Postdoc in AI-Driven Design and Modelling of Bio-Based Adhesives
Indexed description
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.
For more information about the department or division visit: https://www.slu.se/om-slu/organisation/institutioner/skoglig-bioekonomi-och-teknologi/?gad_source=1&gad_campaignid=21086656031&gclid=EAIaIQobChMIwMj3yOmalQMVdluRBR3n7yxAEAAYASAAEgKD_fD_BwE
Read more about our benefits and working at SLU by visiting: https://www.slu.se/en/about-slu/work-at-slu/
Location:
Uppsala
Form of employment:
Temporary employment 24 months, with the possibility of extension.
Scope:
100%
Start date:
The position may start as agreed between both parties but not later than January 1, 2027.
Application:
Please submit your application before deadline 16 August 2026. You can submit your application by clicking the button below.
Union representatives:
https://internt.slu.se/en/my-employment/employee-associations/kontaktpersoner-vid-rekrytering/
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