PhD: ML‑Driven Circular Plastics & Processing

Aalborg Universitet; Aalborg; Hybrid; DKK 280,000 - 360,000; Full time

Job summary

Aalborg University invites applications for a three-year PhD stipend in Dynamic Recipes for Sustainable Plastics. The project sits at the Department of Materials and Production within TRACE 2025, combining polymer processing with data-driven modelling to advance circular plastics.

You will gain hands-on lab experience in extrusion, compounding and injection moulding, develop ML-based recipe optimization, and collaborate with international partners in Denmark, Greece, South Africa and Nigeria.

Qualifications

• Master’s degree in engineering or science with strong analytical and technical foundations.
• Experience with machine learning and data analysis for materials and processes.
• Familiarity with polymer materials and processing techniques.

Responsibilities

• Develop dynamic recipes for sustainable plastics using ML and data-driven modelling.
• Perform lab work with polymer processing, extrusion, compounding and injection moulding.
• Generate and validate data to train ML models for recipe optimization.
• Collaborate with international partners to scale circular plastics concepts.

Skills

Machine Learning

Data analysis

Polymer processing

Team collaboration

Education

Master’s degree in Virksomhedsteknologi

Tools

Extrusion

Compounding

Injection moulding

Job description

Aalborg University invites applications for a three-year PhD stipend in Dynamic Recipes for Sustainable Plastics. The project sits at the Department of Materials and Production within TRACE 2025, combining polymer processing with data-driven modelling to advance circular plastics.

You will gain hands-on lab experience in extrusion, compounding and injection moulding, develop ML-based recipe optimization, and collaborate with international partners in Denmark, Greece, South Africa and Nigeria.