Postdoktor inom AI-driven design och modellering av biobaserade lim
Core
Developing predictive frameworks and high-performance bio-based adhesive systems for the furniture, construction, and packaging industries using polymer science and AI-driven modeling.
Role type
Postdoctoral researcher (computational materials science & AI)
Builds
Predictive models linking chemical descriptors to adhesive properties; structured formulation libraries for next-generation sustainable adhesives.
Domain
Materials science / Polymer chemistry / Artificial Intelligence / Sustainable manufacturing
Deliverable
production ML models
Required skills
Polymer formulation, structure-property relationships, advanced material characterization, machine learning, data analysis, experimental design
Preferred skills
Cross-linking of bio-based polymers, datadriven research, modeling of chemical systems
Technologies
Machine learning frameworks, data analysis tools, molecular characterization equipment
Responsibilities
Integrate experimental formulation with molecular-level characterization and machine learning; develop predictive models connecting chemical descriptors to adhesive properties; implement data-driven optimization strategies to identify high-performance systems; validate selected formulations on industrially relevant substrates.
Seniority
Postdoctoral researcher (recent PhD holder)