KHALIFA UNIVERSITY

Postdoctoral Fellow in Electrical and Computer Engineering

Location
Abu Dhabi, United Arab Emirates
Posted
08 Jun 2018
End of advertisement period
06 Jul 2018
Ref
IRC18850
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          

  • 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.
  •  Since the Postdoctoral experience is transitional to becoming an independent researcher or faculty member, the Postdoctoral tries their best to acquire the varied skills necessary to advance their career with guidance from the advisor. These skills include, but are not limited to, the ability to present research plans and findings in a convincing style, both in oral and written modes of communication, the ability to understand research group management and supervision of others, the ability to establish contacts and network with colleagues pursuing a similar research agenda, the ability to organize and teach a class or a course if more inclined towards a teaching career.

Detailed Description          

We have an opening for a Postdoctoral Researcher to conduct basic and applied research in image classification developing novel complex-valued deep learning networks to improve the performance of current melanoma detection algorithms.

Responsibilities:

  • Explore and evaluate the performance of different current complex-valued neural network architectures.
  • Develop novel complex-valued deep learning models suitable for use in general image classification problems and in melanoma detection.
  • Mentor research assistants and collaborate with external academic groups to advance our research goals.
  • Publish research results in top-tier journals and at leading international conferences

Job Requirements          

  • Ph.D. in the field of computer vision, image processing, artificial intelligence, or a related field.
  • Proven record of accomplishment including first-authored journal publications.
  • Proficient in programming language like Python and Matlab.
  • Familiar with popular deep learning libraries like Tensorflow, Pytorch, Keras and Caffe;
  • 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 3. Teaching and Research Statement

Vacancy Type

Research