Science jobs in Malé
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Pay shown on every one- Research AssistantFaculty of Engineering, Science and Technology, Maldives National UniversityMVR 5,000/monthSix-month contract research assistant post for a project at the Faculty of Engineering, Science and Technology, Maldives National University, in Malé.MaléFull-timeCloses 22 Oct
- Research and Development OfficerMinistry of Climate Change, Environment and EnergyMVR 12,415/monthA permanent position conducting water and sanitation research and studies for the Ministry of Climate Change, Environment and Energy in Malé.MaléFull-timeCloses in 2 days
- Research and Monitoring OfficerMinistry of Climate Change, Environment and EnergyMVR 12,415/monthA permanent research and monitoring officer position for the Water and Sanitation Department at the Ministry of Climate Change, Environment and Energy in Malé, Maldives.MaléFull-timeCloses in 2 days
Research Assistant
Faculty of Engineering, Science and Technology, Maldives National University · MaléAt a glance
- MVR 5,000 per month
- Experienced (2 to 5 years)
The notice gives no schedule or team size.
About the role
- Post
Research Assistant for the Project
- Number of posts
1
- Type and duration
06 months (as a contract post)
- Office
Maldives National University / Faculty of Engineering, Science and Technology
- Working hours
80 hours per month
Education and experience required for the job
- 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.
Responsibilities
- 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.
- Remuneration and benefits
MVR 5000 (five thousand) per month
Documents to submit along with the CV
- 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)
Send the letter to
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]
Further information
- 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.
What you would do
- 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, training them and evaluating their quality
- Building computer vision models, using them practically and experimenting in various ways
- 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.
What they are looking for
- Having the basic skills of networking.
- A first degree or Master's degree in Computer Science, Software Engineering, IT or another related field.
- Having more than two years' experience and knowledge in 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.
How to apply
Closes 22 OctBy email to [email protected], before 12:00 noon on Thursday, 22 September 2026, sending the CV and the documents listed in the announcement, including identity card copy, certified academic certificates and transcripts, address with contact phone number, and job reference letters. Recommendation letters are optional. For clarification, telephone 3345434.
View the original notice (opens Gazette in a new tab)Sosun Gey, Sosunmagu, MaléOn the island; the listing gives no street address
Faculty of Engineering, Science and Technology, Maldives National UniversityView company
ID #4jic50a5z9 · posted 1 day ago · indexed from the Government Gazette