Research Engineer (Computer Vision)

Updated: 25 days ago
Job Type: FullTime
Deadline: 24 Apr 2026

26 Mar 2026
Job Information
Organisation/Company

University of Cyprus
Department

KIOS Research and Innovation Center of Excellence
Research Field

Computer science
Engineering » Electrical engineering
Researcher Profile

First Stage Researcher (R1)
Positions

Bachelor Positions
Application Deadline

24 Apr 2026 - 17:00 (Europe/Athens)
Country

Cyprus
Type of Contract

To be defined
Job Status

Full-time
Is the job funded through the EU Research Framework Programme?

Other EU programme
Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Title: Special Scientist for Research (Research Engineer)
No. of Positions: Two (2)
Category: Employment contract
Location: University of Cyprus, Nicosia, Cyprus

The KIOS Research and Innovation Center of Excellence at the University of Cyprus announces two (2) full time Special Scientist for Research (Research Engineer) positions, in Computer Vision. The successful candidates will join multidisciplinary teams and contribute to cutting-edge research and innovation projects, such as EvoRoads (safer and more resilient road systems through intelligent sensing) and AutoTRUST (AI solutions for safe and trustworthy autonomous mobility). 

Who we are:
The KIOS Research and Innovation Center of Excellence is the largest research center of its kind in Cyprus and one of Europe’s leading Center of Excellence that combines world-class academic research with real-world application through its innovation-driven environment. Currently, the Center employs more than 200 people who are supported by externally funded research and innovation projects and has strong international collaborations, translating advanced research into impactful solutions. The KIOS CoE operates in a diverse environment as an equal opportunity employer.

What we do:
KIOS provides an inspiring environment for carrying out top level research and innovation in the area of Information and Communication Technologies, with emphasis on the Monitoring, Control and Security of Critical Infrastructures. Such infrastructures include power and energy systems, water networks, transportation networks, telecommunication networks and emergency management and response. The Center instigates interdisciplinary interaction and promotes collaboration between industry, academia, and research organizations in high-tech areas of global importance.

Why work at KIOS:
You will contribute to high-profile projects, both locally and globally, with opportunities to publish in top-tier journals and conferences, grow professionally, and take ownership in a dynamic, intellectually rigorous environment. You will collaborate closely with leading academics and multidisciplinary teams, advancing cutting-edge research and translating it into real-world deployments across critical infrastructure systems, while seeing your work delivering tangible impact on today’s most important challenges. We offer a flexible and supportive environment, along with opportunities for continuous training and professional development.

Job Details

The successful candidates are expected to:
• Conduct research in computer vision and deep learning, including literature review, hypothesis formulation, and experimental design.
• Design, implement, and train machine learning models for tasks such as object detection, recognition, and image segmentation.
• Develop scalable training pipelines and optimize models for real-time or resource-constrained environments.
• Perform experimental evaluation, benchmarking, and ablation studies to analyze model performance.
• Perform installations, set-up and deployment of hardware and software.
• Collaborate with other teams to deliver real deployments in pilot sites and proof of concept production systems.
• Review and maintain existing modules, tools and systems.
• Prepare technical reports, research papers, and presentations to communicate results internally and externally.
• Prepare manuals and guidelines.
• Contribute to scientific publications, conferences, and open-source projects related to computer vision and AI.
• Participate in project meetings and dissemination events.


Where to apply
Website
https://applications.ucy.ac.cy/recruitment

Requirements
Research Field
Computer science
Education Level
Bachelor Degree or equivalent

Research Field
Engineering » Electrical engineering
Education Level
Bachelor Degree or equivalent

Skills/Qualifications

Profile of the ideal candidate:
• Problem solver
• Team-player
• Reliable and trustworthy
• Flexible and eager to learn
• Able to adapt in a fast-paced dynamic environment
• Good communication, organizational and self-management skills
• Very good knowledge of the English language

Qualifications and Experience:
• Bachelor’s and/or Master’s Degree in Computer Science, Electrical Engineering, Robotics, or a related field from an accredited institution with coursework or research experience in computer vision or machine learning.
• Experience optimizing models for real-time inference on edge and embedded platforms using techniques such as quantization, pruning, and GPU acceleration.
• Experience developing and training deep learning models using PyTorch, OpenCV, and related CV frameworks.


Languages
ENGLISH
Level
Excellent

Research Field
Computer scienceEngineering » Electrical engineering

Additional Information
Benefits

Employment Terms:
The positions are on a contract basis. Initially, a one-year contract will be offered, with a 6-month probation period, which is renewable based on performance. The gross monthly salary depends on the candidate’s qualifications and experience and will be between €1900 – €2700. From this amount, employee contributions to the Cyprus government funds will be deducted. A 13th salary bonus is incorporated in the monthly salary. Maternity leave will be granted based on Maternity Protection Law 1997(Ν.100(Ι)/1997), and the existing amendment laws.


Selection process

Application:
Interested candidates should submit the following items online through the link:
https://applications.ucy.ac.cy/recruitment
• Cover letter explaining the interest of the applicant in pursuing a career at the KIOS CoE, along with employment availability date, in English
• Short summary of prior work experiences, activities and accomplishments (can be combined with the cover letter), in English (2 pages maximum)
• A detailed curriculum vitae in English
• Copies of transcripts of BSc/MSc or other degree(s)
• Copy of an English language certificate (if any of your degrees were taught in English, this will be considered equivalent to an English language certificate)
• Contact details of at least two referees that can provide reference letters

The applications should be submitted as soon as possible, but not later than Friday, 24th of April 2026, at 5 pm. The evaluation of the applications will begin immediately. At least the best three candidates that satisfy the required qualifications will be interviewed by a 3-member Selection Committee. Candidates will be informed of the result of their application by the KIOS CoE.
Applicants need not be citizens of the Republic of Cyprus. Applicants should however ensure, before applying, that in case they are selected they will be residing in Cyprus on a full-time basis during the employment period and submission of application implies acceptance of this condition. The employment of persons who have reached the age of 65 years old, at the commencement date of employment, is prohibited.

The University of Cyprus shall collect and process your personal data according to the provisions of the General Regulation on Personal Data 2016/679 (EU).


Work Location(s)
Number of offers available
2
Company/Institute
University of Cyprus
Country
Cyprus
Geofield


Contact
City

Nicosia
Website

http://www.kios.ucy.ac.cy/
Street

P.O.Box 20537, Nicosia, Cyprus
Postal Code

CY-2109
E-Mail

kioshiring@ucy.ac.cy
Phone

+357 22893460

STATUS: EXPIRED

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