Vacancy as a FRGS-GRA at Faculty of Engineering

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 ayman.elsaleh@mmu.edu.mymmu.edu.my