Indian Institute of Technology Recruits JRF Nuclear Engg 2016

Indian Institute of Technology Recruits  JRF Nuclear Engg 2016 in Kanpur.

Qualification : BE/B.Tech
No Of Vacancy : 01
Salary  – Rs. 25,000/ P.m
Location : Kanpur
Last Date To Apply : 18 Dec 2016

Details of Indian Institute of Technology JRF Nuclear Engg Recruitment

Technology Recruits  JRF Nuclear Engg

JRF Nuclear Engg. recruitment in Indian Institute of Technology Kanpur on contractual
Project Title: 3D Mineral Surveyor

Qualifications: B.Tech. in Nuclear Engineering/ Electrical Engineering/Physics with NET/GATE. Candidates with M.Sc. in Physics/ Mathematics are also eligible for the advertised post with *NET/GATE *or M.Tech in Nuclear/Electrical Engineering.

No. of positions: One

Salary / Stipend: Rs. 25,000

Selection Procedure: Written test/Interview.
Hiring Process : Written-test, Face to Face Interview
Job Role: Others

How to apply :
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Applicant must send CV / resume to shikhap@iitk.ac.in (CC: ksvivek@iitk.ac.in). Please include the word “[JRF]” in the subject of your email.

About IIT Kanpur

Indian Institute of Technology Kanpur carries out original research of significance and technology development at the cutting edge. It imparts training for students to make them competent, motivated engineers and scientists.

The research interests of the faculty members encompass a wide gamut of sub-disciplines of Electrical Engineering. Collaboration with faculty members from other disciplines, both within and outside the institute, is encouraged. The research activity of the department includes fundamental research, sponsored and consultancy projects, and is carried out with active participation of the students, faculty, staff and research engineers.

Welcome to the Controls and Automation group in the Department of Electrical Engineering, IIT Kanpur. The stream offers M.Tech., MS(R) and PhD programs.
On the control systems front, the research interests of the group include applications of control theories such as robust control, linear and non linear control, intelligent techniques (fuzzy logic and neural networks), adaptive control, sliding mode control, etc, to modern areas such as robotics, mobile robots, consensus and cooperation among multiple agents, quadrotors, and all-wheel independent drive electric vehicles.

Dates to remember

Last Date To Apply : 18 Dec 2016

 

 

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