NAAMII Call for Research Assistants at TOGAI (Transforming Global Health with AI) Lab 2025
- Post by: Naamii
- April 22, 2025
- No Comment
Position: Research Assistant (Paid Position), Full time
Application Deadline: On a rolling basis till April 30th, 2025
Categories: Vacancies
Researching Global Health Problems especially in Medical Image Analysis
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 TOGAI 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 track records on working in 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 codevelop methods that solve medical image analysis problems, implement state-of-the-art methods in machine learning and evaluate their performance, 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 algorithmic and underlying mathematics (Probability and 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:
- Show a 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, build critical thinking and output high quality publishable works
- 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 using this link https://app.tangible.careers/role/41afe207-93cc-483a-acba-a6aebea48d72 by April 30, 2025. Selected shortlisted participants will be notified via the platform itself by May 1st Week.
Note: Please vet for your competencies via the tangible platform in the required domain by uploading evidence examples to show that you have clear understanding of the fundamentals. See the hiring assessment evaluation for the rubric and evidence examples. Please understand that the “Evidence Examples” are just examples and do not have to be exactly that but can also be similar other work or content they you have done but can justify their level of competency for the given rubric.
Fresh pass-out (or students in the process of completing final semester) with good foundation in Linear Algebra, Underlying Machine Learning Algorithms and Frameworks/Tools are strongly encouraged to apply. A firm 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.