Research Scientist (Computer Science/Artificial Intelligence/Computer Visio at Nanyang Technological University Singapore

, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

14 Jan, 26

Salary

0.0

Posted On

16 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Deep Learning, Data Analysis, AI Models, Gait Analysis, Human Data Mining, Disease Prediction, Person Re-identification, Time-Series Analysis, Spatial-Temporal Data Mining, Healthcare Applications, Collaborative Work, Research Publications, Multi-Disciplinary Teams, Carbon Measurement, Route Optimization, Sustainable Logistics

Industry

Education Administration Programs

Description

Jinan-NTU Green Technology Research Institute (GreenTRI) was established to focus on international collaborations in digital technologies and GreenTech. GreenTRI is looking for a motivated Research Scientist to conduct research and develop AI models leveraging deep learning and data analysis for carbon measurement, route optimization, and sustainable logistics, enabling improved carbon management and forecasting of logistics efficiency. Key Responsibilities: Conduct research on deep learning applications for human gait assessment, disease prediction, and person re-identification. Develop AI models for large-scale human skeleton, video or language data analysis to enhance gait assessment and person re-identification. Apply time-series and spatial-temporal gait data mining to classify and monitor diseases, such as neurodegenerative diseases and diabetic neuropathy, supporting non-invasive and efficient healthcare applications across diverse scenarios. Job Requirements: Ph.D. degree in Computer Science, Artificial Intelligence, Computer Vision, or a related field. Proficient in gait analysis and human data mining, capable of representing, extracting, and interpreting complex data sets for disease prediction and other healthcare applications. Demonstrated strong capacity to work collaboratively within multi-disciplinary teams on projects that emphasize AI for healthcare. Proven experience in high-level research, including publications in top-tier journals and conferences. We regret that only shortlisted candidates will be notified. Hiring Institution: NTU A research-intensive public university, Nanyang Technological University, Singapore (NTU Singapore) has 33,000 undergraduate and postgraduate students in the Engineering, Business, Science, Humanities, Arts, & Social Sciences, and Graduate colleges. It also has a medical school, the Lee Kong Chian School of Medicine, established jointly with Imperial College London. NTU is also home to world-class autonomous institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering – and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU (ERI@N). Ranked amongst the world’s top universities by QS, NTU has also been named the world’s top young university for the past seven years. The University’s main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark-certified (equivalent to LEED-certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore’s healthcare district. Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources. For more information, visit www.ntu.edu.sg About NIE About RSIS About LKCMedicine About NTUItive

Responsibilities

Conduct research on deep learning applications for human gait assessment, disease prediction, and person re-identification. Develop AI models for large-scale human skeleton, video or language data analysis to enhance gait assessment and person re-identification.