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Vicky

2 months ago

Graduate Research Assistant (MSc) in Machine Learning for Ergonomics and Occupational Health Universiti Sains Malaysia in Malaysia

Degree Level

Master's

Field of study

Computer Science

Funding

Full funding available

Deadline

December 31, 2026
Country flag

Country

Malaysia

University

Universiti Sains Malaysia (USM)

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Keywords

Computer Science
Data Science
Occupational Health
Ergonomics
Medical Science
Salud Pública
Web Development
Musculoskeletal Pain
Statistics
Machine learning

About this position

Universiti Sains Malaysia (USM) Health Campus is inviting applications for a Graduate Research Assistant (GRA) position under the FRGS 2025-1 funded project titled "Elucidating Work-Related Musculoskeletal Disorders Using Machine Learning Approach and Risk Prediction Among Food Delivery Riders in Kelantan." This research integrates ergonomics assessment, advanced machine learning modeling, and the development of a web-based risk prediction tool, focusing on occupational health and safety among food delivery riders.

The successful candidate will be involved in field data collection, statistical and machine learning analysis, prediction model development, and web-based application development. The project offers a unique opportunity to gain hands-on research experience in data science, ergonomics, and public health, with the potential for publications and a postgraduate study pathway (MSc).

Applicants should hold a Bachelor's degree in Data Science, Statistics, Computer Science, Software Engineering, Ergonomics, Occupational Safety & Health, or a related field, with a minimum CGPA of 3.0. Essential skills include basic programming or statistical analysis (R/Python/SPSS), strong communication and academic writing, and the motivation to conduct independent fieldwork. The position is open to Malaysian applicants only.

The GRA position is fully funded for two years, providing a monthly stipend, research training, and opportunities for academic publication. Tuition coverage is not specified. Interested candidates should submit their CV to [email protected]. For more information, refer to the LinkedIn announcement or contact the supervisor directly.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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