The Energy and Process Systems Engineering (EPSE) Group at ETH Zürich is looking for a doctoral student to work on the new generation of prediction methods for the complex fluids and separation processes involved in the solvent-based recycling of plastics.

The EPSE group, led by Prof. Dr. André Bardow, is dedicated to advancing sustainable energy and chemical process systems. Our research spans from the molecular level to the scale of systems. We develop simulation and experimental methods to advance sustainable energy and chemical processes from the molecular to the system scale.

The vision of our recently funded ERC Advanced Grant DISC3Lab is to devise a validated discovery loop for sustainable chemical processes, targeting the solvent-based recycling of plastics. Chemical recycling is a key element of a transition towards a chemical industry within the Planetary Boundaries. However, the current process design paradigm is too slow, labor-intensive, and fragmented between disciplines.

We aim to overcome these bottlenecks to accelerate the development of sustainable processes. For this purpose, this project will develop predictive models, ranging from the basis in thermodynamic mixture properties to conceptual process design for chemical plastics recycling, by linking advanced machine learning techniques with high-throughput experimental methods developed by other team members.

• Your main task will be to advance thermodynamically consistent prediction methods for fluid properties and/or separation processes by developing new, more general, and more reliable hybrid thermodynamic and data-driven predictive models
• The methods developed in this project will overcome current limitations in training data sparsity, quantification of model uncertainty, and poorly specified mixtures or separation processes
• The work will be conducted in tight integration with a companion doctoral candidate who will focus on advancing the experimental counterpart methods
• Your role will also involve mentoring and co-supervising student projects and theses 
• Additionally, you will engage in various group and institute duties and activities 
• As an integral part of your work, you will publish your results in peer-reviewed journals and present them at international conferences

• You meet the requirements for a doctoral program at ETH Zurich and have an excellent Master's or diploma in chemical engineering, process engineering, mechanical engineering, energy science & technology, physical chemistry, or a related field 
• Ideally, you already have experience in ML and methods to predict thermophysical properties and/or conceptual process design
• The ability to work independently and excellent communication and writing skills in English complete your profile

We offer a full-time position for the duration of your doctoral studies, starting upon agreement with the earliest starting date of October 1st, 2026. We are providing a supportive environment that fosters professional and personal growth. You will join a dynamic, motivated, and interdisciplinary team of researchers with expertise in thermodynamics, process design, energy system optimization, and life cycle assessment, working collaboratively with research and industry partners. You will work in an inspiring, collaborative environment to address critical global challenges. It includes opportunities to engage in group discussions and collaborative efforts spanning from the molecular level to the systems scale, offering insights into diverse methods and approaches.

The PhD position provides access to state-of-the-art laboratory facilities and experimental setups, enabling impactful research. The position supports the development of critical thinking, data analysis, problem-solving, and project management skills while contributing to the broader academic community through publications and presentations at leading conferences.

We look forward to receiving your online application with the following documents:

• Curriculum Vitae, max. 2 pages
• Motivational Letter, max. 2 pages
• Transcript of records
• Contact details of 2 referees

For further information about the Energy and Process Systems Engineering (EPSE) Group, please visit our website. Questions regarding the position should be directed to Dr. Emiliano Casati [email protected] or [email protected] (no applications).

Please note that we exclusively accept applications submitted through our online application portal before 7 August 2026. Applications via email or postal services will not be considered.

We will get in touch with you after 2-3 weeks following the submission deadline.