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Research Associate – REINFORCE Project

CYENS - Centre of Excellence
Full or part-time
Fixed-term
21,000 - 42,000 € per year

Responsibilities

Position: Research Associate – REINFORCE Project 

Research Group / Project: VIDEOMICS

Category: An initial one-year (part time or full time) employment contract will be offered with the possibility of renewal.

Location: Nicosia, Cyprus

Preferred Start Date: June 2026 or as soon thereafter.

Application Deadline: 2nd of June 2026. Applications will be reviewed on a rolling basis.

No. Of Positions: 1

Salary Ranges and Ranks:  

Research Assistant: €21,000 - €32,000

Research Associate: €28,000 - €42,000

Senior Research Associate: €38,000 - €42,000

 The offer will be determined based on the successful candidate’s seniority and relevant experience.


  • Contribute to project activities, particularly the coordination of healthcare pilot studies involving the deployment and validation of cybersecurity solutions developed within the REINFORCE project on healthcare partners’ software systems. 
  • Support the development of digital health and cybersecurity literacy resources, including training and educational material tailored to specific stakeholder groups. 
  • Prepare project documentation, technical reports, user manuals, and material related to scientific, technical, training, and dissemination activities. 
  • Participate in internal project meetings, collaborative planning sessions, and interdisciplinary discussions with project partners and stakeholders. 
  • Assist in monitoring project progress and conducting evaluation and assessment tasks within the project. 
  • Support the implementation, testing, and validation of AI-driven and cybersecurity-related solutions within healthcare environments. 
Profile of the ideal candidate – select relevant qualities required for specific role: 
  • Demonstrated ability to work effectively both independently and collaboratively within multidisciplinary teams. 
  • Strong analytical, organizational, communication, and time-management skills. 
  • Proactive, adaptable, and capable of responding effectively to evolving project requirements and priorities. 
  • Strong problem-solving skills and attention to detail. 
  • Ability to communicate technical concepts clearly to both technical and non-technical audiences.

Your profile

About the project / position:

Project Title: AI-Enhanced Ecosystem for Reinforcing Cybersecurity in the European Healthcare Sector

Short Description:

The REINFORCE project addresses critical gaps in cybersecurity preparedness and resilience in the European healthcare sector by providing an AI-driven ecosystem that enhances healthcare providers' abilities to prevent, detect, and respond to sophisticated cyber threats. Its vision is a cyber-secure healthcare environment where organizations remain resilient to evolving risks and ensure the uninterrupted delivery of critical services.

The project is structured around four core pillars, validated in real-world healthcare environments: (i) systematic vulnerability assessment and security requirements mapping; (ii) Secure-by-Design framework implementation; (iii) AI-enabled real-time incident detection and response; and (iv) comprehensive cybersecurity training and awareness programs. These are supported by innovative technologies including advanced encryption, zero-trust architectures, and AI/ML solutions, complemented by tailored training for diverse healthcare stakeholders.

A brief description of the MRG will be added - info from website.

General qualifications and requirements

General qualifications and requirements:
  1. Minimum requirement: A B.Sc. and/or M.Sc. degree in Computer Science, Computer Engineering, Electrical Engineering, Signal Processing, or a related field from an accredited institution. 
Preferred qualifications: 
  1. An M.Sc. degree in a relevant field (e.g., Artificial Intelligence, Machine Learning, Biomedical Engineering, Medical/Health Informatics, Cybersecurity) will be considered an advantage. 
  2. Strong programming skills in one or more languages such as Python, C, C++, C#, or R. 
  3. Experience with statistical, machine learning, and deep learning methodologies, as well as related frameworks and libraries (e.g., PyTorch, TensorFlow, Keras, OpenCV), will be considered an advantage. 
  4. Statistical and mathematical background will be considered an advantage. 
  5. Experience in image and video processing and analysis will be considered an advantage. 
  6. Knowledge and/or practical experience in cybersecurity technologies, methodologies, and best practices will be considered an advantage. 
  7. Project management skills will be considered an advantage.
  8. Language requirements: Excellent written and oral English-language skills will be required.  
  9. For non-EU applicants a work permit will be required

Why us?

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

Application process 

For full consideration, interested applicants should submit the following items via the online application form and mention the position you are applying for: “Application for Research Associate – REINFORCE Project”:

 

Process for Research Associates: 

  1. A cover letter which clearly specifies 1) contact details, 2) employment availability date, 3) part-time or full-time availability, and 4) MRG(s) of interest in order of priority
  2. A detailed curriculum vitae in English.
  3. Copies of academic transcripts 
  4. Description of their academic and research experiences as well as any relevant industrial / innovation / entrepreneurship experience, where applicable (500 words maximum).
  5. Contact details of two University professors or one University professor and one industry referee who will provide the letters.
  6. Two (2) representative publications (if applicable).
  7. Two (2) representative innovation outcomes / products (if applicable).

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

Contact details

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


About us

CYENS Centre of Excellence (formerly known as RISE) is the Research and Innovation Centre on Interactive media, Smart systems and Emerging technologies empowering knowledge and technology transfer in the region. CYENS CoE is supported by the European Commission, the Republic of Cyprus and its founding Partners, the Municipality of Nicosia, the Max Planck Institute for Informatics (MPI), University College London, the University of Cyprus, the Cyprus University of Technology and the Open University of Cyprus.   


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. 


 CYENS, as a Centre of Excellence, cultivates a culture of innovation and creativity in an inspiring environment filled with academics, researchers, creative and onward-looking people, innovators, entrepreneurs, and practitioners. The Centre operates under the moto “Inspired by Humans Designed for Humans” with the vision to produce world class research that drives innovation towards social and economic benefit while conducting excellent, internationally competitive scientific research in the areas of visual sciences, human factors and design, communication, and artificial intelligence. It sets out to meet the challenge with a total potential funding of more than 30 million Euros for the first 7 years, from a Horizon 2020 Teaming Action and multiple other sources, and a business plan for long-term sustainability and growth.