Research Associate (Computer Vision)

Research Associate (Computer Vision)

Nanyang Technological University
2-5 years
Not Specified

Job Description


Job Description :

School of Computer Science and Engineering (SCSE) invites applications for the position of Research Associate.
Key Responsibilities:

  • Development of graph-based reasoning networks for facial landmark detection.

  • Development of spatial temporal graph-based reasoning network to improve the accuracy of video facial landmark detection.

  • Development of stabilization methods for video facial landmark detection.

  • Development of graph neural network theory.

  • Development of sequence modeling theory.

  • Development of deep learning methods and theory.

  • Development of computer vision methods

Job Requirements:

  • Master degree or above in Computer Science/Engineering, or Electrical/Electronic Engineering.

  • Strong mathematical background and related project experience

  • Top-tier AI venue publications are very much preferred

  • Minimum 2 years of related work experience

  • Deep understanding of the theory of Machine Learning, Deep Learning, Computer Vision

  • Experience 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 advantage

  • Good written and oral communication skills


We regret that only shortlisted candidates will be notified.Hiring Institution: NTU
In line with Singapore's nationwide Vaccination-Differentiated Safe Management Measures (VDS), employees must be fully vaccinated to return to the workplace, unless certified to be medically ineligible. For Information on VDS, please click .

Job Details

Employment Types:

Industry:

Other

Function:

IT

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 (ERI@N). 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 About NIE About RSIS About LKCMedicine About NTUItive

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