MSc Vacancy for “CHARACTERIZATION OF NEURAL NETWORK AUTO- REGRESSIVE WITH EXOGENOUS INPUT (NNARX) FOR REAL TIME NONLINEAR MODEL USING FUZZY SMITH PREDICTOR”

 

University / Institute UiTM SHAH ALAM/ PASIR GUDANG
Project title CHARACTERIZATION OF NEURAL NETWORK AUTO-REGRESSIVE WITH EXOGENOUS INPUT (NNARX) FOR REAL TIME NONLINEAR MODEL USING FUZZY SMITH PREDICTOR
Start Date Jan 2019
End Date Dec 2020
Funding Agency Ministry of Education (MOE)
Contact Email(s) zakiah9018@johor.uitm.edu.my
Contact Phone(s) 019-7789561/ 07-3818231
Nationality Requirements on Candidate(s)  

Applicants must be Malaysian citizens

Description The MSc Project:

📣📣📣We are looking for postgraduate student for our recent research project. This research is fully funded by Fundamental Research Grant Scheme (FRGS):

 

📌Enrollment: January 2019
📆Duration : 2 years (24 months)
📝Project scope: Data collection, system identification, control system (simulation and real time)
💸Monthly allowance : RM1200-RM1500

 

Criteria for applicant👇:
✅ Bachelor’s Degree in Electrical Engineering (CGPA :3.00 above)
✅Familiar with Matlab
✅ Good English profiency
✅Self-motivated, requires minimal supervision and good communication skills
✅Able to carry out research independently

 

How to Apply:
Kindly send your recent CV to:

zakiah9018@johor.uitm.edu.my

(Ts.Dr.Zakiah Mohd Yusoff)

 

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