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areas of nanoscience and nanotechnology. Job title: PhD Student in Computational Materials Science Research area or group: Theory and Simulation Group Description of Group/Project: The Theory and
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areas of nanoscience and nanotechnology. Job Title: Postdoctoral Researcher (Computational Materials Science - AI for Catalysis) Research area or group: Theory and Simulation Group The Australia-Spain
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PhD position funded by AEI agency (Spanish Government) TOPIC: Magneto-ionics for information technologies: secure and energy-efficient memories and advanced computing A PhD position is available
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ICN2 PhD Programme 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 the field
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Research Engineer - Tools developer for LSQUANT platform (Theoretical and Computational Nanoscience)
different areas of nanoscience and nanotechnology. Job Title: Research Engineer - Tools developer for LSQUANT platform Research area or group: Theoretical and Computational Nanoscience Group Description
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areas of nanoscience and nanotechnology. Job Title: Research Assistant - AI Optimisation for Materials Design Research area or group: Theoretical and Computational Nanoscience Group Description of Group
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to) SIESTA (www.siesta-project.org) and its TranSIESTA functionality. SIESTA is a multi-purpose first-principles method and program, based on Density Functional Theory, which can be used to describe the atomic
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) is a training program offering 28 Postdoctoral Fellowships focusing on Planetary Wellbeing and connecting Spanish and Australian research communities. Applicants are invited to propose a research
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nanoscience and nanotechnology. The successful candidate will establish an independent research program within the vibrant intellectual environment of ICN2. The program should be focused on optical and
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(S)TEM. Requirements: Education: MSc in Physics, Materials Science, Nanoscience, Computer Engineering, Data Science. Knowledge: Deep expertise in electron microscopy, particularly STEM and FIB methods