Research Fellow (machine Learning/image Processing)
Job Description
We welcome applications for a Research Fellow position in AI/Machine Learning at the School of Mechanical and Aerospace Engineering (MAE), NTU, Singapore. The appointment is full-time and is funded for 2 years. The selected candidate will join a vibrant and dynamic research group, equipped with state-of-the-art facilities.
Key Responsibilities:
Lead the development of a vision-based object detection/tracking module for applications in Space Situational Awareness.
Involve image processing/enhancement, learning-based algorithm design, and experimental validation.
Job Requirements:
A PhD Degree in Computer Science, Aerospace Engineering, Mechanical Engineering, etc.
Strong background in deep learning, machine learning, and/or image processing.
Candidates having relevant space-based research that includes orbit determination/propagation will be preferred.
Good communications skills and the ability to work independently and facilitate projects with minimal supervision.
Able to contribute to Journal/Conference papers with good presentation skills.
Able to plan and organize well and adhere to deadlines
We regret that only shortlisted candidates will be notified.
Hiring Institution: NTU
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Job Detail
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Job IdJD1345344
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IndustryNot mentioned
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Total Positions1
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Job Type:Full Time
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Salary:Not mentioned
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Employment StatusPermanent
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Job LocationSingapore, Singapore
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EducationNot mentioned