Postdoc in AI-Driven Design and Modelling 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

Postdoc in AI-Driven Design and Modelling of Bio-Based Adhesives

Postdoktor/Postdoc

Kommun: Uppsala

Antal jobb:

1

Department of Forest Bioeconomy and Technology

Do you want to help shape the future of sustainable materials? We are seeking a highly motivated postdoctoral researcher to advance the design of next-generation bio-based adhesives that meet both sustainability targets and industrial performance requirements. In this project, you will combine cutting‑edge approaches in polymer science and AI‑driven modelling to develop predictive frameworks and high‑performance adhesive systems for furniture, construction and packaging industries. You will work at the interface of fundamental science and real‑world application, contributing to the transition toward a more sustainable materials economy. If you have a strong research background and a drive for innovation, this position offers an exciting opportunity to take the next step in your academic career!

The Centre unites 13 companies along the value chain in furniture, packaging and construction sectors that share the same research questions around adhesives and adhesive bonding.

About the position

The development of bio‑based adhesives is currently limited by a lack of predictive understanding of how formulation chemistry translates into material performance. This project addresses this challenge by establishing a data‑driven framework for the rational design of high‑performance bio‑adhesives. As a postdoctoral researcher, you will work on integrating experimental formulation, molecular‑level characterization, and machine learning to develop predictive models linking chemical descriptors to adhesive properties. The work includes the development of a structured formulation library, systematic mapping of key performance indicators, and the implementation of data‑driven optimization strategies to identify high‑performing systems. Machine learning approaches will be used to uncover structure‑property relationships and guide formulation design. The project combines experimental and computational approaches and includes validation of selected formulations on industrially relevant substrates. You will collaborate closely with academic and industrial partners and contribute to the development of a transferable predictive toolbox for next‑generation sustainable adhesives.

Your profile

We are seeking a highly motivated postdoctoral researcher with a doctoral degree obtained within the last three years in materials science, polymer science, chemistry, chemical engineering, or a closely related field. The ideal candidate has strong expertise in polymer formulation and structure‑property relationships, particularly in the modification and crosslinking of bio‑based or functional polymers for adhesive or related applications. Experience with advanced material characterisation techniques is expected. A strong interest in data‑driven research is essential. Experience with modelling approaches, data analysis, or machine learning applied to materials or chemical systems is considered a strong merit. You are expected to have excellent communication skills in English, both written and spoken, and a clear motivation to pursue an academic career. The ability to work independently, take initiative, and collaborate effectively in an interdisciplinary and international research environment is essential. In the evaluation of candidates, particular emphasis will be placed on (1) scientific excellence in polymer and materials science, (2) experience or demonstrated potential in applying machine learning and data‑driven approaches to materials or formulation design, and (3) the ability to contribute to and expand ongoing research activities within the group.

About us

The Department of Forest Bioeconomy and Technology at SLU brings together expertise in technology, natural and social sciences. The department provides world‑class interdisciplinary environment for research and education in the circular bioeconomy, with activities at the campuses in Umeå and Uppsala, and nationally and internationally. Our work spans the entire value chain of the forest‑based bioeconomy – from analysing how resources can be used and governed to developing technologies, materials, and industrial processes for sustainable bio‑based products and systems. The Department is responsible for education at the bachelor’s, master’s, and doctoral levels and collaborates closely with both industry and academia nationally and internationally. With us, you can help shape a more sustainable bio‑based society.

Scope

100%

Temporary employment 24 months, with the possibility of extension.

The position may start as agreed between both parties but not later than January 1, 2027.