PhD in Data-Driven Critical Raw Material Resilience

SDU International; Odense; Hybrid; DKK 33,000 - 41,000; Full time

Job summary

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

The PhD project develops modular, data-driven approaches to analyse demand, supply-chain dependencies and resilience, embedded in an interdisciplinary research environment combining environmental systems analysis,

Qualifications

• A solid academic foundation in quantitative analysis, system modelling, data science or related methods.
• Experience with programming and data analysis, preferably using Python or a similar programming language.
• Experience with data handling, including data cleaning, transformation, integration and exploratory analysis.
• Strong analytical and problem-solving skills.
• The ability to work independently and collaboratively in an interdisciplinary research environment.
• Good written and spoken English.
• A strong interest in sustainability, critical raw materials and supply-chain resilience.

Skills

Quantitative analysis

Programming

Python

Data handling

English

Sustainability

Team collaboration

Education

Master's degree

Job description

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

The PhD project develops modular, data-driven approaches to analyse demand, supply-chain dependencies and resilience, embedded in an interdisciplinary research environment combining environmental systems analysis,