We are excited to announce a Research Fellow opportunity at School of Physical and Mathematical Sciences (SPMS) in Nanyang Technological University, Singapore. The Complex Systems Science @ NTU (led by A/Prof Cheong Kang Hao) is looking for passionate individuals to join our research team. We welcome applicants with a doctoral degree (PhD) for the Research Fellow position in various backgrounds such as AI in education, deep learning, educational psychology, computer science and related fields. Join our team on an exciting opportunity to develop a state-of-the-art Adaptive Learning Platform for higher education. This project focuses on leveraging AI to transform the educational experience in key academic areas. Our aim is to create a versatile, AI-driven platform that personalizes learning and adapts to diverse curricular needs. It not only generates unique mathematical problems but auto-grades responses. This initiative holds great potential for scalability and significant impact on student learning outcomes. The successful candidate will be responsible for overseeing the day-to-day operations of this research project. Key Responsibilities: Conduct independent research Handle grant-related administrative tasks (e.g., prepare and amend ethics documents) Conduct literature reviews, and prepare research progress reports and policy reports for stakeholders Supervise and lead a team of full-time and part-time research staff Play a central role in coordinating and running of an educational research project Develop and/or manage data analysis pipelines Coordinate between and liaising with faculty, collaborators, and stakeholders from different disciplines Carry any other duties as required by PI and co-PI(s) Job Requirements: PhD degree in AI in education, deep learning, educational psychology, computer science and related fields Excellent oral and written communication skills with good command of the English language to perform literature reviews and write progress and research reports Knowledge and experience in social science research methodologies Good statistical knowledge and skills, including familiarity with statistical analysis tools (e.g., SPSS and R) Familiar with coding (e.g., in R, MATLAB, Python) Experience with research project management and supervision of research staff and students Excellent organizational skills, project coordination and administration skills (e.g., in data management and storage), and able to work within tight deadlines Good leadership skills Self-directed learner who can effectively picks up relevant skills as needed Self-motivated, able to work independently to collect data, analyse data, and communicate findings Experience with dissemination of research findings (e.g., conference presentations and research reports) and academic publication processes will be preferred Solid understanding and practical experience in machine learning and deep learning techniques, with a focus on implementing and optimizing these technologies Proficient in BERT (Bidirectional Encoder Representations from Transformers), demonstrating a strong grasp of its applications and functionalities We regret to inform 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