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Stergios Adamopoulos

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Swedish University of Agricultural Sciences

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Sweden

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Botany

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Horticulture

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Chemistry

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Arboriculture

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Quality Control

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Boreal Ecology

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Polymer Science

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Positions1

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Swedish University of Agricultural Sciences

Swedish University of Agricultural Sciences

Postdoctoral Researcher in AI-Driven Design and Modelling of Bio-Based Adhesives

The BioGlue Centre at the Swedish University of Agricultural Sciences (SLU), Uppsala, Sweden, is recruiting a Postdoctoral Researcher for a project on AI-driven design and modelling of bio-based adhesives . This postdoctoral opportunity sits at the intersection of materials science , polymer science , chemistry , chemical engineering , and computer science . The project aims to accelerate the development of sustainable bio-based adhesives and next-generation wood products for the circular bioeconomy by combining experimental formulation work, molecular-level characterization, machine learning, and advanced data analytics. You will work on building a structured formulation library, mapping key performance indicators, and developing predictive models that link chemical descriptors to adhesive properties. The research also includes data-driven optimization strategies, validation on industrially relevant substrates, and collaboration with academic and industrial partners. The broader goal is to create a transferable predictive toolbox for sustainable adhesive design. The position is hosted within the BioGlue-Centre, a Vinnova competence centre focused on bio-based adhesives and sustainable industry. The centre connects SLU, KTH, Linnaeus University, and industrial partners across furniture, packaging, and construction value chains. Eligibility highlights: applicants should have a PhD obtained within the last three years in materials science, polymer science, chemistry, chemical engineering, or a closely related field. Strong expertise in polymer formulation and structure-property relationships is required, along with experience in advanced material characterization. Experience with modelling, data analysis, or machine learning is a strong merit. Excellent English and the ability to work independently and collaboratively in an interdisciplinary environment are expected. Employment details: temporary employment for 24 months, full-time, with the possibility of extension. The position may start by agreement but no later than 1 January 2027. Application deadline: 16 August 2026. Apply via the SLU vacancy page and log in/register to submit your application.

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