Research Engineer at KIOS

Nicosia, Cyprus, Cyprus -

Full Time

Start Date

Immediate

Expiry Date

25 Jun, 26

Salary

2700.0

Posted On

27 Mar, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Computer Vision, Deep Learning, Machine Learning, Object Detection, Image Segmentation, PyTorch, OpenCV, Model Optimization, Real-time Inference, Quantization, Pruning, GPU Acceleration, Experimental Design, Technical Reporting, Problem Solving, Team Player

Industry

Research Services

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. 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. 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. 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). The University of Cyprus (UCY) is committed to promoting inclusivity, diversity, and equality, as well as the elimination of all forms of discrimination in order to provide a fair, safe, and pleasant environment for the entire university community, where students and staff members will feel supported both in their professional and personal development, within and beyond their multiple identities. To this end, UCY seeks to create the necessary conditions that will encourage and respect diversity and ensure dignity both in the workplace and society at large. Moreover, UCY has adopted specific policies to promote equal opportunities, as well as respect and understanding of diversity, while it is committed to promoting and maintaining a working, teaching, and learning environment, free from any form of discrimination, whether direct or indirect. For more information, please contact the KIOS Center of Excellence, by phone at +357 22893460 or via e-mail at kioshiring@ucy.ac.cy.

Responsibilities

The successful candidates will conduct research in computer vision and deep learning, which involves literature review, hypothesis formulation, and designing, implementing, and training machine learning models for tasks like object detection and image segmentation. They are also expected to develop scalable training pipelines, perform experimental evaluation, deploy systems in pilot sites, and contribute to scientific publications and open-source projects.