Data Acquisition Electronics and Optoelectronics for LHC Experiments
We propose a mono-site Initial Training Network (ITN) with CERN as main host institution, and offering research training in the application of advanced microelectronics, optoelectronics, networking and real-time data processing te...
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Descripción del proyecto
We propose a mono-site Initial Training Network (ITN) with CERN as main host institution, and offering research training in the application of advanced microelectronics, optoelectronics, networking and real-time data processing technologies in the world’s state-of-the-art particle detector systems at the Large Hadron Collider (LHC), and a future upgraded Super-LHC (SLHC). This ITN will help strengthen Europe’s human resources in key technologies for enhancing industry competitiveness in domains where there exist technology gaps with other high-tech economies. The LHC will start operation in 2008. The commissioning, operation and future upgrades of the LHC detectors offer tremendous opportunities for research training in an international, multidisciplinary environment. Training projects will have concrete objectives and deliverables in the domains of precision particle tracking systems, electronics and optoelectronics for their readout, switching fabrics and real time processing systems for data acquisition. CERN contributes to overcoming fragmentation in European Research through its well-established international network of universities, partnerships with technology research centres, technology transfer policy, and history of joint developments with industry. This ITN will complement and reinforce that contribution. The young researchers will be supervised by internationally recognized experts and have access to state-of-the-art equipment. Hands-on project training will be supplemented with formal training courses in relevant and related fields, and a wide variety of complementary training courses, colloquia and seminars. Mobility within the ITN will ensure exposure to complementary research and industry environments. Supervision will follow a model similar to CERN’s established and successful Doctoral Student program, in which projects are defined and monitored by a CERN supervisor in collaboration with a university professor.