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ETH Zürich

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

Expired

Country flag

Country

Switzerland

University

ETH Zürich

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Keywords

Computer Science
Machine Learning
Chemistry
Environmental Science
Mechanical Engineering
Chemical Engineering
Materials Science
Artificial Intelligence
Process Engineering
Thermodynamics

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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Professors

Professor

University Name
Country flag

Switzerland

Research Interests

Petrochemical Engineering

Energy Engineering

Life Cycle Assessment

Decarbonization

Chemical Engineering