PhD position on In-situ characterization and Digital Modeling of Li-Ion Batteries

PhD position on In-situ characterization and Digital Modeling of Li-Ion Batteries
100%, Zurich, fixed-term

We offer a PhD position on "In-situ characterization and Digital Modeling of Li-Ion Batteries" in the Materials and Device Engineering (MaDE) group led by Prof. Vanessa Wood. Our group and research activities are interdisciplinary and collaborative with a very motivated team from various backgrounds with a large knowledge base. We conduct research on Li-Ion batteries ranging from material development, structural analysis with x-ray techniques, to digital modeling and simulation. The group also performs research on optoelectronics that are based on nanoparticles, offering unique opportunities to collaborate and to investigate the use of nanoparticles in Li-Ion batteries.

Project background

You will perform in-depth research on cutting-edge research of Li-Ion battery characterization and modeling.

Job description

• Development of beamline-specific measurement cells for in-situ tomography measurements
• Fabrication and characterizing of samples in the laboratory.
• Analysis and interpretation of beamline data
• Development structure-based multiphysics models to study (electro-)chemo-mechanical phenomena in Li-Ion batteries

You will have the opportunity to use and build upon extensive datasets, code, experience around tomographic measurements of battery materials and components, image processing, and multiphysics simulation.

During their study, doctoral students are encouraged to pitch and develop research ideas based their findings, novel publications, and emerging challenges in the field.

Profile

• Highly motivated and creative
• Independent working skills
• Strong problem-solving skills
• Willingness to work in an interdisciplinary field
• Ability to pursue research projects to advance technology and understanding
• Background in electrical/mechanical/chemical engineering, physics, material science or computer science
• Interesting in working with large datasets
• Strong English skills

Workplace
Workplace
We offer

• Well equipped battery and optoelectronic laboratory
• Access to microscopy facilities
• Expertise of planning and executing measurements at beamline facilities worldwide
• Cooperation with a battery modeling software development company
• Motivated team with diverse research and study background
• Developing your skills to perform long-term scientific research, from literature research, over project planning, execution, data analysis and publication
• Opportunities to present results at international conferences

In line with our values, 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 to find out how we ensure a fair and open environment that allows everyone togrow and flourish.

We value diversity and sustainability

In line with our values, 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 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.

Curious? So are we.

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

• Cover letter about yourself, why you are interested in Lithium-Ion batteries, image analysis, multiphysics modeling, artificial intelligence and your motivation to pursue a PhD
• CV
• Bachelor's and Master's Transcripts
• List of 3 references

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

Further information about [Department/Institute] can be found on our website. Questions regarding the position should be directed to Prof. Vanessa Wood ) or Markus Wied ). Application deadline November 7th 2025.

We would like to point out that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence.

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