ETH Zürich
3 months ago
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PhD in Thermodynamics, AI and Circular Plastics at ETH Zürich ETH Zürich in Switzerland
Degree Level
PhD
Field of study
Computer Science
Funding
Full-time PhD position for the duration of doctoral studies at ETH Zürich. The post is described as a full PhD position at a top global university with access to state-of-the-art laboratories and experimental setups; no stipend amount is stated.
Deadline
Aug 7, 2026
Country
Switzerland
University
ETH Zürich
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About this position
ETH Zürich is advertising a PhD position in predicting Thermodynamics and Processes for Circular Carbon Plastics within the Energy and Process Systems Engineering (EPSE) Group, led by Prof. Dr. André Bardow. The project sits at the intersection of chemical engineering, thermodynamics, machine learning, process design, and circular plastics recycling.
The research aims to develop new hybrid predictive models that combine physics-based thermodynamics with data-driven AI methods. The focus is on solvent-based recycling of plastics, thermophysical property prediction, complex fluid mixtures, separation processes, uncertainty quantification, and sustainable chemical process design. The project is embedded in a broader discovery loop linking experiments, modeling, and industrially relevant recycling applications.
You will work closely with a companion doctoral student handling the experimental side, and with a dynamic interdisciplinary team spanning thermodynamics, process systems engineering, energy system optimization, and life cycle assessment. The position includes mentoring opportunities, co-supervision of student projects, and publication/presentation of results in journals and conferences.
Eligibility: applicants should have an excellent Master’s or diploma in chemical engineering, process engineering, mechanical engineering, energy science & technology, physical chemistry, or a related field. Experience with machine learning and thermophysical property prediction or conceptual process design is preferred. Strong English writing and communication skills are required.
Funding and terms: this is a full-time PhD position for the duration of doctoral studies at ETH Zürich. The post offers access to state-of-the-art laboratories and experimental setups; no stipend amount is specified in the post.
Deadline: 7 August 2026. Start date: from 1 October 2026 or by agreement. Applications must be submitted online through the ETH Zürich portal; CV, motivational letter, transcript of records, and two referees are required.
Funding details
Full-time PhD position for the duration of doctoral studies at ETH Zürich. The post is described as a full PhD position at a top global university with access to state-of-the-art laboratories and experimental setups; no stipend amount is stated.
What's required
Applicants should meet the requirements for a doctoral program at ETH Zurich and hold an excellent Master's or diploma in chemical engineering, process engineering, mechanical engineering, energy science & technology, physical chemistry, or a related field. Experience in machine learning and methods to predict thermophysical properties and/or conceptual process design is preferred. Strong independent working ability, excellent English writing and communication skills, and programming skills in Python are expected or strongly desirable.
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