PhD Candidate in AI-Driven Sustainability Assessment (Remote, Denmark)

Job summary

This position involves a 3-year PhD project focused on developing AI-assisted methods for Life Cycle Assessment (LCA) and sustainability evaluation, particularly in the context of emerging bio-based technologies. The role is expected to start in September 2026 or shortly thereafter, and is part of ongoing EU-funded research initiatives.

Qualifications

• Relevant MSc degree in environmental engineering, sustainability assessment, industrial ecology, chemical engineering, bioengineering, data science, computer science, or a related field.
• Practical knowledge of Life Cycle Assessment and environmental footprinting.
• Programming experience in Python, R, MATLAB, or similar tools, with a focus on quantitative data and reproducible workflows.
• Familiarity with AI methods applicable to scientific data analysis and environmental assessment.
• Understanding of large language models and related AI techniques, including awareness of potential risks.
• Strong English communication skills, both written and spoken.

Responsibilities

• Develop and validate AI-assisted workflows for life cycle inventory data collection and quality assurance.
• Investigate trustworthy AI applications for quantitative sustainability assessments.
• Enhance data quality, transparency, and reproducibility in AI-supported LCA workflows.
• Design methods to mitigate unsupported AI outputs and ensure data integrity.
• Apply developed methods to relevant sustainability assessment case studies.
• Document assumptions, data sources, and model choices in AI-assisted assessments.
• Contribute to scientific publications and collaborate with academic and industrial partners.

Skills

• Strong analytical, organizational, and problem-solving abilities.
• Excellent communication and documentation skills.
• Ability to work independently and collaboratively in a research team.
• Motivation to publish research findings and engage in international projects.

Education

• A relevant MSc degree in a related field is required.

Tools

• Proficiency in programming languages such as Python, R, or MATLAB is essential.