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Research Associate – VIDEOMICS FRG

  • Full Time
  • Nicosia, Cyprus
  • Applications have closed

 

Research Associate – VIDEOMICS FRG

Research Personnel      ·        Nicosia      ·        Full time

 

Position: Research Associate
Category: An initial one-year employment contract will be offered with the possibility for renewal depending on performance and project needs.
Location: Nicosia, Cyprus
Preferred Start Date: March 2023 or as soon thereafter
Application Deadline: Remain open until the position is filled 
No. of positions: 1

 

About the position

Position holders are expected to engage in cutting-edge research involving the use of Artificial Intelligence and Statistical Learning techniques for enhanced visualization of Intensive Care Unit (ICU) -data, leveraging state-of-the-art clinical indicators, towards providing the medical experts with informed decision capabilities in a real-time setup. 

The successful candidates will have the opportunity to conduct fundamental and/or applied research in the aforementioned areas. Where applicable, candidates may also participate in the preparation of project reports and deliverables, research proposals for funding, software development, and travel abroad for dissemination activities. Furthermore, successful candidates will be encouraged to publish/present their research results in prestigious international conferences and journals. 

The successful candidate will work under the supervision of Andreas Panayides, FRG Leader, VIDEOMICS: Adaptive Video Processing, Analytics and Communications for Real-Time Applications. 

 

VIDEOMICS: Adaptive Video Processing, Analytics and Communications for Real-Time Applications

Videomics FRG research exploits unique video characteristics to harvest knowledge that is applicable across the spectrum of video technology applications with an emphasis on healthcare innovation. Research areas focus on:

  • Developing codec-agnostic and wireless technology independent adaptive video streaming solutions that are universally applicable for 2D, 3D, and 360 video systems.
  • Mathematically modelling video content and spatiotemporal complexity to derive video segment signatures towards region-of-interest identification and video summarization.
  • Investigating the intersection and collaborative analytics of video compression methods and deep learning architectures.

 

The project 

HOSPAITAL aims to expand an existing platform for monitoring patients in ICUs, where it will allow for core facilities to be shared and linked composing smart services for healthcare professionals, patients, information system managers, and health organization administrations. In particular, HospAItal aims to utilize newly developed methods in the IoT domain enhanced with AI capabilities, for the analysis and monitoring of sepsis in ICUs, through a common open Integration Platform in a set of use cases, in order to evaluate improvements in medical diagnosis, surgical interventions, prevention and treatment of diseases (with a particular focus on intra-ICU sepsis), and support for rehabilitation and long-term care as well as organisation and logistics, all for the benefit of Cyprus.

 

Responsibilities of Research Associate:  

  • Engage in research activities of the HOSPAITAL project and work closely with consortium partners 
  • Prepare and contribute to project reports and deliverables 
  • Participate in the project’s dissemination, communication, and outreach activities 

 

General qualifications and requirements 

  • B.Sc. degree in Computer Science, Computer/ Electrical Engineering, Signal Processing, or related field, from an accredited institution    
  • M.Sc./ Ph.D. degree in a relevant field (e.g., Biomedical Engineering, Medical/ Health Informatics, Artificial Intelligence, Machine Learning, Image Processing) will be considered an advantage 
  • Strong programming skills in languages such as Python, C, C++, C#, R 
  • Statistical/ Machine/ Deep learning expertise and corresponding frameworks knowledge (e.g., Keras, Pytorch, OpenCV, Tensorflow, etc.) will be considered an advantage 
  • Statistical/ Mathematical background will be considered an advantage 
  • Language requirements: Excellent written and oral English-language skills will be required.   

For non-EU applicants a work permit will be required 

 

Profile of the ideal candidate  

  • Self-motivated with the ability to take initiative and work independently.   
  • Strong organizational, communication, presentation, and negotiation skills, having the ability to deal confidently and politely with enquiries.   
  • Very good analytical skills coupled with attention to detail.   
  • Dynamic, adaptable, hands-on and results driven. 
  • A team player with an ability to work independently and under pressure.  
  • High levels of commitment, energy, and drive. 
  • Excellent communication and interpersonal skills. 

 

Benefits 

Take advantage of this opportunity for your professional and personal development by being a part of our fast- growing Research and Innovation Centre of Excellence. A very attractive remuneration package will be offered to the successful candidate according to qualifications and experience. 

 

Application process  

For full consideration, interested applicants should submit the following items via: “Application for Research Associate- VIDEOMICS FRG”: 

Process for Research Associates:  
  • A cover letter which clearly specifies 1) contact details and 2) employment availability date 
  • A detailed curriculum vitae in English. 
  • Copies of academic transcripts  
  • Description of their academic and research experiences as well as any relevant industrial / innovation / entrepreneurship experience, where applicable (500 words maximum). 
  • Contact details of two University professors or one University professor and one industry referee who will provide the letters. 
  • Two (2) representative publications (if applicable). 
  • Two (2) representative innovation outcomes / products (if applicable). 

Incomplete applications will not be accepted.  

 

In case you previously applied for a post at CYENS CoE, a new application is required. 

For general enquiries, applicants may contact the HR Department of CYENS, Centre of Excellence at vacancies@cyens.org.cy . 

 

About CYENS CoE  

 CYENS Centre of Excellence is focusing on Interactive media, Smart systems and Emerging technologies aiming to empower knowledge and technology transfer in Cyprus and wider region. It is a joint venture between the three public universities of Cyprus: the University of Cyprus, the Cyprus University of Technology, and the 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.  

   
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. The Centre conducts excellent, internationally competitive scientific research delivered by 18 high-caliber multidisciplinary research teams. CYENS engages in knowledge transfer and innovation activities aiming to act as an integrator of academic research and industrial innovation, towards the sustainable fueling of the scientific, technological, and economic growth of Cyprus and Europe.  

CYENS Centre of Excellence is an equal opportunity employer and the position is open to everyone, internationally. 

 

All applications are treated in the strictest confidence. 

Deadline: 31 March. 2024

Positions: 1

Location: Nicosia, Cyprus

Type: An initial one-year employment contract will be offered with the possibility for renewal depending on performance and project needs.

 

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