PhD in Robotics and Intelligent Machine Engineering – NUST
Course Name: PhD in Robotics and Intelligent Machine Engineering
Overview:
The postgraduate program of Robotics and Intelligent Machine Engineering (RIME) is focused towards advanced level education and state of the art research in the cutting edge areas of:
Robotics & Automation
Mechatronics & MEMS
Control Systems Engineering
Machine Intelligence
Computer Vision
The Master program requires the student to complete 22 – 23 credit hours of theory and 1 – 2 credit hours of lab work including 6 core and 2 elective courses. The students are required to take up a research thesis in any of the streams identified above. The PhD program requires the students to study 6 courses focusing on the stream of their choice and then undertake research for a PhD dissertation. The laboratories housing most modern equipment available at the department make it possible for the students to gather practical results for their experiments wherever required.
Number of Semesters: 2
Requirements
- For admission into the PhD minimum CGPA 3.0/4.0.
- A subject test conducted by the National Testing Service (NTS).
- In the case of GAT Subject test a minimum of 60% marks is required to pass the test.
- Course work of 18 credit hours preferably in the first year is required to be completed and followed by a comprehensive examination for granting candidacy as PhD researcher.
Course Duration: N/A
How to apply:
Application
• Access web-link: www.pgadmission.nust.edu.pk • Fill online application form. • Upload scanned copies of required documents.
Application Confirmation
• Application confirmation will be sent at the given email address within 24 hours of submission.
Application Fee
• Deposit Application Fee online in any HBL branch.
Fee Receipt
• Fee confirmation will be sent at the given email address within 15 days of payment.
Application Status
• Application status would be communicated through email/website within 2 days of documents receipt.
Interview Calls
• Eligible candidates and those who qualify GAT-Gen or relevant tests will be asked to appear for interviews.
Interviews
• Candidates would appear for interviews at the concerned School/College/Center in July 2014.
Selection List
• Selection list will be uploaded on NUST website by the mid of August 2014.
Admission Dues
• Candidates will deposit admission dues in any HBL branch as per challan form available online.
Document Submission
• Candidates will prepare documents as per given checklist available online and will submit to the PGP Directorate, Main Office NUST. • All original documents, Medical Certificate and Affidavit will be submitted to the respective Schools/Colleges/Centers at the time of joining.
Joining Instructions
• Relevant NUST School/College/Center will issue joining instructions to those candidates who have completed all admission requirements.
• Successful candidates will join relevant programs as per joining instructions in 2nd week of September 2014.
Curriculum:
ADDITIONAL COURSE
Subjects Credit Hours |
Research Methodology 2-0 |
CORE COURSES
Subjects Credit Hours |
Robotics – I 3-0 |
Robotics – II 3-0 |
Mobile Robotics 3-0 |
Artificial Intelligence 3-0 |
Computer Vision 3-0 |
Linear Control Systems 3-0 |
PHD COURSES
Subjects Credit Hours |
Robotic Manipulation 3-0 |
Robot Motion Planning 3-0 |
Special Topics for PhD program (Robotics) 3-0 |
Microfluidics and BioMEMS 3-0 |
Special Topics for PhD program (Mechatronics) 3-0 |
Advanced Artificial Intelligence 3-0 |
Special Topics for PhD program (Artificial Intelligence) 3-0 |
Pattern Recognition 3-0 |
Special Topics for PhD program(Machine Vision) 3-0 |
Robust Control 3-0 |
Special Topics for PhD program (Control Systems) 3-0 |
ELECTIVE COURSES
Subjects Credit Hours |
MEMS Design and Fabrication 3-0 |
Machine Learning 3-0 |
Advanced Engineering Mathematics 3-0 |
Computer Integrated Manufacturing 3-0 |
Principles of Control Systems 3-0 |
Data Acquisition and Control 3-0 |
Advanced Embedded Systems / Micro-Controllers 3-0 |
Modeling and Simulation 3-0 |
Fuzzy Control Systems 3-0 |
Non Linear Control Systems 3-0 |
Adaptive Control 3-0 |
Digital Control Systems 3-0 |