CYENS Centre of Excellence (formerly known as RISE) is the Research Centre of Excellence in Cyprus focusing on Interactive media, Smart systems and Emerging technologies aiming to empower knowledge and technology transfer in the region. It is a joint venture between the three public universities of Cyprus - University of Cyprus, Cyprus University of Technology, and, Open University of Cyprus- , the Municipality of Nicosia, and two renowned international partners, the Max Planck Institute for Informatics, Germany, and, the University College London, United Kingdom. This project has received funding from the European Union’s Horizon 2020 research and innovation programme H2020-WIDESPREAD-01-2016-2017 (Teaming Phase 2) under grant agreement No. 739578, as well as from the Cypriot Government, local and international partners, and other sponsors.
The Centre conducts excellent, internationally competitive scientific research in the areas of visual sciences, human factors and design, communication, and artificial intelligence delivered by high-calibre multidisciplinary research teams. CYENS engages in knowledge transfer and innovation activities aiming to bridge the gap between scientific research and STEM-led innovation and entrepreneurship.
The research focus of CYENS is on interactive media, smart systems, and emerging technologies. Interactive media have become an integral part of our lives, changing the way that information is conveyed to the user and the ways users interact with devices, with other people, and with the world around them. Smart systems have offered a novel way of producing automated solutions to hard problems for which the mere use of the human intellect is insufficient. Research in CYENS integrates the Visual Sciences, Human Factors & Design, and Communications & Artificial Intelligence, in a tight synergy that provides a unique interdisciplinary research perspective that emphasizes an “Inspired by Humans, Designed for Humans” philosophy. CYENS is designed to act as an integrator of academic research and industrial innovation, towards the sustainable fuelling of the scientific, technological, and economic growth of Cyprus and Europe.
The DeepCamera MRG is working on innovative, efficient, and resilient deep-learning based imaging/video and computer vision pipeline/applications tackling the existing drawbacks in all the pipeline stages, e.g., acquisition, encoding/decoding, manipulation/visualization and evaluation. This includes but not limited topics such as image/video enhancement, environmental and adversarial noise removal, super resolution, spatial/temporal upsampling; all aspects of image/video encoding/decoding standards, visual perception (including color), color correction and management, image/video translation, high dynamic range imaging/video; computer vision applications, i.e., monitoring, tracking, identification, classification, segmentation, deepfake; image/video quality evaluation, i.e., objective and subjective, supporting tools for deeplearning developers etc. The outcome of the research will tackle applications such as smart cities, mobile phone, smart devices, head mounted and traditional display technologies, high quality video streaming, technology evaluation, automotive, security, entertainment, agriculture and industry 4.0, first responder etc.
The successful candidate will have the opportunity to conduct applied research in the aforementioned areas. The position holder will also participate in the preparation of research proposals for funding, project reports and deliverables, and travel abroad for dissemination activities. Furthermore, position holders should publish/present their research results in prestigious international conferences and journals and contribute to the research centre’s key performance indicators. We are looking for a candidate with expertise in one or more of the aforementioned areas. He/She will undertake the investigation for the improvement of all the aspects of the modern imaging/video pipeline as well as its applications, investigation of innovative computer vision applications to solve real-world problems.
The successful candidate will work under the supervision of the Team Leader of the DeepCamera MRG Dr. Alessandro Artusi.
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