RESPONSIBILITIES

Department: Research / DeepCamera

No. Of Positions: 1

Reporting Line: Research Team Leader

Contract Type: An initial one-year fixed term employment contract will be offered with the possibility for renewal. Full Time

basis.

Duration of project: 36 months (September 2026 – August 2029)

Location: Nicosia, Cyprus

Indicative Annual Gross Salary Range: €18,000 – €23,000 The salary will be determined based on qualifications, experience, and

suitability for the role.

Preferred Start Date: July 2026, or as soon as possible.

Application Deadline: 19th of June 2026. Applications will be reviewed on a rolling basis.

About the project / position:

The successful candidate will work in the area of AI-based underwater image analysis and marine species detection. Marine

biodiversity monitoring currently relies on large volumes of underwater video footage that must be manually analysed, a process

that is time-consuming and prone to variability. Advances in artificial intelligence and computer vision provide the opportunity

to automate species detection and classification, significantly improving efficiency and consistency in marine ecological

assessments. In this role, the successful candidate will develop, train, and validate deep learning models for automated detection

and classification of marine species from underwater imagery and video datasets. The position is part of the EU-funded ATLANTIS

project (I3–ERDF), developing underwater technologies for marine monitoring and sustainable blue-economy applications.

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.

Key Responsibilities:

1. Perform data curation, preprocessing, and quality control of underwater imagery and video datasets, in collaboration with

marine experts

2. Design, train, and evaluate deep learning models for automated detection and classification of marine species

3. Develop computer vision pipelines for video processing and model inference

4. Evaluate model performance using quantitative metrics

5. Contribute to the integration of AI-based detection models into operational biodiversity monitoring workflows and data

analysis pipelines

6. Collaborate with project partners and contribute to the preparation of deliverables, technical reports, and dissemination

materials

7. Contribute to other activities of the research group and the Centre

YOUR PROFILE

Skills and Competencies

The ideal candidate will be:

1. Ability to work independently, meet deadlines, and collaborate effectively within an interdisciplinary team

2. Strong organisational and problem-solving skills

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

4. Strong organizational, communication, presentation, and negotiation skills, having the ability to deal confidently and

politely with enquiries.

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

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

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

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

9. Excellent communication and interpersonal skills.

GENERAL QUALIFICATIONS AND REQUIREMENTS

Key requirements

Essential Requirements

1. M.Sc. / Ph.D. in Computer Vision, Artificial Intelligence, Computer Science, Data Science, Machine Learning, Robotics, or a

closely related field, or in related area.

2. 3 years of relevant experience required

3. Demonstrated experience in applied research in artificial intelligence or computer vision

4. Experience in experimental design, model training, and quantitative evaluation of machine learning systems

5. Evidence of scientific writing and dissemination (e.g. peer-reviewed journal publications, conference presentations)

6. Strong programming skills in Python, with experience using deep learning frameworks (e.g. PyTorch or TensorFlow)

7. Experience in computer vision and image or video analysis

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

9. For non-EU applicants a work permit will be required

Desirable Qualifications

The following will be considered an advantage:

1. Experience with object detection or image segmentation models (e.g. YOLO, Mask R-CNN, Detectron2, etc.)

2. Experience working with large image or video datasets and annotation tools (e.g. CVAT)

3. Familiarity with Linux-based computing environments and version control systems (e.g. Git)

4. Experience with data augmentation, transfer learning, or domain adaptation techniques

5. Prior experience with environmental monitoring, marine datasets, or remote sensing imagery

6. Previous research experience and high impact research publications on relevant topics (a requirement for PhD holders/an

advantage for non-PhD holders).

WHY US?

What CYENS Offers

CYENS offers the opportunity to work at the forefront of research and innovation within a dynamic, multidisciplinary, and

international environment. Researchers benefit from collaboration with leading academic and industry partners, participation in

high-impact national and European projects, access to state-of-the-art infrastructure, and opportunities for professional growth

and scientific excellence.

