PhD Fellowship: ML-driven Circular Plastics

Aalborg Universitet; Aalborg; On-site; DKK 360,000 - 420,000; Full time

Benefits offered by this job

International collaboration

PhD stipend

Job summary

Aalborg University in Aalborg invites a PhD candidate to join the TRACE 2025 project, linking polymer processing, machine learning and sustainable plastics.

You will develop data-driven recipes for processing mixtures, perform lab work with extrusion, compounding and injection moulding, and collaborate with international partners in Greece, South Africa and Nigeria.

The position blends experimental and computational work with teaching duties and participation in conferences.

Qualifications

• Master's degree in a relevant engineering/science field.
• Experience applying ML to materials and production systems.
• Experience with laboratory work on polymers or willingness to develop it.

Responsibilities

• Develop data-driven recipes for polymer processing with ML.
• Perform extrusion, compounding and injection moulding experiments.
• Collaborate internationally with TRACE partners.
• Document results and contribute to scientific publications and conferences.

Skills

Machine Learning

Data analysis

Polymer processing

Lab work

Education

MSc in Virksomhedsteknologi or engineering/science

Strong analytical foundation

Tools

Python

ML frameworks

Job description

Aalborg University in Aalborg invites a PhD candidate to join the TRACE 2025 project, linking polymer processing, machine learning and sustainable plastics.

You will develop data-driven recipes for processing mixtures, perform lab work with extrusion, compounding and injection moulding, and collaborate with international partners in Greece, South Africa and Nigeria.

The position blends experimental and computational work with teaching duties and participation in conferences.