苏黎世联邦理工学院PhD position in Molecular Thermodynamics and Transport Modeling for the Energy Transition申请条件要求-申请方
主办方
苏黎世联邦理工学院
PhD直招介绍
PhD Position: Molecular Thermodynamics and Transport Modeling for the Energy Transition
The Molecular Engineering Thermodynamics (MET) group at ETH Zurich is looking for a doctoral student to develop and improve computational tools for the molecular scale description of mass transport in membranes with an application to separation processes. The MET group at ETH Zurich, led by Philipp Rehner, is dedicated to linking rigorous physical molecular models to the design of sustainable processes in chemical engineering. To bridge the scale from molecules to processes, we apply state-of-the art mathematical concepts and tools combined with highly efficient computational methods. A particular focus is on the modeling of interfacial phenomena in process design applications. Our technological focus is on emerging technologies for the energy transition.
Project background
A sustainable supply of our energy and materials demands must be built on novel processes that feature renewable feedstocks, green energy supply, and improved energy efficiency. An efficient design of novel processes needs to account for the interactions of molecules and materials with the process performance that occur at interfaces: e.g., adsorbent materials, heat exchanger surfaces, or membranes.
The ProMote project establishes an integrated material and process design workflow that – for the first time – incorporates rigorous molecular models for interfacial phenomena directly into the evaluation and design of processes. To bridge the gap between the continuum world of process design and the stochastic nature of molecules, the ProMote project proposes the application of classical density functional theory – a molecular-scale continuum description of inhomogeneous systems – in process design and, therefore, to fuse the scales from molecules to processes.
To overcome the computational challenge of applying molecular models at process scales, the project combines efficient mathematical concepts like automatic differentiation with backpropagation – the same concept that powers machine learning and artificial intelligence everywhere – with rigorous physical models that are robust and interpretable due to their physical constraints. In the ProMote project, the integrated design workflow will be demonstrated for three emerging technologies: carbon capture, high-temperature heat pumps, and membrane separations.
Job description
Your primary task will be to develop and implement models for the molecular description of transport resistivities in micro- or nanoporous materials
The models will then be used to quantify mass transport through membranes in order to evaluate the performance of novel membrane materials in industrial separation processes
Your role will also involve mentoring and co-supervising student projects and theses
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
Working, teaching and research at ETH Zurich
( https://ethz.ch/en/the-eth-zurich/working-teaching-and-research.html )
We value diversity and sustainability
In line with our values( https://ethz.ch/en/the-eth-zurich.html ), ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website( https://ethz.ch/staffnet/en/employment-and-work/working-environment/diversity.html ) to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Sustainability is a core value for us – we are consistently working towards a climate-neutral future( https://ethz.ch/en/the-eth-zurich/sustainability.html ).
About ETH Zürich
ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.
苏黎世联邦理工学院 PhD position in Molecular Thermodynamics and Transport Modeling for the Energy Transition项目有没有奖学金，是不是全奖Phd招生，下面我们一起看一下【大学名称】Phd的奖学金资助情况
项目资助情况
We offer
We offer a full-time position for the duration of your doctoral studies, starting upon agreement with the earliest starting of 1st of September, 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 computational power 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.
苏黎世联邦理工学院Phd申请条件和要求都有哪些？PhD position in Molecular Thermodynamics and Transport Modeling for the Energy Transition项目是不是全奖？有没有奖学金？下面我们一起看一下苏黎世联邦理工学院申请Phd直招需要具备哪些条件和要求，以及托福、雅思语言成绩要到多少才能申请。
申请要求
Profile
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, physics, energy science & technology, physical chemistry, or a related field
Ideally, you already have experience working computationally and developing scientific software
Experience in Python is highly recommended, additional knowledge of performance-oriented modeling frameworks, either based on Python (e.g., JAX, Pytorch) or other programming languages (e.g., C++, Rust, Julia) are welcome
You are interested and able to develop thermodynamic models while gaining a solid understanding of the underlying physical processes
The ability to work independently and excellent communication and writing skills in English complete your profile
报名方式
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招生人信息
Prof. Philipp Rehner
邮箱：prehner@ethz.ch
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