Please Note
- An estimate based on public data for similar roles. Not provided by the employer.
Research Fellow (Signal Processing and Machine Learning)
Role summary
Written by MyIslandJob from the job title and employer. See the employer's page for the full description.
The Research Fellow will conduct research in signal processing and machine learning, contributing to projects, experiments, data analysis, publications, and technical reports. Candidates are generally expected to hold a PhD in electrical engineering, computer science, signal processing, machine learning, or a related discipline, with strong programming skills in Python, MATLAB, or similar tools. Experience with statistical modelling, deep learning, algorithm development, and research publication is highly desirable. The role requires independent problem-solving, careful documentation, effective collaboration with academic and industry partners, and the ability to communicate findings clearly. Candidates should demonstrate initiative, strong analytical ability, and a commitment to producing high-quality research.
Can I work in Singapore?
Never pay anyone for a visa or a job offer. A real employer pays the permit costs and never asks you for money.
How it works
How it works: Employment Pass: SGD 5,600+ a month at 23 (6,000 from January 2027), more with age, plus 40 COMPASS points; a degree from a top-tier university scores 20 of them.
Before you apply: Schools want a degree and often a teaching qualification, and some places license teachers before you can teach: schools maintained by councils in England, and schools in Hong Kong, New Zealand and Thailand. Ask which licence your post needs.
Watch for: The post is usually advertised to locals for 14 days first; teacher aides and infant caregivers in licensed childcare centres are on the Work Permit list for South Asians and Filipinos since September 2026.
Official source: Ministry of Manpower: COMPASS points framework. Checked November 2026.
What the job usually comes with in Singapore
Usual for Education jobs in Singapore, varies by employer. Checked November 2026.
| Housing | Not usual; senior expats may get an allowance; Work Permit staff: employer must ensure proper housing (by law) |
|---|---|
| Relocation | Work Permit staff: employer pays levy, bond and insurance (by law); relocation help is an expat perk |
| Flights | Work Permit staff: flight home paid by the employer (by law); others only if the offer says so |
| Contract | Work Permit up to 2 years; S Pass and Employment Pass up to 2, then 3; notice 1 day to 4 weeks by default |
| Leave | 7 to 14 days (by law; many get more); 11 public holidays; 14 days' sick leave, 60 in hospital |
| Income tax | 0% up to SGD 20,000 a year, then 2% to 24% (about 3% at SGD 60,000); resident rates on a 1-year pass |
| Health cover | Employer must insure Work Permit and S Pass staff, SGD 60,000 a year (by law); Employment Pass: company plan |
Senior staff often get more than line staff, for example a single room or a yearly home flight. Ask the employer what the job includes before you accept.
Guidance, not legal advice. Rules change; your employer confirms the details for your case.
About Nanyang Technological University
Nanyang Technological University (NTU) is a major research-intensive university in Singapore, recognised internationally for engineering, technology, science, business, education, and interdisciplinary research. Its main campus is located in the western part of Singapore and includes extensive laboratories, research centres, academic facilities, and residential communities. NTU works closely with government agencies, global universities, and industry partners on areas such as artificial intelligence, advanced manufacturing, sustainability, biomedical sciences, communications, and digital technologies. The university employs faculty members, researchers, professional staff, and technical specialists from around the world. Research Fellows at NTU typically join project-based teams, work under academic supervisors, publish findings, and contribute to externally funded research programmes.