Research Assistant in Image Processing or Computer Vision DeepCamera MRG

Applications are invited from candidates who possess the necessary qualifications to fill two (2) full-time research assistant positions at the CYENS Centre of Excellence (DeepCamera group), to investigate in the fields of "Image Processing and Computer Vision". 

 
The CYENS CoE is focusing on multidisciplinary research in the greater area of interactive media and smart systems. 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 Max Planck Institute for Informatics, Germany, and University College London, United Kingdom, hosted by the Municipality of Nicosia. The Centre was set-up with seed 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. 

 
The successful candidates will have the opportunity to conduct research in the areas of image processing, computer vision, and artificial intelligence with applications in high dynamic range imaging, video encoding, color management for complex multimedia systems (e.g. VR/AR, pones, virtual studios), environmental noise removal, image and video evaluation, event cameras and in the broad area of computer vision. They will work with a very active team of researchers, including Dr. Alessandro Artusi (DeepCamera MRG), investigating modern trends and techniques in Image Processing, Artificial Intelligence, Machine Learning and Computer Vision. 
 Position holders are expected to conduct experimental research on the above areas, to collect and analyze experimental results, to conduct bibliographical review of the current literature, to publish/present their research results in prestigious international conferences and journals, and potentially to participate in the preparation of research and innovation proposals.  

We welcome applications from talented and motivated individuals with backgrounds in related fields such as Physics, Mathematics, Engineering, Robotics and Computer Science. 
  

1. Self-motivated with the ability to take initiative and work independently.   

1. Strong organizational, communication, presentation, and negotiation skills, having the ability to deal confidently and politely with enquiries.   

1. Very good analytical skills coupled with attention to detail.   

1. Dynamic, adaptable, hands-on and results driven. 

1. A team player with an ability to work independently and under pressure.  

1. High levels of commitment, energy, and drive. 

1. Excellent communication and interpersonal skills. 

1. Bachelor's degree and/or postgraduate degree in a relevant field (e.g., Computer Science, Engineering, Physics, Mathematics, Artificial Intelligence/Machine Learning) from an accredited institution. 

1. Strong algorithmic background and computer programming skills (e.g., C/C++/Java/C#, Python, Matlab) are a must. 

1. Knowledge of Image Processing and/or Computer Vision technologies will be considered an advantage. 

1. Knowledge of Artificial Intelligence, including Machine Learning and Deep Learning including the usage of relevant environments (e.g., Tensorflow, Pytorch, scikit-learn) will be considered an advantage. 

1. Previous research experience and high impact research publications will be considered an advantage. 

1. Language requirements: Excellent written and oral English-language skills will be required. 

For non-EU applicants a work permit will be required