PhD Fellow in Data-Driven Critical Materials Supply Chain

Syddansk Universitet; Odense; On-site; DKK 440,000 - 450,000; Full time

Job summary

The University of Southern Denmark invites applications for a three-year PhD position in data-driven critical raw material supply chain resilience, based at SDU Life Cycle Engineering in Odense campus. The expected starting date is February 15, 2027, or as soon as possible thereafter.

You will conduct independent research within an interdisciplinary team, aiming to publish high-quality papers and develop modular data-driven methods for material flow analysis across wind energy and digital

Qualifications

• Master's degree or equivalent by enrolment.
• Strong background in quantitative analysis and data science.
• Experience with programming and data analysis, preferably using Python.
• Excellent written and spoken English.

Responsibilities

• Conduct independent research under supervision of an interdisciplinary team.
• Contribute to high-quality scientific publications.
• Develop data-driven modular methods for material flow analysis.
• Collaborate across SDU faculties and with external partners.
• Present findings at international conferences.

Skills

Python

Data analysis

Quantitative modelling

Education

Master's degree or equivalent

Tools

Geospatial analysis tools

Machine learning frameworks

Job description

The University of Southern Denmark invites applications for a three-year PhD position in data-driven critical raw material supply chain resilience, based at SDU Life Cycle Engineering in Odense campus. The expected starting date is February 15, 2027, or as soon as possible thereafter.

You will conduct independent research within an interdisciplinary team, aiming to publish high-quality papers and develop modular data-driven methods for material flow analysis across wind energy and digital