Research Fellow (Computer Engineering/Computer Science/Electronics Engineering)
Nanyang Technological University Singapore
Singapore · Full Time
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- Experience
- Any
- Salary
- —
- Openings
- 1
- Posted
- 1 week ago
- Work mode
- In office
- Education
- PhD
- Resume
- Required to apply
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Job description
About Nanyang Technological University
Nanyang Technological University (NTU) in Singapore is a globally recognized, research-intensive university ranked among the world's top institutions. Its College of Computing and Data Science (CCDS) is renowned for an exceptional curriculum, influential research contributions, and internationally distinguished faculty. The College is dedicated to nurturing future leaders, intellectuals, and innovators prepared for challenges within the digital era, particularly in AI, Data Science, and Computing. Situated strategically in Asia, NTU offers an inspiring environment for academic growth and advancement.
Key Responsibilities
- Conducting independent research focused on generative modeling, especially using flow matching and related methodologies.
- Producing scholarly publications in leading journals and conferences.
- Providing guidance and support to students participating in the project.
- Collaborating effectively with partners from industry and academia.
- Undertaking additional tasks essential to the research program.
Job Requirements
- Possession of a PhD or equivalent qualification in Computer Engineering, Computer Science, Electronics Engineering, or a closely related field is preferred.
- Demonstrates independence, keen analytical ability, proactivity, and strong teamwork skills.
- Exhibits excellent communication skills in both verbal and written forms.
- Possesses deep expertise relevant to the project domain.
- Proven track record of conducting innovative research projects.
- Capable of adapting and integrating new ideas and approaches within scientific industries.
- Skilled in formulating hypotheses and designing effective experimental strategies.
- Experience in designing and implementing novel experimental techniques.
- High proficiency in required experimental or modeling methods.
- Capability to initiate collaborative research efforts in multidisciplinary teams.
- Responsible for monitoring and reporting on project progress.
- Willingness and ability to work flexible hours as needed.
Additional Information
Only shortlisted applicants will be contacted for further process.
Minimum education
Doctorate
Industry
Higher Education