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Research Assistant [R00008286]

Job LocationSingapore
EducationNot Mentioned
SalaryNot Disclosed
IndustryEducation
Functional AreaNot Mentioned
EmploymentTypeFull-time

Job Description

The School of Computer Science and Engineering (SCSE) invites applications for the position of Research Assistant.Key Responsibilities:Development of graph-based reasoning networks for facial landmark detectionDevelopment of spatial temporal graph-based reasoning network to improve the accuracy of video facial landmark detectionDevelopment of stabilization methods for video facial landmark detectionDevelopment of graph neural network theoryDevelopment of sequence modeling theoryDevelopment of deep learning methods and theoryDevelopment of computer vision methods​Job Requirements:​Bachelor degree or above in Computer Science/Engineering, or Electrical/Electronic EngineeringStrong mathematical background and related project experienceTop-tier AI venue publications are very much preferredMinimum 2 years of related work experienceDeep understanding of the theory of Machine Learning, Deep Learning, Computer VisionExperience in at least one Deep Learning framework such as Tensorflow, Pytorch and Programming Languages such as Python, Matlab, R and/or C/C++Demonstrated project experience related to graph-based reasoning and facial landmark detection will be an advantageGood written and oral communication skillsWe regret that only shortlisted candidates will be notified.

About Company

About Nanyang Technological University, Singapore
A research-intensive public university, Nanyang Technological University, Singapore (NTU Singapore) has 33,000 undergraduate and postgraduate students in the Engineering, Business, Science, Humanities, Arts, & Social Sciences, and Graduate colleges. It also has a medical school, the Lee Kong Chian School of Medicine, established jointly with Imperial College London.
NTU is also home to world-class autonomous institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering – and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU ([email protected]).
Ranked amongst the world’s top universities by QS, NTU has also been named the world’s top young university for the past seven years. The University’s main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark-certified (equivalent to LEED-certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore’s healthcare district.
Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources.
For more information, visit www.ntu.edu.sg

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