CSIR-NCL Project Associate-II Recruitment For Process Optimization | Agricultural Sciences Jobs
If you are searching for Project Associate Jobs in a reputed government research institute, this NCL Recruitment notification is a strong opportunity. CSIR-NCL Pune invites applications for Project Associate-II under a DST-funded project focusing on sustainable manufacturing and process optimization—ideal for aspirants targeting long-term careers in life sciences jobs and applied research.
About the Institute:
CSIR–National Chemical Laboratory (NCL), Pune is a premier research institute under the Council of Scientific and Industrial Research (CSIR), Government of India. The institute is globally recognized for its contributions to chemical sciences, life sciences, materials research, and industrial process development.
Recruitment Notice No: 2026/CSIR-NCL/CEPD/GAP341126/679
Available Positions:
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Post Name: Project Associate-II
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Number of Positions: 01
Job Details:
- Title of Project: Decarbonisation of the manufacturing process industry
- Project Code: GAP341126
- Division: CHEMICAL ENGG. & PROCESS DEVELOPMENT (CEPD)
- Age Limit: 35
- Consolidated Emoluments per Month:
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- (i) 35,000/- + HRA for those candidates who have qualified CSIR-UGC / ICAR / ICMR NET incl. lectureship/assistant professorship or GATE OR those who have qualified National level examinations conducted by Central Government Departments like DBT/ DST or equivalent and/or their Agencies/ Institutions.
- (ii) 28,000 + HRA for others who do not fall under (i) above
Educational Qualifications:
- (i) Master’s/Integrated Master’s in Natural or Agricultural Sciences/Animal Sciences AND Two (2) years experience in Research and Development in Industrial and Academic Institutions or Science and Technology Organizations and Scientific activities and services OR
- (ii) Masters/Integrated Masters in Engineering or Technology from a recognized University or equivalent
Desirable Qualification/Experience:
- Familiarity with the Linux operating system (any flavors) is required. Working experience in computational materials science and/or machine learning would be advantageous.
Job Requirement:
- Developing new ML-based models for the projects in process development for agrochemicals, dyes, specialty chemicals along with nanomaterials. As a part of the project, databases would be created, and ML algorithms would be applied to the database. DFT-based computation will be carried out if required. The candidate should be willing to acquire the skill set needed to complete the project successfully.
How to Apply:
- Eligible candidates are required to apply ONLINE only through our website.
- Link to apply: https://jobs.ncl.res.in
- Details can be read from section Jobs Vacancies: https://www.ncl-india.org
- Candidate should have a valid email before applying online.
- Scanned photo/signature in JPG/JPEG format only.
- Candidate’s Photograph File size must be less than 50 kb.
- Candidate’s Signature File size must be less than 25 kb.
- Readable scanned copies of Mark sheet (SSC, HSC, Graduation, Master, PhD, etc).
- Keep ready pdf file of all testimonials.
- The application should be filled online on or before 03/02/2026. Late applications will not be considered.
Important Dates:
- Last Date to Apply Online: 03 February 2026
- Shortlisting Notification: 04 March 2026
- Online Interview Date: 06 February 2026
Important Note:
- The upper age limit is relaxable up to 5 years in case of candidates belonging to SC/ST/PWD/women, and 3 years for OBC candidates.
- The engagement will be co-terminous with the tenure of the sponsored project, subject to satisfactory performance or conduct of the appointee, as the case may be.
- The engagement will be purely on a temporary basis and shall not be a CSIR/NCL appointment, temporary or otherwise, and shall not entitle the appointee to any right/claim whatsoever, implicit or explicit, for his/her consideration against any CSIR-NCL post/fellowship.
This Project Associate Jobs opportunity at CSIR-NCL Pune is ideal for candidates aiming to work on national sustainability initiatives. With exposure to DST-funded research, advanced computational tools, and real-world industrial challenges, this role strengthens prospects in both life sciences jobs and applied research careers.
LINK HERE TO ORIGINAL NOTIFICATION
