16 educational-technology-"https:"-"https:"-"https:"-"https:"-"https:" research jobs at ICN2
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challenges and contribute to publications in high-impact scientific journals. Requirements: Education: PhD in Physics, Materials Science, Nanotechnology, Electrical Engineering, or a closely related field at
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devitrification and local transformations; analyze results and prepare publications. Requirements: Education: PhD in Physics, Materials Science, Nanoscience, Physical Chemistry, Electrical Engineering, or a closely
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(AEMD) group focuses on the material sciences and technology aspects of novel electronic materials, with a strong emphasis on graphene as well as other 2D materials (MoS2). The group also works towards
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Devices (AEMD) group focuses on the material sciences and technology aspects of novel electronic materials, with a strong emphasis on graphene as well as other 2D materials (MoS2). The group also works
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existing experimental results and guide the design of future carbon-based electronic and optoelectronic devices. Requirements: Education: Master in materials science or engineering, PhD in materials science
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Nanobioelectronics and Biosensors Group at ICN2 is focused on the discovery and technological development of cutting-edge nanotechnology towards diagnostics, food and safety and environmental applications. The group
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and Biosensors Group at ICN2 is focused on the discovery and technological development of cutting-edge nanotechnology towards diagnostics, food and safety and environmental applications. The group
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programme. Requirements: Education: PhD in chemistry, chemical engineering, materials science, biochemistry or equivalent. Knowledge: Extensive expert use of an array of physicochemical and materials
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behavior of catalytic nanomaterials critical for green hydrogen and energy technologies. The candidate will design and perform real-time in-situ TEM experiments using gas and liquid sample environments
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microscopy, and conductive force microscopy); surface characterization (XPS), advanced computing concepts (neuromorhpic, stochastic, probabilistic); data security; energy-efficient information technologies