Research Associate (Object Detection/ Segmentation)

Job Description

This research role focuses on developing object detection and image segmentation methods, likely involving computer vision, deep learning, dataset preparation, model training, evaluation, and technical reporting. Applicants are generally expected to hold a relevant degree in computer science, electrical engineering, robotics, artificial intelligence, or a related discipline, with practical experience in machine learning and computer vision. Familiarity with Python, PyTorch or TensorFlow, OpenCV, Linux, and GPU-based experimentation is advantageous. The candidate should be able to conduct independent research, analyze results carefully, contribute to publications or project deliverables, collaborate with academic and industry partners, and communicate findings clearly. Strong problem-solving skills, research discipline, and the ability to work effectively in a multidisciplinary team are important.

Company Info

Nanyang Technological University (NTU Singapore) is a major research-intensive university located in Singapore. It is internationally recognized for strengths in engineering, computer science, artificial intelligence, business, natural sciences, education, and interdisciplinary research. NTU works closely with government agencies, hospitals, technology companies, and global academic partners on projects addressing areas such as smart cities, sustainability, robotics, advanced materials, and digital transformation. The university provides a diverse environment for researchers, faculty members, students, and professional staff from around the world. Research Associates typically support funded projects, develop experimental or computational solutions, publish results, and collaborate with supervisors and external partners. NTU offers modern laboratories, high-performance computing resources, extensive research networks, and access to Singapore's broader innovation ecosystem. Employment conditions and benefits vary according to the project, appointment level, and university policies.

Destination Guide

Singapore is a compact, highly connected island city with strong opportunities in technology, research, engineering, finance, healthcare, education, logistics, and biotechnology. Its multicultural society blends Chinese, Malay, Indian, and international influences, with English widely used at work and in daily life. The lifestyle is convenient and generally safe, supported by efficient public transport, excellent healthcare, diverse food, shopping, parks, and nearby beaches. Housing can be expensive, especially in central districts, so many newcomers consider shared apartments or locations near MRT lines. International researchers normally need an Employment Pass or another work authorization sponsored by their employer; eligibility depends on salary, qualifications, and prevailing government requirements. New arrivals should arrange a passport, employment documents, housing, health coverage, and a local bank account. Singapore's tropical climate is hot and humid throughout the year, with frequent rain. Regional travel to Malaysia, Indonesia, and other Asian destinations is convenient.