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with programmable polarization for analog memory and spike-based computing. The researcher will work in a multidisciplinary environment combining thin-film growth, AFM/KPFM, electrical characterization
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, engineering or physics. Knowledge: Computational programming, machine learning, quantum transprot, device simulation. Professional Experience: use of device simulation codes applied to 2D materials. Personal
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ICN2 PhD Programme 2026 Programme description: The ICN2 offers a competitive PhD Programme to talented students who wish to develop a research career at one of the top European institutions in
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Physics, Materials Science or an equivalent field, with a background in condensed matter theory or computational nanoscience. Junior postdoctoral profile (R2). Knowledge: Spin-orbit torques and spintronics
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, and École Polytechnique Fédérale de Lausanne. The Nanomedicine Lab also has strong collaborative links and projects with the Center for Nanotechnology in Medicine at the Faculty of Biology, Medicine and
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, and École Polytechnique Fédérale de Lausanne. The Nanomedicine Lab also has strong collaborative links and projects with the Center for Nanotechnology in Medicine at the Faculty of Biology, Medicine and
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call ICN2-SO Technology Valorisation Programme, supported by the Severo Ochoa Grant CEX2021-001214-S/MICIU/AEI/10.13039/501100011033 The selected candidate will contribute to the technical execution
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like the PhD Programme, Postdoc Programme, and other career development related initiatives Requirements: Education: Bachelor's degree in Psychology, Labour Relations, Business Administration, or another
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international recognition from scientific societies or science academies. Cobine strong expertise in theoretical and/or computational methods with proven leadership and management skills. The ability to mentor
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: MSc in Physics, Materials Science, Nanoscience, Computer Engineering, Data Science, Gaming Engineering or a related discipline. · Knowledge: Strong coding skills in Python and knowledge in materials