School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana (PAU)Punjab1 VacanciesExpired
The School of Agricultural Biotechnology, Punjab Agricultural University (PAU), Ludhiana has officially announced the Project Associate-I Recruitment 2026 with 1 vacancy on a contractual basis. Candidates holding B.Sc./B.Tech or M.Sc./M.Tech degrees in Bioinformatics, Computational Biology, Systems Biology, Data Science, Biotechnology, Biomedical Informatics, Molecular Biology and related disciplines with the prescribed academic qualifications are eligible to apply.
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PAU Project Associate-I Vacancy 2026 Notification PDF
Candidates who are interested in applying for the PAU Recruitment 2026 should first download and carefully read the official notification PDF. The notification contains complete details about vacancy distribution, eligibility criteria, age limit, stipend/salary, selection process, important dates, and application instructions. Reading the official document is important to ensure that you meet all requirements before submitting the application form. Download PAU Project Associate-I Job 2026 Notification PDF
PAU Project Associate-I Eligibility Criteria 2026
B.Sc./B.Tech with a minimum CGPA of 6.00/10.00 basis or 60% marks. M.Sc/M.Tech in Bioinformatics/Computational Biology/Systems Biology/System Biology and Bioinformatics/Data Science/Biotechnology/Biomedical Informatics/Computational Systems Biology/Molecular Biology and Biotechnology and related disciplines with a minimum CGPA of 6.50/10.00 basis or 65% marks. Note I: Candidates with a Ph.D. in a relevant discipline are eligible even without a Master's degree. Note II: Desirable qualifications include experience in NGS data, programming languages, database development, Machine learning, and AI.
PAU Project Associate-I Salary 2026
Rs 25,000/- per month fixed + 16% HRA
PAU Project Associate-I Selection Process 2026
Interview
Important Dates
Last Date to Apply
14 July 2026
Age Limit
Notes
Minimum Age: 18 years Maximum Age: 35 years Age relaxation details are not specified in the provided data.
Important Links
Download PAU Project Associate-I Job 2026 Notification PDF
Q: What is the last date to apply for the PAU Project Associate-I recruitment?
The last date to submit your online application for the Project Associate-I position at PAU is July 3, 2026. Ensure all details are accurate before the deadline.
Q: What is the educational qualification required for the Project Associate-I post?
Candidates need a B.Sc./B.Tech with at least 60% marks or an M.Sc/M.Tech in specific bioinformatics or biotechnology-related fields with at least 65% marks. A Ph.D. in a relevant field is also acceptable without a Master's.
Q: What is the age limit for this recruitment?
The minimum age requirement is 18 years, and the maximum age limit is 35 years for the Project Associate-I position.
Q: What is the salary offered for the Project Associate-I role?
The selected candidate will receive a fixed salary of Rs 25,000/- per month, along with an additional 16% House Rent Allowance (HRA).
Q: How many vacancies are available for the Project Associate-I post?
There is one vacancy available for the Project Associate-I position in the School of Agricultural Biotechnology, PAU.
Q: What is the selection process for this recruitment?
The selection process for the Project Associate-I position will be based on an interview. Candidates will be shortlisted based on their qualifications and experience.
Q: Is there an application fee for the PAU Project Associate-I recruitment?
Yes, there is an application fee of Rs. 200/- for both General/OBC and SC/ST categories.
Q: What is the job type for this position?
The Project Associate-I position is a contractual role. This means the employment is for a fixed duration as specified in the contract.
Q: Where is the job location for this recruitment?
The job is located in Ludhiana, Punjab, at the School of Agricultural Biotechnology, Punjab Agricultural University.
Q: What are the desirable qualifications for the Project Associate-I post?
Candidates with experience in NGS data, programming languages, database development, Machine learning, and AI are preferred for this role.