Research Fellow (Machine/Deep Learning for Earth Observation)

Updated: 14 days ago
Location: Kent Ridge,


Job Description

For a research project in the area of fusion of synthetic aperture radar (SAR) and optical images and project in the area of SAR remote sensing, we are looking for a research fellow in the area of machine learning (ML)/deep learning (DL).

 

The applicant must be well-versed in the necessary ML/DL tools and techniques with an application in remote sensing/earth observation.

 

It is required that the applicant attaches a concise research portfolio to the resume to showcase research work as well as a copy of relevant research publications.


Qualifications

•    Possess or about to receive a PhD in the area of ML/DL.
•    Experience in the application of ML/DL to remote sensing.
•    Able to work independently and in a team.
•    Open to fixed-term contract.


More Information

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department : Electrical and Computer Engineering

Employee Referral Eligible: No

Job requisition ID : 25036




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