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PhD in Robotics and Intelligent Machine Engineering – NUST

April 14, 2015

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


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