KHALIFA UNIVERSITY

Research Assistant, ICT Fund

Location
Abu Dhabi, United Arab Emirates
Posted
08 Jun 2018
End of advertisement period
06 Jul 2018
Ref
IRC18852
Contract Type
Permanent
Hours
Full Time

Location

AE      

Organization Name

Electrical and Computer Engineering      

About University          

The newly-established Khalifa University of Science and Technology combines The Masdar Institute of Science and Technology, Khalifa University of Science, Technology and Research and The Petroleum Institute into one world-class, research-intensive institution, seamlessly integrating research and education to produce world leaders and critical thinkers in applied science and engineering. Khalifa University of Science and Technology endeavors to be a leader among research intensive universities of the 21st century, while catalyzing the growth of Abu Dhabi and the UAE’s rapidly developing knowledge economy.

Brief Description          

We are seeking two talented research assistants to participate in a project to develop novel complex-valued deep neural network architectures for use in image classification and melanoma detection. The focus is on developing cutting-edge technologies that improve current state-of-the-art.

Detailed Description          

  • To provide high quality research support and undertake internationally competitive research aimed at publication thereby contributing to the academic and research mission of the University.
  • Ability to present research plans and findings in a convincing style, both in oral and written modes of communication.

Job Requirements          

  • M.S. in electrical and computer engineering, computer science, computer vision, deep learning or a related field
  • Proficient in programming language like Python and Matlab.
  • Familiar with popular deep learning libraries like Tensorflow, Pytorch, Keras and Caffe;
  • Excellent in problem solving.
  • Excellent knowledge of spoken and written English

How To Apply          

Note: You will be required to attach the following: 1. Resume/CV 2. Passport-size photograph

Vacancy Type

Research

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