Job Description

Position Overview

We are seeking a highly motivated Research Scientist to join an interdisciplinary research programme focused on lignocellulosic biomass pre-treatment and conversion into functional materials. The primary focus of this role is hands-on experimental research on biomass processing and materials development using sustainable and green chemistry approaches. This position offers a unique opportunity to work at the interface of biomass chemistry, materials science, and digital chemistry, contributing to impactful sustainable materials research.

Key Responsibilities:

• Design and execute lignocellulosic biomass pre-treatment and fractionation strategies via green chemistry.
• Convert biomass-derived fractions (cellulose, lignin, hemicellulose) into functional materials, such as polymers, composites, or bio-based specialty materials.
• Perform material characterization using appropriate physicochemical techniques.
• Optimize process parameters with consideration of sustainability, scalability, and material performance.
• Support high-throughput or semi-automated experiment design.
• Work with AI and automation teams to systematically collect, curate, and structure experimental data for database development.
• Prepare technical reports, manuscripts, technology disclosures, and presentations for internal reviews, peer-reviewed journals, conferences and industrial partners.
• Mentor junior researchers and students, if applicable.

Key Requirements:

• PhD in Chemical Engineering, Materials Science, Polymer Science, Chemistry, Biomass/Bio-refinery Engineering, or a closely related field.
• Strong experimental background in lignocellulosic biomass processing, biomass fractionation, or bio-based materials synthesis.
• Solid understanding of structure–property–process relationships in materials.
• Track record of peer-reviewed publications and/or patents.
• Familiarity with data-driven or AI-assisted research concepts in materials science is an advantage.
• Experience working with industrial partners or translational research projects is beneficial.