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

Sveriges Lantbruksuniversitet; Uppsala kommun; On-site; SEK 320,000 - 400,000; Full time

Job summary

Sveriges Lantbruksuniversitet is seeking a Post-doctoral Researcher to work on the development of bio-based adhesives in Uppsala. This project aims to establish data-driven frameworks for high-performance adhesive materials.

The candidate will integrate experimental formulation and machine learning to create predictive models. Ideal applicants will have a recent doctoral degree, strong polymer formulation expertise, and interest in data-driven research. The employment is temporary for 24 months with a possibility of extension.

Qualifications

• Doctoral degree in materials science, polymer science, chemistry, chemical engineering, or related field.
• Strong expertise in polymer formulation and structure-property relationships.
• Experience with advanced material characterisation techniques.

Responsibilities

• Develop predictive models linking chemical descriptors to adhesive properties.
• Create a structured formulation library and map key performance indicators.
• Collaborate with academic and industrial partners on adhesive technologies.

Skills

Polymer formulation

Machine learning

Data analysis

Material characterisation

Education

Doctoral degree in materials science or related field

Job description

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 post‑doctoral research project aims to establish a data‑driven framework for the rational design of high‑performance bio‑adhesives. You will integrate experimental formulation, molecular‑level characterisation, and machine learning to develop predictive models linking chemical descriptors to adhesive properties. The work includes the creation of a structured formulation library, systematic mapping of key performance indicators, implementation of data‑driven optimisation strategies to identify high‑performing systems, and validation of selected formulations on industrially relevant substrates. You will collaborate closely with academic and industrial partners and contribute to a transferable predictive toolbox for next‑generation sustainable adhesives.

Your Profile

• Doctoral degree in materials science, polymer science, chemistry, chemical engineering, or a closely related field, obtained within the last three years.
• Strong expertise in polymer formulation and structure‑property relationships, especially with bio‑based or functional polymers for adhesive applications.
• Experience with advanced material characterisation techniques.
• Strong interest in data‑driven research and experience or demonstrated potential in machine learning, modelling, or data analysis applied to materials or chemical systems.
• Excellent communication skills in English, both written and spoken, and a clear motivation to pursue an academic career.
• Ability to work independently, take initiative, and collaborate effectively in an interdisciplinary, international research environment.
• In candidate evaluation particular emphasis is placed on scientific excellence in polymer and materials science, experience with machine‑learning and data‑driven approaches to materials or formulation design, and the ability to contribute to and expand ongoing research activities within the group.

Job Details

Location: Uppsala

Form of employment: Temporary employment for 24 months, with the possibility of extension.

Scope: 100%

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