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  • Junior Research Fellow Post in IIT Ropar via Direct Recruitment

    Event Status : Created Event

Timeline

Important Dates

Application Closing Date
07/10/2023
Application Opening Date
21/09/2023

Other Important Information

Appointment Type
Direct Recruitment, Research Fellowship
Application Submission Method
Online
Qualification Required
Graduate, Postgraduate
Total Vacancies
1
Advertisement Number
SRG/2021/001594
Location of Posting/Admission
Rupnagar District, Punjab, India, 140117
Exam
CSIR NET, GATE, UGC NET
Place of Posting/Admission
Ropar, Punjab, India
Organisation Type
Educational Institution
Website
https://www.iitrpr.ac.in/
Post Type
Contractual
Work Experience
Yes
Interview
Yes
Application Link
https://forms.gle/VdvFV5yaRjfhUAHe7

Note: This information is common for all posts. For details on specific posts, refer to the official notification.

Posts Released

1. Junior Research Fellow

Important Updates

Refer to the official notification for more details.

Application Summary

Indian Institute of Technology Ropar has released a notification for the Junior Research Fellow post. Interested candidates can apply from 21/09/2023 to 07/10/2023. Download the official notification for details on eligibility, post information, job procedure, pay scale, and more.

Indian Institute of Technology Ropar invites applications for the following posts via direct recruitment:

Post Name: Junior Research Fellow

Essential Qualification:

  1. Masters degree in Mechanical/ Civil/ Aerospace Engineering / Physics from a recognized institute and with an exceptionally good academic record with a minimum CGPA of 7.5 on a 10.0 point scale (or 70% marks) + good GATE/NET score.

  2. Bachelors degree in Mechanical/ Civil/ Aerospace Engineering / Physics from a recognized institute and with an exceptionally good academic record with a minimum CGPA of 7.5 on a 10.0 point scale (or 70%marks) + good GATE/NET score.

Desirable Qualification: The candidate should have a good grasp of basic mechanical engineering subjects such as solid mechanics and engineering mathematics. Candidates having prior exposure to programming and basic knowledge of FEM will be given preference. The knowledge of deep learning is desirable but not a compulsory requirement.

For more details related to eligibility criteria, fee, pattern, annexure, place of posting etc. refer to the attachments below.