Iasri Recruitment For The Post Of IT Professional, Walk-in Interview In Delhi

IASRI IT Professional, Senior Research Fellow Recruitment 2023: Advertisement for the post of IT Professional, Senior Research Fellow in Indian Agricultural Statistical Research Institute Candidates are advised to read the details, and eligibility criteria mentioned below for this vacancy Candidates must check their eligibility ie educational qualification, age limit, experience and etc.

The eligible candidates can submit their application directly before 12 April 2023 Candidates can check the latest IASRIRecruitment 2023 IT Professional, Senior Research Fellow Vacancy 2023 details and apply online at the iasriicargovin/ recruitment 2023 page .

IASRI Recruitment Notification & recruitment application form is available @ iasriicargovin/ IASRI selection will be done on the basis of test/interview and shortlisted candidates will be appointed in Delhi.

More details of iasriicargovin/ recruitment, new vacancies, upcoming notices, syllabus, answer key, merit list, selection list, admit card, result, upcoming notifications and etc will be uploaded on the official website.

IT Professional, Senior Research Fellow
Job Location:New Delhi
Last Date of Application: 12 April 2023
Employment Type: Full Time
Number of Vacancies: 20 Posts

Educational Qualifications:

• IT Professional: BTech in CSE/ IT with 4 years' experience in relevant field OR Master's degree in Computer Science/ Information Technology/ Computer Engineering/ Software Engineering/ Information Security/ MCA/ MTech.
  
  Or equivalent, with 2 years' experience in relevant field OR PhD in Computer Science/ Information Technology/ Computer Application or equivalent
• Senior Research Fellow (SRF): Master's in Agriculture Sciences (including Veterinary/ Fisheries/ Diary Science/ Biotechnology/ Agricultural Statistics)/ Computer Science/ Computer Application or equivalent with 4 years or 5 years of Bachelor's degree Candidates having Master's degree in basic sciences with 3 years Bachelor's degree and 2 years Master's degree should have NET qualification.
  
  

Experience: Please refer to official document

Salary: 25000 - 60000/-PM

Age Limit: 35 years

Important Dates:
Last Date of Application: 12 April 2023

Selection Process
Candidates will be selected based on written test/personal interview/medical test/walkin interview Once a candidate is selected they will be placed as IT Professional, Senior Research Fellow in Indian Agricultural Statistics Research Institute.

IT Professional:
B.Tech. in CSE/ IT with 4 years experience in relevant field. OR Masters degree in Computer Science/ Information Technology/ Computer Engineering/ Software Engineering/ Information Security/ MCA/ M.Tech. Or equivalent, with 2 years experience in relevant field. OR Ph.D. in Computer Science/ Information Technology/ Computer Application or equivalent

Senior Research Fellow (SRF):
Masters in Agriculture Sciences (including Veterinary/ Fisheries/ Diary Science/ Biotechnology/ Agricultural Statistics)/ Computer Science/ Computer Application or equivalent with 4 years or 5 years of Bachelors degree. Candidates having Masters degree in basic sciences with 3 years Bachelors degree and 2 years Masters degree should have NET qualification.

Iasri is looking for B.E. / B.Tech , B.Sc , MCA , M.E. / M.Tech , M.Sc , Phd profile candidates.

Candidates will be selected on the basis of their performance in written test and interview.
Candidates can walk-in for Indian Agricultural Statistical Research Institute Recruitment 2023 on 12/04/2023.
The Indian Agricultural Statistical Research Institute Recruitment 2023 notification will have all the instructions
that the candidates will need to follow on the day of the interview.

The IASRI is an organization under the Indian Council of Agricultural Research. It works for the development of new techniques for agricultural experiments and analysis of data related to agriculture. It is located in the premises of the Indian Agricultural Research Institute in New Delhi. It specializes in statistical techniques related to animal and plant breeding.