Organization Name: Electrical Engineering and Computer Science
The newly-established Khalifa University of Science and Technology (KU) combines the Masdar Institute of Science and Technology (MI), the Khalifa University of Science, Technology and Research (KUSTAR) and the Petroleum Institute (PI) 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 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.
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.
The EECS department in Khalifa University has an opening for research engineer in a machine learning and bioinformatics project with the goal of enhancing the performance of guide RNAs in CRISPR genome editing systems. You will integrate novel data encoding techniques and modern innovations in the deep learning machinery to achieve this goal. Develop novel deep learning models suitable for use in predicting the efficiency of guide RNAs in CRISPR genome editing systems. Publish research results in top-tier journals and at leading international conferences
- Master’s degree in Electrical/Computer Engineering, Computer Science, Bioinformatics or other related fields
- Proven record of accomplishment including first-authored publications in machine learning and/or bioinformatics
- Proficient in programming language like Python and Matlab
- Familiarity with a deep learning library.
- Excellent knowledge of spoken and written English
- 2+ years experience with programming language such as Python, MATLAB, C/C++.
How To Apply
Should you require further assistance or if you face any issue with the online application, please feel to contact the Recruitment Team (firstname.lastname@example.org).
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