COMPANY DESCRIPTION
Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together – building a strong collegiality and morale within the university.
Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities – all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.
RESPONSIBILITIES
- Conducting research on the SAR image detection and semantic segmentation prototypical systems.
- Research on tackling the research problems of SAR image recognition.
- Develop the state-of-the-art algorithms of SAR object detection and segmentation and publish research papers.
- Implement the systematical toolbox of SAR object detection and segmentation.
- Participate the 6-monthly meeting with DSO collaborators.
- Demonstrate and visualize the research results to DSO collaborators.
- Minimum PhD in Computer Science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning.
- Minimum 3 years of relevant research experience in computer vision and machine learning.
- Proficiency in programming languages such as Python and C++ will be positively considered/ is required.
- Demonstrated experience and know-how on training deep learning models.
- Experience with at least one programming software, such as Pytorch, or Tensorflow is preferred.
- Excellent working knowledge of deep learning methods.
- Good analytical, technical and problem solving skills.
- Applicants with research publications in computer vision area will be advantageous.
- Self-motivated individual who can work independently and also collaboratively with team members.
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Please note that your application will be sent to and reviewed by the direct employer - Singapore Management University