Research Fellow, Efficient Machine Learning
- Employer
- NATIONAL UNIVERSITY OF SINGAPORE
- Location
- Singapore
- Closing date
- 9 Feb 2022
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- Academic Discipline
- Computer Science, Engineering & Technology, General Engineering, Electrical & Electronic Engineering
- Job Type
- Academic Posts, Research Fellowships
- Contract Type
- Fixed Term
- Hours
- Full Time
Job Description
We have an available Research Fellow position. The hiring would be reporting to Assistant Professor Wang Xinchao, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS). The Research Fellow will work closely with the Principal Investigator (PI) on one or more research projects. The candidate will join the research team in the areas of efficient machine learning.
The successful candidate is required to:
- To develop networks with small sizes applicable to edge devices.
- To conduct research on network architecture analysis and develop efficient and effective network structures.
- To advance the knowledge, to publish in leading journals and conferences.
- To prepare and meet the project deliveries and milestones.
Qualifications
- Possess a recognised PhD - Electrical Engineering, Computer Science or Computer Engineering equivalent
- Strong programming skills in one of the programming languages: C / C++, Matlab, Python
- Have prior project related experience
- Good team player and be able to work independently.
- Strong organizational, writing and interpersonal communications.
- Meticulous, able to work well under pressure and commitment to meet tight deadlines
- Open to fixed-term contract.
More Information
Location: Kent Ridge Campus
Organization: Engineering
Department : Electrical And Computer Engineering
Employee Referral Eligible: No
Job requisition ID : 10380
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