Research Assistant

• Having the basic skills of networking.
• A first degree or Master's degree obtained in Computer Science, Software Engineering, IT or another related field.
• Having more than two years' experience and knowledge in the field of computer vision, deep learning or artificial intelligence.
• Having practical experience in data labelling, preparing datasets and training models.
• Being proficient in Python. Knowledge of C++ would be an added advantage.
• Ability to work 20 hours per week (at most 5 days a week, 4 hours a day).
• Having good research and analytical skills.
• Ability to work individually and as part of a team.

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• Carrying out the ongoing research work of the project
• Collecting data, organising that data, and labelling data manually and automatically
• Building and strengthening machine learning and deep learning models, in addition to training them and evaluating their quality, so that the most desired results can be produced from those models.
• Building computer vision models, using them practically and experimenting in various ways, in addition to researching and evaluating the quality of those items.
• Understanding Python coding. Those who know C++ in addition will be given preference.
• Maintaining the network, carrying out training sessions and performing network validation work.
• Preparing literature reviews and developing methods to be researched.
• Preparing research papers, technical reports and other written documents.
• Working together with relevant parties, councils and external partners.
• Visiting sites and gathering information from field work.
• Keeping orderly records of datasets and the experiments carried out.
• Collaborating with the members of the research team.
• Carrying out additional research-related tasks to the extent assigned.

• Clear copy of an identity card showing Maldivian citizenship that has not expired (the original certified as a true copy by an official body or by a legal practitioner's office, with the stamp affixed)
• Copies of obtained academic certificates and transcripts (certified as a true copy by an official body or by a legal practitioner's office, with the stamp affixed, for documents that are accredited)
• Address of the applicant for the post (with contact phone number)
• Job reference letters
• Recommendation letters or supporting letters (optional)

By email to Maldives National University / Faculty of Engineering, Science and Technology, Sosun Gey, Sosunmagu, Malé, before 12:00 noon on Thursday, 22 September 2026

((mailto:[email protected]

• To clarify information, please contact telephone number 3345434.
• All documents listed in the announcement must be submitted by email.
• Interviews will be conducted with candidates shortlisted from those who meet the requirements of the post stated in the announcement.