Position: Research Assistant (Paid Position), Full time
Application Deadline: On a rolling basis till April 30th, 2025
Categories: Vacancies
TOGAI Lab (Transforming Global Health with AI) at NAAMII is seeking highly motivated fresh pass-out students or applicants with some research experience to work at TOGAI Lab in Kathmandu. As part of the lab, you will have the opportunity to work directly with our Research Director Bishesh Khanal, learning and applying AI in low-resource settings and tackling problems specific to countries like Nepal.
TOGAI Lab has a track record of cutting-edge research on topics such as Disease Diagnosis, Medical Image Segmentation, Vision-Language Models, etc., with high-quality publications at top-tier conferences and journals. This unique opportunity offers a chance to apply and co-develop methods for medical image analysis, implement state-of-the-art machine learning methods, evaluate their performance, and critically assess the literature.
Eligibility Criteria:
- Currently completed (or awaiting thesis defense) final year in Undergraduate degree in Computer Science / Engineering, or related fields
- Strong foundational knowledge in Machine Learning and its mathematics (Probability & Statistics, Calculus, Linear Algebra)
- Familiarity with programming languages such as Python, and frameworks like PyTorch, Scikit
- Keen interest in research and self-motivated
- Good communication and teamwork abilities
Preferred Qualifications:
- Good low-level understanding and algorithmic details of technical topics you have worked on
- Track record in implementation of algorithms beyond calling library APIs, understanding of clean code practices and testing
- Prior experience in projects related to Computer Vision or Medical Imaging is a plus
Benefits:
- Opportunity to work on cutting-edge research projects and build critical thinking skills
- Mentorship from experienced researchers and industry professionals
- Skill development through close mentorship and supervision
How to Apply:
Please apply online via the tangible.careers platform by April 30, 2025. Selected participants will be notified via the platform by May 1st Week.
Note: Please vet your competencies via the tangible platform by uploading evidence examples to demonstrate your understanding of the fundamentals. Evidence examples are flexible and can include similar work you have done.
Fresh pass-outs or students completing their final semester with a good foundation in Linear Algebra, Machine Learning algorithms, and frameworks/tools are strongly encouraged to apply. A commitment to adapt, acquire new skillsets, and self-motivated learning is required.
For more information, contact: [email protected]
NAAMII is committed to creating an inclusive learning environment and encourages applications from diverse backgrounds and perspectives.