Pernegger, Heinz and Wermes, Norbert and Mele, Luigi and Capeans, Mar and Zaffaroni, Ettore and Mehner, Barbara and Jonak-Auer, Ingrid (2018) Innovating Advanced Radiation Instruments. Impact, 2018 (1). pp. 54-56. ISSN 2048-416X
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Abstract
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 the 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.
Item Type: | Article |
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Additional Information: | Impact is published under a CC-BY Creative Commons licence. |
Keywords: | CERN; ELECTRON MICROSCOPY; ENTREPRENEURSHIP; H2020; H2020 TECHNOLOGY R&D; INNOVATION; ITN; KNOWLEDGE TRANSFER; MATERIALS PHYSICS; PLASMA PHYSICS AND MATERIALS SCIENCE; RADIATION; RADIATION INSTRUMENTATION; SMART SENSORS; TECHNOLOGY COMPETENCE LEVERAGING; WU WIEN |
Divisions: | Departments > Strategy and Innovation > Entrepreneurship und Innovation |
Version of the Document: | Published |
Depositing User: | Gertraud Novotny |
Date Deposited: | 13 Sep 2018 11:46 |
Last Modified: | 13 Sep 2018 13:01 |
Related URLs: | |
FIDES Link: | https://bach.wu.ac.at/d/research/results/86973/ |
URI: | https://epub.wu.ac.at/id/eprint/6507 |
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