PhD: Data-Driven Critical Raw Material Resilience

University of Southern Denmark; Odense; On-site; DKK 377,000 - 451,000; Full time

Job summary

University of Southern Denmark invites applications for a three-year PhD position in data-driven critical raw material supply chain resilience. Based in Odense, the PhD will develop modular, transparent computational modules for dynamic material flow analysis and assess supply-chain resilience in wind energy and data infrastructure.

The project blends environmental systems analysis with data science and network analysis.

Qualifications

• Strong background in quantitative analysis, system modelling and data science.
• Experience programming in Python or a similar language.
• Experience with data handling: cleaning, transformation and exploratory analysis.
• Ability to work independently and collaboratively in an interdisciplinary environment.
• Good written and spoken English.
• Strong interest in sustainability and supply-chain resilience.

Skills

Programming

Data analysis

Quantitative methods

English proficiency

Collaborative work

Education

Master's degree in a relevant field

Job description

University of Southern Denmark invites applications for a three-year PhD position in data-driven critical raw material supply chain resilience. Based in Odense, the PhD will develop modular, transparent computational modules for dynamic material flow analysis and assess supply-chain resilience in wind energy and data infrastructure.

The project blends environmental systems analysis with data science and network analysis.