NBRC jobs for Ph.D. / M.Sc. Neuroscience Programmes in Gurgaon. Last Date to apply: 31 Dec 2017
Job Description
Admissions to Ph.D. / M.Sc. (Neuroscience) Programmes for the year 2017
Ph.D.
Joint Graduate Entrance Examination for Biology and Interdisciplinary Life Sciences (JGEEBILS).
Graduate Aptitude Test in Engineering (GATE-2017/GATE-2018) in Physics / Chemistry / Mathematics / Electrical Engineering / Electronics and Communications Engineering / Computer Science and Information Technology / Instrumentation Engineering. Candidates who qualified in GATE-2017 in these subjects are also eligible to apply.
Joint Entrance Screening Test (JEST) (2018).
CSIR / UGC / DBT / ICMR examination for Junior Research Fellowship (JRF) in Biology / Physics / Chemistry / Mathematics (the candidates should also fulfil the eligibility criteria of NBRC for Ph.D. programme). Also their fellowship should be valid to be activated upto 31st August, 2018 or later.
Candidates will be short-listed for a two-tier interview based on their performance in the above qualifying examinations.
Ph.D. programme candidates will be short-listed for a two-tier interview to be held at NBRC based on their performance in the JGEEBILS (Test date: 10th December, 2017) or qualifying GATE -2017/GATE-2018 examinations / JEST-2018 examination or qualifying CSIR/UGC/DBT/ICMR examination for Junior Research Fellowship (JRF) (valid for activation upto 31st August 2018 or later), alongwith fulfilling other eligibility criteria for admission to Ph.D. programme at NBRC. The applications through GATE/JEST/External Fellowship Channels are valid for Ph.D. programme only
M.Sc. (Neuroscience)
Joint Graduate Entrance Examination for Biology and Interdisciplinary Life Sciences (JGEEBILS).Candidates will be short-listed for a two-tier interview based on their performance in the JGEEBILS examination.
Ph.D.
Joint Graduate Entrance Examination for Biology and Interdisciplinary Life Sciences (JGEEBILS).
Graduate Aptitude Test in Engineering (GATE-2017/GATE-2018) in Physics / Chemistry / Mathematics / Electrical Engineering / Electronics and Communications Engineering / Computer Science and Information Technology / Instrumentation Engineering. Candidates who qualified in GATE-2017 in these subjects are also eligible to apply.
Joint Entrance Screening Test (JEST) (2018).
CSIR / UGC / DBT / ICMR examination for Junior Research Fellowship (JRF) in Biology / Physics / Chemistry / Mathematics (the candidates should also fulfil the eligibility criteria of NBRC for Ph.D. programme). Also their fellowship should be valid to be activated upto 31st August, 2018 or later.
Candidates will be short-listed for a two-tier interview based on their performance in the above qualifying examinations.
Ph.D. programme candidates will be short-listed for a two-tier interview to be held at NBRC based on their performance in the JGEEBILS (Test date: 10th December, 2017) or qualifying GATE -2017/GATE-2018 examinations / JEST-2018 examination or qualifying CSIR/UGC/DBT/ICMR examination for Junior Research Fellowship (JRF) (valid for activation upto 31st August 2018 or later), alongwith fulfilling other eligibility criteria for admission to Ph.D. programme at NBRC. The applications through GATE/JEST/External Fellowship Channels are valid for Ph.D. programme only
M.Sc. (Neuroscience)
Joint Graduate Entrance Examination for Biology and Interdisciplinary Life Sciences (JGEEBILS).Candidates will be short-listed for a two-tier interview based on their performance in the JGEEBILS examination.
Job Particulars
Role others
Who can apply Freshers
Hiring Process Face to Face Interview
Employment TypeFull Time
Job Id345694
Job Category Govt Jobs , BSc/BCA/BBM , Scholarships
Locality Address
State Haryana
Country India
About Company
National Brain Research Centre
is the only institute in India dedicated to neuroscience research and
education. Scientists and students of NBRC come from diverse academic
backgrounds, including biological, computational, mathematical,
physical, engineering and medical sciences, and use multidisciplinary
approaches to understand the brain.
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