Student Trainee Opportunity: The A² Project – Physical AI Lab at NAAMII

A2 Innovation Lab; On; Sur place; EUR 2 000 - 3 000; Plein temps

Avantages offerts par ce poste

Mentorship from experiencedResearchers

Opportunity to work on cutting-edge AI

Skill development through close指导

Résumé du poste

TOGAI Lab (Transforming Global Health with AI) at NAAMII invites fresh graduates or applicants with research experience to work in Kathmandu on medical image analysis using AI. You will learn directly from the Research Director Bishesh Khanal, tackling problems in low-resource settings and applying state-of-the-art methods to real-world health data.

You will contribute to disease diagnosis, medical image segmentation and vision-language tasks, with opportunities to publish and grow through

Qualifications

• 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

Responsabilités

• Apply and co-develop methods for medical image analysis
• Implement state-of-the-art machine learning methods
• Evaluate performance and critically assess the literature
• Work directly with Research Director Bishesh Khanal, learning and applying AI in low-resource settings

Connaissances

Machine Learning foundations

Python programming

PyTorch

Scikit-learn

Communication & teamwork

Formation

Bachelors in Computer Science / Engineering

Outils

PyTorch

Scikit-learn

Description du poste

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

NAAMII is committed to creating an inclusive learning environment and encourages applications from diverse backgrounds and perspectives.