PhD: ML‑Driven Circular Plastics Processing

The Faculty of Engineering and Science, Department of Materials and Production, Section of Physics,; Aalborg; On-site; DKK 320,000 - 400,000; Full time

Job summary

The Materials Science and Engineering group at Aalborg University offers a three-year PhD stipend in Dynamic Recipes for Sustainable Plastics. Based at Aalborg, the project combines polymer processing with data-driven modelling to advance circular plastics systems.

You will explore ML‑assisted recipe optimization for heterogeneous feedstocks, test blends via extrusion/compounding/injection moulding, and work with international partners within TRACE 2025.

Qualifications

• Master's degree in a relevant field (Engineering/Science).
• Strong technical and analytical foundation for materials and processing.
• Experience with Machine Learning and data analysis is advantageous.
• Good written and spoken English; ability to work in international teams.

Responsibilities

• Design and develop dynamic recipes for sustainable plastics using ML and data-driven modelling.
• Perform laboratory work on polymer processing (extrusion, compounding, injection moulding).
• Generate high-quality data for training ML models and validate model predictions.
• Collaborate with international partners and participate in TRACE 2025 activities.

Job description

The Materials Science and Engineering group at Aalborg University offers a three-year PhD stipend in Dynamic Recipes for Sustainable Plastics. Based at Aalborg, the project combines polymer processing with data-driven modelling to advance circular plastics systems.

You will explore ML‑assisted recipe optimization for heterogeneous feedstocks, test blends via extrusion/compounding/injection moulding, and work with international partners within TRACE 2025.