PhD position in predicting Thermodynamics and Processes for Circular Carbon Plastics

PhD position at ETH Zurich focused on developing predictive models for sustainable chemical processes and solvent-based plastic recycling, combining machine learning with experimental methods.

This role supports a project that builds a validated discovery loop for sustainable chemical processes, specifically targeting solvent-based plastic recycling. The successful candidate will create predictive models that span from thermodynamic mixture properties to conceptual process design, working closely with a doctoral colleague who handles the experimental side.

Responsibilities

• Develop hybrid thermodynamic and data-driven models to improve prediction methods for fluid properties and separation processes.
• Address challenges such as limited training data, model uncertainty quantification, and complex mixture specifications.
• Provide mentorship and co-supervision for student projects and theses.
• Participate in various group and institute activities.
• Publish findings in peer-reviewed journals and present work at international conferences.

Requirements

• Fulfill the admission criteria for the doctoral program at ETH Zurich.
• Hold a strong Master's or diploma degree in chemical engineering, process engineering, mechanical engineering, energy science & technology, physical chemistry, or a closely related discipline.
• Demonstrate the ability to work independently.
• Possess excellent English communication and writing skills.

Nice to have

• Experience with machine learning and methods for predicting thermophysical properties or conceptual process design.

What the company offers

• A full-time appointment covering the duration of the doctoral studies.
• A supportive environment that encourages professional and personal development.
• Access to advanced laboratory facilities and experimental setups.
• Opportunities to participate in group discussions and collaborative projects that range from molecular-level analysis to system-scale applications.

About the company

ETH Zurich hosts a dynamic, interdisciplinary team of researchers with expertise in thermodynamics, process design, energy system optimization, and life cycle assessment. The institution fosters a collaborative environment where researchers work with both academic and industry partners to tackle critical global challenges through publications and conference presentations.

• Join a dynamic, interdisciplinary team of researchers with expertise in thermodynamics, process design, energy system optimization, and life cycle assessment.
• Work collaboratively with research and industry partners.
• Work in an inspiring, collaborative environment to address critical global challenges.
• Contribute to the broader academic community through publications and presentations at leading conferences.

How to apply

Application language: English