Full Time Research Assistant Jobs, in University Of Nottingham Malaysia Selangor - Maukerja

About the Role

The School of Computer & Mathematical Sciences at the University of Nottingham Malaysia invites applications from highly motivated undergraduate students for a Research Assistant position.

This is an exciting opportunity to contribute to an interdisciplinary project that combines Artificial Intelligence (AI), Educational Technology, Human-Centred Computing, and Software Engineering to develop an intelligent, context-responsive, evidence-based training and monitoring system.

The successful candidate will work closely with academic researchers and industry collaborators, gaining valuable experience in AI research, software development, and educational technologies

Research Areas

Candidates with an interest or background in one or more of the following areas are encouraged to apply:

• Artificial Intelligence (AI)
• Machine Learning
• Learning Analytics
• Software Engineering
• Human–Computer Interaction (HCI)
• Explainable AI (XAI)
• Generative AI
• Knowledge Representation and Reasoning
• Information Visualisation
• Educational Technology

Candidate Profile

Applicants should:

• Hold, or expect to graduate soon with, an undergraduate degree (or equivalent qualification) in a relevant discipline, such as Computer Science, Computer Science with Artificial Intelligence, Software Engineering, Mathematics and Data Science, or a closely related field.
• Demonstrate strong analytical, critical thinking, and problem-solving skills.
• Possess good programming skills (e.g., Python, Java, JavaScript, or other relevant languages). Experience with web development, databases, or cloud technologies as desirable skills with software development frameworks or AI libraries as an added advantage.

·       Be enthusiastic about AI-driven educational technologies, intelligent systems, or learning analytics as well as applying innovative approaches to solve real-world challenges.

• Be self-motivated, eager to learn new technologies, and able to work both independently and collaboratively within a multidisciplinary team.
• Demonstrate effective written and verbal communication skills.

·       Be physically located within the Klang Valley.

Project

The successful candidate will join an interdisciplinary team developing a context-responsive, evidence-based training and monitoring system for Ibupreneur Academy, in collaboration with the University of Nottingham Malaysia.

The project aims to leverage AI and learning analytics to create an adaptive digital learning platform that supports the delivery of personalised training, monitor learner progress, and support evidence-based decision-making.

Key Responsibilities

The Research Assistant will support the team by:

·       Designing and developing AI-enabled software components.

·       Developing and testing features for a web-based Learning Management System (LMS).

·       Collecting, cleaning, and analysing research and learner data.

·       Supporting the implementation and evaluation of AI and learning analytics models.

·       Developing dashboards and visualisations for learner monitoring.

·       Leading project meetings and preparing technical documentation and reports.

·       Leading with system testing, validation, and user evaluation.

Expected Deliverable

The primary outcome of the project is the design, development, and evaluation of a fully functional AI-enabled Learning Management System (LMS) that supports adaptive learning, learner monitoring, and evidence-based training.

What You Will Gain

This position offers an excellent opportunity to:

·       Gain hands-on experience in applied AI and software engineering project.

·       Work with academics and industry collaborators on a real-world project.

·       Build practical skills in machine learning, educational technology, and full-stack software development.

·       Strengthen your professional portfolio in preparation for postgraduate study or a career in AI, software engineering, data science, or educational technology.

·       Contribute to the development of innovative technologies with real societal impact.

Appointment Details

Position: Research Assistant

Location: Kuala Lumpur

Duration: Fixed-term appointment (duration: 12 months)

Start Date: 14^th September 2026 

Working Hours: Negotiable upon appointment

Remuneration: A recent or fresh graduate salary 

Main Dates

• Closing date: 28^th August 2026 
• Interview date: w/c 7 September 2026 

How To Apply

If you are interested, please submit your resume and a cover letter before the closing date.

Only shortlisted candidates will be contacted for an interview.

Informal Inquiries

You may direct informal inquiries to Dr Tissa Chandesa at: *************