Various roles within the Multidisciplinary Research Group (MRG) The Next Generation of Smart Cameras (# of pos: 2)

Updated: 3 months ago
Job Type: FullTime
Deadline: 10 Aug 2022

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 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.

The available positions are within the context of a new project where Deep Learning based-computer vision techniques will be used for the development of a vision system that it will be integrated into existing UAVs system. This will include the development of Deep Learning based techniques for the specific computer vision tasks requested in the project and its deployment into embedded system at edge. The available position, which are covering the above needs, are 2:

  • Position 1: Computer Vision Engineer with expertise in Deep Learning and embedded system
  • Position 2: Full-Stack developer
  • The successful candidates will work under the supervision of the Team Leader of the DeepCamera MRG Dr. Alessandro Artusi.

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