Postdoc: Computational Materials Physics in Semiconductors

Chalmers Tekniska Högskola AB; Göteborgs kommun; On-site; SEK 480,000 - 580,000; Full time

Job summary

Chalmers University of Technology in Gothenburg seeks a Postdoctoral researcher to advance computational physics of semiconductors and functional materials. You will develop electronic-structure, atomistic simulations, and machine-learning methods to study atomic-scale phenomena and their impact on material properties.

The position offers collaboration with international partners, supervision of students, and teaching opportunities at undergraduate and master's level.

Qualifications

• Doctoral degree in physics, materials science, chemistry or closely related field.
• Strong written and verbal English communication.
• Experience in computational materials science or condensed matter physics.
• Ability to conduct independent research and critically analyse results.
• Willingness to collaborate and contribute to research and education.

Responsibilities

• Conduct independent research on electronic and atomistic properties of semiconductors and functional materials.
• Develop and apply advanced computational approaches to investigate complex physical phenomena.
• Collaborate with group researchers and international partners.
• Publish results in peer-reviewed journals and present at conferences.
• Contribute to supervision of master's and PhD students.
• Participate in teaching at undergraduate and master's level where appropriate.
• Support future roles in academia, industry, or public sector.

Skills

English proficiency

Independent research

Collaboration skills

Teaching potential

Critical thinking

Education

Doctoral degree in physics, materials science, chemistry

Tools

Electronic-structure methods

Molecular dynamics

Machine-learning potentials

Computational method development

Job description

Chalmers University of Technology in Gothenburg seeks a Postdoctoral researcher to advance computational physics of semiconductors and functional materials. You will develop electronic-structure, atomistic simulations, and machine-learning methods to study atomic-scale phenomena and their impact on material properties.

The position offers collaboration with international partners, supervision of students, and teaching opportunities at undergraduate and master's level.