Unilever Post Doctoral Fellowship Program

Unilever Post-Doctoral Fellowship Program

Position: Post‑Doctoral Research Fellow – R&D

Location: Mumbai or Bangalore

Duration: 12 months (extendable up to 18 months based on project needs)

Stipend: 90,000 per month

About The Program

The Unilever Post‑Doctoral Fellowship Program offers an immersive, structured research opportunity for early‑career researchers to work on high‑impact, applied research challenges within Unilever R&D. The program is designed to bridge academic excellence with real‑world FMCG innovation, enabling fellows to contribute directly to Unilever's science and innovation roadmap.

Fellows will work on cutting‑edge research problems, translating scientific concepts into scalable, consumer‑relevant solutions, while gaining deep exposure to industrial R&D practices.

Program Highlights

• Dedicated Unilever Research Guide aligned to the fellow's area of research
• Mentoring and coaching from senior scientists and industry leaders
• Hands‑on FMCG industry exposure, working on live R&D challenges
• Access to world‑class R&D facilities, data, and expertise
  
  

What We're Looking For

• High‑potential early‑career researchers who are excited to bring strong scientific or engineering fundamentals into a real‑world, industrial R&D setting.
• Interest in applied research with direct business and consumer impact
• Curiosity, adaptability, and ability to work in fast‑paced, collaborative environments
  
  

Eligibility Criteria

• PhD in Science/Engineering from Indian or global institutes
• PhD completed within the last 3 years
• Post‑doctoral experience: 0–3 years maximum
• Streams Open To (Applicants from any of the following disciplines may apply):
• Chemical Engineering
• Materials Engineering or Materials Science
• Mechanical Engineering
• Chemistry (Organic/Synthetic/ Physical Chemistry/Chemistry)
• Pharma
• Microbiology/Cell Biology/Neurobiology
• Food technology
• Computational Chemistry
• Graphic Design
• Data Analytics, Data Science, AI/ML, Molecular Modelling
• Areas of research: Across nutrition science, color cosmetics, role of skin microbiome diversity, correlation of microbial signatures with skin properties, AI polymer discovery, Suspension & Deposition, Process design for solid cleaning products. Crosstalk between skin cells and sensory neurons, Predictive modelling, Development of AI applications for Computational Biology/Molecular Modelling, and more.
  
  

Please note: All official offers from Unilever are issued only via our Applicant Tracking System (ATS). Offers from individuals or unofficial sources may be fraudulent—please verify before proceeding.