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