We are looking for ONE candidate that is

  • Good in programming, mathematics, microcontroller system, and principle of network communication.
  • Good command of English
  • Discipline and independent

to work with us to improves the performance of Internet-of-Things (IoT) with locally decodable code. The successful candidate will be paid with RM 2,500 for 12 months and renewable to another year (1+1 policy). He/She is expected to register for Master of Engineering Science in Lee Kong Chian Faculty of Engineering Science (LKC FES) and complete the study in 24 months.

Knowledge in network communication and coding theory are preferable, but not a must. The successful candidate must register for Master of Engineering Science in Lee Kong Chian Faculty of Engineering Science (LKC FES).


We consider a mobile wireless sensor network (MWSN) that consists of thousands of static sensor nodes with one or multiple mobile sinks (mobile base stations). Such dynamic network is commonly found in the IoT applications such as users with wireless wearable devices walking on streets or shopping at outlets – the wearable devices acting as the mobile sinks that continuously fetching the environment sensory data in order to provide ubiquitous services to users.

The candidate will work together with the team to design the communication protocol, implement the testbed on Raspberry Pi, etc. Minimum logistic work may be required.

The team members are Dr. Chong Zan Kai, Prof. Ir. Dr. Goi Bok Min, Prof. Ir. Dr. Ewe Hong Tat, Dr. Lai An Chow and Dr. Goh Hock Guan and Ms. Tan Lyk Yin. This is also a collaboration project with researchers from Kwansei Gakuin University, Japan and Victoria University of Wellington, New Zealand.

The interested candidates should send their resumes to Dr. Chong Zan Kai chongzk@utar.edu.my.

Note: The calling is closed. Thank you.