Research Fellow

4 weeks ago

Singapur, Singapore Nanyang Technological University Full time

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

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