience in web or software implementation.
- Software engineers should be well-versed in C, Python, Java.
- Software engineers who are interested to collaborate with clinicians
- Expertise including computer vision, AI, NLP and visualization is a plus.
- Software engineers who are interested to set up a medical technology or software company.
Visiting Students
MVAIT welcomes visiting students to collaborate on medical AI projects and publication.
Students can collaborate on exsiting projects or suggest new projects.
Student interns are welcome to collaborate on specific projects. Students who are interested to do a PhD should consider doing an intern at MVAIT.
- Students who are experienced in AI, computer vision or software engineering.
- Students who want to do research with clinicians.
- Students who are interested in software development for medical tasks.
- Engineering students who are interested in the development of health tech and medical devices.
- Students who want to collaborate on medical AI projects.