Postdoc in Solid-State Batteries: Modelling & Synthesis

Kungliga Tekniska högskolan

Stockholms kommun

On-site

SEK 420,000 - 540,000

Full time

14 days+
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Job summary

KTH Royal Institute of Technology invites applications for a two-year postdoctoral position focusing on atomistic modelling and synthesis of ceramic electrolytes for solid-state batteries. The project combines materials science, chemistry and computational modelling, and seeks to reveal structure–property relationships that govern ionic transport and interfacial stability.

Candidates should have a doctoral degree and strong experimental and computational skills.

Qualifications

  • Doctoral degree or equivalent in Physics, Inorganic Chemistry, Chemical Engineering, Materials Science or related field with electrochemistry experience.
  • Proficiency in written and spoken English.
  • Strong laboratory and computational skills.
  • Awareness of diversity and equal treatment issues, gender equality.

Responsibilities

  • Contribute to atomistic modelling and experimental synthesis of ceramic electrolytes for solid-state batteries.
  • Integrate computational simulations with laboratory validation to identify structure–property relationships.
  • Explore and design new composite architectures with enhanced ionic transport and interfacial stability.
  • Characterize materials using relevant electrochemical and materials-science techniques and interpret results to inform modelling efforts.

Skills

Electrochemistry experience
Laboratory skills
Computational skills
English proficiency

Education

Doctoral degree or equivalent

Tools

VASP
Quantum Espresso

Job description

KTH Royal Institute of Technology invites applications for a two-year postdoctoral position focusing on atomistic modelling and synthesis of ceramic electrolytes for solid-state batteries. The project combines materials science, chemistry and computational modelling, and seeks to reveal structure–property relationships that govern ionic transport and interfacial stability.

Candidates should have a doctoral degree and strong experimental and computational skills.

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