The Research Fellow will conduct advanced research in computer vision and machine learning, potentially involving deep learning, image and video analysis, 3D vision, robotics, or related areas. Applicants normally require a PhD in computer science, electrical engineering, artificial intelligence, or a closely related discipline, along with strong research publications and programming skills in Python, C++, or similar languages. Experience with frameworks such as PyTorch or TensorFlow, model development, experimentation, and handling large datasets is highly desirable. The candidate is expected to work independently and collaboratively, publish results in leading conferences or journals, contribute to research projects, prepare technical reports, and support grant or project objectives.
Nanyang Technological University (NTU Singapore) is a major research-intensive university located in western Singapore. It is known internationally for work in engineering, computer science, artificial intelligence, materials science, sustainability, medicine, and interdisciplinary research. The university hosts a diverse community of students, academics, researchers, and professional staff from around the world. Its research institutes and laboratories collaborate with government agencies, industry partners, and international universities on applied and fundamental projects. NTU provides a modern campus with advanced research facilities, computing resources, libraries, innovation centres, and extensive academic support. Research Fellows typically join a specific laboratory or externally funded project, working under a principal investigator or research group. The university offers an internationally oriented environment, opportunities for publications and collaboration, and access to Singapore’s strong technology and innovation ecosystem.
Singapore offers strong opportunities in artificial intelligence, data science, engineering, biotechnology, finance, education, healthcare, logistics, and technology startups. The culture is multicultural, efficient, and generally respectful, with English widely used in workplaces. Life is convenient and safe, supported by excellent public transport, modern healthcare, shopping, restaurants, and abundant parks. Housing can be expensive, especially near central areas, so many newcomers consider university accommodation, shared apartments, or locations near MRT lines. Employment Pass or S Pass requirements depend on salary, qualifications, and employer sponsorship; the university normally guides successful international candidates through the process. New arrivals should arrange housing, insurance, banking, and a local phone plan before or soon after arrival. Singapore’s tropical climate is hot and humid year-round, with frequent rain. Its compact size makes beaches, cultural districts, nature reserves, and neighbouring countries accessible for short trips.
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