Open Positions

We are always seeking out talented and motivated students and post-docs for our group. For oportunities, outstanding candidates are always invited to send their applications to made-jobs@ife.ee.ethz.ch. 

ETH students with backgrounds in electrical engineering, physics,
chemistry, materials science, or mechanical engineering are always
welcome to apply for Semester and Master theses. Please check out
different possible project opportunities.

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

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.

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.

 

Desired 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

The posting can also be found here

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