Vacancy as a FRGS-GRA at Faculty of Engineering
21 November 2013| Posted by Admin

Project Title: Enhanced Swarm Intelligence Algorithm for Highly-Complex Real-time Optimization Problems.

Short Description: Formulation of an enhanced Particle Swarm Optimization (PSO) algorithm for cooperative spectrum sensing and resource allocation applications in Cognitive Radio Networks (CRNs).

Project Period: 2 Years.

Research Cluster: Information and Communication Technology (ICT).

Funding Agency: Ministry of Education (MOE).

Funding Scheme: Fundamental Research Grant Scheme (FRGS).

Location: Faculty of Engineering (FOE), MMU, 63100 Cyberjaya.


• Pursuing Master of Engineering Science, M.Eng.Sc (by research),

• Conducting research on various variants of particle swarm optimization (PSO) and formulate an enhanced version that can be efficiently used for real-time wireless applications such as spectrum sensing and resource allocation in cognitive radio networks (CRNs),

• Publish research findings in conference and journal papers, 

• Up to 4 hours per week of administrative work assigned by the Faculty. 

Benefits (not limited to): 

• Monthly salary of RM 2000-2300 (depending on applicant’s qualifications).

• Waived tuition fees (separate application is required).

• Attending local conferences/trainings.


• A Bachelor’s degree in Electronics/Computer/Telecommunications engineering with minimum second upper class (preferably CGPA above 3.5). 

• Background knowledge on Wireless Communications. Knowing Soft Computing and Evolutionary Optimization Algorithms is an added advantage. 

• Being independent, self-motivated, keen to learn, creative and able to work under pressure. 

• Good communication skills and English proficiency

How to Apply? 

Interested candidates should send their up-to-date CVs (including publications, if any, photo, contact details for 2 references) via email to Dr. Ayman Abd El-Saleh at

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