Smart Sensor Technologies and Training for Radiation Enhanced Applications and Measurements
| German title: | Smart Sensor Technologies and Training for Radiation Enhanced Applications and Measurements | |
| Acronym: | STREAM | |
| Duration: | 1st January 2016 - 31st December 2019 | |
| Description: | STREAM is a 4-year multi-site training network that aims at career development of Early Stage Researchers (ESRs) on scientific design, construction manufacturing and of advanced radiation instrumentation. STREAM targets the development of innovative radiation-hard, smart CMOS sensor technologies for scientific and industrial applications. The platform technology developed within the project will be tested in the demanding conditions posed by the CERN LHC detectors environment as well as European industry leaders in field of CMOS imaging, electron microscopy and radiation sensors. This leveraging factor will allow to fine-tune the technology to meet the requirements of industrial application cases on demand such as electron microscopy and medical X-ray imaging, as well as pathway towards novel application fields such as satellite environments, industrial X-ray systems and near-infrared imaging. The project will train a new generation of creative, entrepreneurial and innovative early-stage researchers and widen their academic career and employment opportunities. The STREAM consortium is composed of 10 research organisations and 5 industrial partners; the network will provide training to 17 ESRs. STREAM structures the research and training in four scientific work-packages which span the whole value-chain from research to application: CMOS Technologies Assessment, Smart Sensor Design and Layout, Validation and Qualification, Technology Integration, and Valorization. |
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| Funded by: | EU | |
| Project sponsor: | Horizon 2020 | |
| Funding code: | H2020-MSCA-ITN-2015 | |
| Contact: | Contact us about this project via our former business unit Silicon Detectors | |
News articles about STREAM: | ||
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“STREAM” – New EU project launched at CiS 25. January 2016 |
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