Job Description
We are looking for Senior Research Fellow who has experience to perform research related to advanced memories for the implementation of artificial neural network (ANN) hardware for in-memory computing applications.
The candidate is expected to: -
- Develop research program centred on materials, device fabrication, circuit designs for neural network hardware accelerator integrated with two-dimensional transition metal dichalcogenides (2D-TMD)
- Report experimental results to the Principal Investigator
- Publish papers in reputable journals/conferences
- Assist in preparing progress reports and research proposals
Qualifications
- Possess a recognised PhD degree in Electrical/Electronic, Physics or Materials Engineering
- He/she should ideally have a proven track record of publications in leading journals.
- Strong written and oral communication and presentation skills.
- Relevant experience (>5 years) in the field of CMOS nano-electronic devices and nano-fabrication technology.
- Possess excellent communication and interpersonal skills to work with various stakeholders.
- 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 : 7526
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