Publisher
source

Vanessa Wood

4 months ago

PhD position on In-situ characterization and Digital Modeling of Li-Ion Batteries ETH Zürich in Switzerland

Degree Level

PhD

Field of study

Computer Science

Funding

Available

Deadline

Expired

Country flag

Country

Switzerland

University

ETH Zürich

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Where to contact

Official Email

Keywords

Computer Science
Mechanical Engineering
Electrical Engineering
Chemical Engineering
Materials Science
Nanotechnology
Statistical Analysis
Electrochemistry
Image Processing
Computational Physics
Tomography
3d Modeling
Multiphysics Simulation
Beam Physics
Lithium-ion Batteries
In Situ
Physics
Optoelectronic
advanced battery materials

About this position

This PhD position at ETH Zürich focuses on in-situ characterization and digital modeling of Li-Ion batteries within the Materials and Device Engineering (MaDE) group led by Prof. Vanessa Wood. The group is highly interdisciplinary, working on topics ranging from material development and structural analysis using x-ray techniques to advanced digital modeling and simulation. The research will involve developing beamline-specific measurement cells for in-situ tomography, fabricating and characterizing battery samples, analyzing beamline data, and creating structure-based multiphysics models to study electro-chemo-mechanical phenomena in Li-Ion batteries. The project offers access to extensive datasets, code, and expertise in tomographic measurements, image processing, and multiphysics simulation. Collaboration opportunities include working with a battery modeling software company and engaging with a diverse, motivated team. The group also explores optoelectronics based on nanoparticles, providing a unique chance to investigate their use in batteries. ETH Zürich provides a well-equipped laboratory, access to microscopy facilities, and opportunities to present research at international conferences. The university values diversity, inclusion, and sustainability, fostering an environment where all staff and students can thrive. Applicants should have a strong background in engineering, physics, material science, or computer science, and possess excellent English skills. The application requires a cover letter, CV, transcripts, and references, and must be submitted online. The deadline for applications is November 7th, 2025. For further information, candidates can contact Prof. Vanessa Wood or Markus Wied.

Funding details

Available

What's required

Applicants should have a background in electrical, mechanical, or chemical engineering, physics, material science, or computer science. Strong English skills are required. Candidates should be highly motivated, creative, able to work independently, possess strong problem-solving skills, and be willing to work in an interdisciplinary field. Experience with large datasets is desirable. Application materials include a cover letter explaining interest and motivation, CV, Bachelor’s and Master’s transcripts, and a list of three references.

How to apply

Submit your application online via the ETH Zürich application portal. Include a cover letter, CV, transcripts, and a list of three references. Applications via email or postal services will not be considered. Contact Prof. Vanessa Wood or Markus Wied for questions.

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