Postdoc: AI-Driven Design of Bio-Based Adhesives

Sveriges Lantbruksuniversitet (SLU); Uppsala kommun; On-site; SEK 334,800 - 446,400; Full time

Job summary

Sveriges Lantbruksuniversitet (SLU) is seeking a highly motivated postdoctoral researcher to advance the design of next-generation bio-based adhesives that meet sustainability targets and industrial performance requirements. You will work at the intersection of polymer science and AI-driven modelling, contributing to the transition toward a sustainable materials economy.

The ideal candidate will possess a doctoral degree in materials science or related fields and have a strong background in polymer formulation, data-driven research, and machine learning. The position is temporary for 24 months, starting no later than January 1, 2027, with potential for extension.

Qualifications

• Strong expertise in polymer formulation and structure-property relationships.
• Experience with modification and crosslinking of bio-based or functional polymers.
• Strong interest in data-driven research.

Responsibilities

• Develop data-driven frameworks for designing high-performance bio-based adhesives.
• Integrate experimental formulation with machine learning approaches.
• Collaborate with academic and industrial partners.

Skills

Polymer formulation

Data-driven research

Machine learning

Experimental formulation

Advanced material characterization techniques

Education

Doctoral degree in materials science, polymer science, chemistry, or related field

Job description

Sveriges Lantbruksuniversitet (SLU) is seeking a highly motivated postdoctoral researcher to advance the design of next-generation bio-based adhesives that meet sustainability targets and industrial performance requirements. You will work at the intersection of polymer science and AI-driven modelling, contributing to the transition toward a sustainable materials economy.

The ideal candidate will possess a doctoral degree in materials science or related fields and have a strong background in polymer formulation, data-driven research, and machine learning. The position is temporary for 24 months, starting no later than January 1, 2027, with potential for extension.