Job Description
The Research Assistant will develop machine-learning-based multi-objective optimization strategies to address the issue of energy consumption yet maintaining the performance, quality of services and high availability of data. He/She will develop federated machine learning algorithms for Internet-of-Things applications.
Minimum Qualification
Master’s degree in Computer Science or Engineering or related disciplines
Preferred Qualification
Scholarly publications and research experience is a plus.
Expected Skills/Rank/Experience
- Excellent mathematical background
- Knowledge in modeling, machine learning, optimization and distributed systems middle-ware
- Strong communication and writing skills
- Excellent programming skills
- Motivated and can work independently as well as within a team in an interdisciplinary environment.
Special Instructions to Applicant
Please submit 3 recommendation. For further information about the position, please contact Dr. Leila Ismail ([email protected] )
Division College of Information Tech. -(CIT)
Department Computer Science&Software Eng-(CIT)
Job Close Date open until filled
Job Category Academic - Research Assistant
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