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Research Engineer, Scis

3 weeks ago


Singapore Singapore Management University Full time

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.

DESIGNATION : Research Engineer (11-month contract), SCIS

RESPONSIBILITIES
- 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

QUALIFICATIONS
- Minimum Master’s degree 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