Unilever is accepting applications from early-career researchers for the 2026 Postdoctoral Fellowship Program.
This opportunity lets researchers work on applied research and innovation projects within Unilever R&D.
The fellowship is designed for PhD holders who want to gain industry research experience.
Unilever Post-Doctoral Fellowship Program 2026 – Overview
| Particular | Details |
|---|---|
| Program | Unilever Post-Doctoral Fellowship Program |
| Position | Post-Doctoral Research Fellow – R&D |
| Organization | Unilever |
| Job Type | Full-time |
| Location | Mumbai or Bangalore |
| Duration | 12 months |
| Extension | Up to 18 months, depending on project requirements |
| Stipend | ₹90,000 per month |
| Category | Research & Development |
| PhD Requirement | PhD in Science/Engineering |
| PhD Completion | Within the last 3 years |
| Date Posted | September 24, 2026 |
| Application/Posting Period | September 24–28, 2026 |
Eligibility Criteria
Applicants must hold a PhD in Science or Engineering. The PhD should have been completed within the last three years. Researchers from several scientific, engineering, and computational disciplines can apply.
Research Areas
The fellowship covers a broad range of research areas within Unilever R&D. Some of the areas mentioned include:
- Nutrition science
- Color cosmetics
- Skin microbiome diversity
- Correlation of microbial signatures with skin properties
- AI-based polymer discovery
- Suspension and deposition
- Process design for solid cleaning products
- Crosstalk between skin cells and sensory neurons
- Predictive modelling
- AI applications for computational biology
- Molecular modelling
Fellowship Duration and Stipend
The initial fellowship duration is 12 months.
Depending on project requirements, the fellowship may be extended for up to 18 months.
The advertised stipend is ₹90,000 per month.
How to Apply?
Interested candidates should apply through the official Unilever careers/recruitment channel and carefully review the position-specific requirements before submitting their application.
Applicants should prepare an updated:
- Academic CV
- PhD details
- Research experience
- List of publications, where applicable
- Technical/scientific skills
- Description of relevant research projects
- Relevant AI/ML, computational, laboratory, engineering, or domain expertise