CSIR-NCL Pune Project Associate Job Opportunity in Process Optimization | Apply Now!
CSIR-National Chemical Laboratory (CSIR-NCL), Pune, has announced a new project associate job under a DST-sponsored research initiative focused on decarbonisation of the manufacturing process industry. This CSIR recruitment drive offers a valuable opportunity for candidates seeking research-oriented jobs in Pune, especially in machine learning, computational materials science, and process development.
Job Details:
- Job Position: Project Associate-II
- Division: Chemical Engineering & Process Development (CEPD), CSIR-NCL
- Location: Pune, Maharashtra
- Last Date to Apply: 03 February 2026
- Age Limit: 35 years
- Salary:
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- ₹35,000 + HRA for candidates qualified through CSIR-UGC / ICAR / ICMR NET, GATE, or national-level exams by DBT/DST
- ₹28,000 + HRA for other eligible candidates under CSIR recruitment norms
About the Institute:
CSIR-National Chemical Laboratory (CSIR-NCL) is one of India’s leading research institutes under the Council of Scientific and Industrial Research. CSIR-NCL plays a key role in national innovation through advanced research in chemical engineering, materials science, and sustainable technologies, making it a top destination for CSIR recruitment aspirants.
Qualifications:
Minimum Educational Qualifications:
Bachelor’s degree in Medicine with two years of R&D experience in academic, industrial, or scientific institutions
Desirable Experience:
- Familiarity with Linux operating systems
- Experience in computational materials science and/or machine learning is preferred for this project associate job
Project Details:
- Title of Project: Decarbonisation of the manufacturing process industry
- Sponsoring Agency: Department of Science and Technology (DST)
- Project Code: GAP341126
Job Description:
This project associate job involves developing machine learning-based models for process development in agrochemicals, dyes, speciality chemicals, and nanomaterials at CSIR-NCL. The role includes database creation, application of ML algorithms, and DFT-based computation if required. Candidates should be willing to acquire new technical skills to successfully complete the project.
Key Responsibilities:
- Develop ML-based models for process optimization projects at CSIR-NCL
- Create and manage databases related to chemical process development
- Apply machine learning algorithms to research datasets
- Perform DFT-based computations when required
- Support ongoing research activities under the CSIR recruitment project
Selection Process & Interview Details:
- Shortlisted candidates for this project associate job will be notified on 04 March 2026
- An online interview will be conducted on 06 February 2026
- The interview will be held via Microsoft Teams, Google Meet, or Cisco WebEx
