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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 22 days ago
perovskite–silicon tandem devices. Develop scalable thin-film deposition and large-area module fabrication processes. Conduct device characterisation, performance optimisation and stability testing. Analyse
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fabrication and characterization of thin-film optoelectronic devices Experience with NIR-emitting devices and/or plasmonics/nanophotonics is highly desirable Strong interest in interdisciplinary research and
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processes, plasma polymerization, thin-film deposition, surface functionalization, or materials characterization will be highly valued. Experience with magnetic nanoparticles and techniques such as XPS, FTIR
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. The project includes measurements of microstructured thin-film YIG devices. In particular, the researcher will perform microwave measurements in a dilution refrigerator to characterize magnons in
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is required. Your workplace The Thin Film Physics Division carries out research, undergraduate and postgraduate education within materials physics. https://liu.se/en/organisation/liu/ifm/tunnf
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MSCA Doctoral Network HINA - Hybrid INtegration of Alkaline niobate - tantalate films for advanced photonic and piezoelectric devices | France | 3 months ago
date can be delayed until the end of October 2025. DC8 (Starting date before November 2025): In-situ TEM and spectroscopic studies of KNTN thin films study of phase transitions induced by temperature and
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, applied physics, electrical engineering, chemistry, or a related field by the start date. Hands-on research experience with crystal or thin-film growth, such as CVD, PECVD, MOCVD, MBE, or a comparable
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Institut FEMTO-ST, Université Marie et Louis Pasteur | Ons en Bray, Picardie | France | 3 months ago
waves to design new functionalities on a SAW platform. In addition to the practical learning of thin film growth, characterization and nanofabrication, finite element simulation of SAW devices, the PhD
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. Resposibilities: PhD student supervision; synthesis of molecular precursors and covalent organic frameworks; material and spectroscopic characterization of the obtained materials; preparation of COF thin films and
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The successful candidate will develop generative machine-learning methods for amorphous molecular thin films — the supramolecular structures that govern the performance of organic-electronic materials