APPLICATION PROCESS

Application process

For full consideration, interested applicants should submit the following items via the online application form and clearly

indicate the position title in their application:

1. Full CV (including contact details).

2. Cover letter outlining:

1. your suitability for the role

2. your motivation for applying;

3. your earliest available start date, part-time or full-time availability

4. Research Group (s) of interest in order of priority

5. contact details of two referees.

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. Two (2) representative publications (if applicable).

6. Two (2) representative innovation outcomes / products (if applicable).

Important Information

Incomplete applications will not be considered.
Applicants who have previously applied for a position at CYENS are required to submit a new application.
All applications will be treated in the strictest confidence.
CYENS Centre of Excellence is an equal opportunity employer and welcomes applications from candidates worldwide.

CONTACT DETAILS

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

Roll

Research Assistant in AI-based Image Analysis

Kategori

Research

Plats

Centre of Excellence

Publicerad

17 juli

Sista ansökningsdag

16 augusti

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Research

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Research Associates - Elevate Project

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Centre of Excellence•Publicerad: 17 juli•Sista ansökan: 16 aug.

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Research Assistant - Language Technologies and AI (Pharos-CY Project)

CYENS Centre of Excellence

Centre of Excellence•Publicerad: 17 juli•Sista ansökan: 16 aug.

RESPONSIBILITIES Research Group / Project: Visual Computing Group / Pharos-CY Category: An initial one-year full time employment contract will be offered with the possibility for renewal depending on performance and project needs. Location: Nicosia, Cyprus Preferred Start Date: June or as soon thereafter. Application Deadline: 31/07/2026. Applications will be reviewed on a rolling basis. No. Of Positions: 1 Salary Range: Depending on qualifications and experience. About the project / position: CYENS Centre of Excellence is seeking to recruit a Research Assistant to join the Visual Computing Group and contribute to the Pharos-CY project. Pharos-CY aims to support the development and deployment of advanced, trustworthy, and human-centric AI technologies in Cyprus and the wider region. Within this context, CYENS contributes expertise in visual computing, interactive technologies, AI-enabled data services, digital twins, visual analytics, and applied research that can support both the public and private sectors. The successful candidate will work on research and development activities related to language and AI for Pharos-CY, including areas such as natural language processing, speech processing, multilingual AI, and retrieval-augmented generation. The successful candidate may also contribute to the preparation of project reports and deliverables, research proposals, software prototypes, stakeholder engagement activities, and dissemination of research results. Where applicable, the candidate will be encouraged to publish and present research outputs in international conferences, journals, workshops, and project events. Position holders are expected to contribute to both the research and applied innovation objectives of Pharos-CY, working closely with CYENS researchers, project partners, public-sector stakeholders, private-sector users, and other relevant actors in Cyprus’ AI and data ecosystem. The successful candidate will work under the supervision of the Visual Computing Group Leader. Responsibilities of Research Assistant: 1. Conduct research and development in natural language processing, speech processing, machine learning, generative AI, or related areas relevant to Pharos-CY.. 2. Design, implement, test, and document software prototypes, tools, pipelines, and services that support Pharos-CY use cases. 3. Work with text, speech, audio, or other domain-specific datasets, including data preparation, annotation, processing, analysis, and visualization. 4. Contribute to the development of AI-ready datasets and data services that may be used by public-sector and private-sector stakeholders. 5. Support the integration of speech-to-text, subtitling, diarisation, transcription, summarisation, translation, and text classification pipelines.. 6. Participate in project meetings, technical discussions, reporting activities, and coordination with Pharos-CY partners. 7. Contribute to project deliverables, technical documentation, presentations, demonstrations, and dissemination material. 8. Assist in the preparation of scientific publications, research proposals, and innovation activities related to the project. 9. Engage with stakeholders to understand real-world needs and translate them into technical requirements, prototypes, or research tasks. 10. Support the wider activities of the Visual Computing Group and CYENS Centre of Excellence, where relevant. YOUR PROFILE Profile of the ideal candidate: 1. Self-motivated, with the ability to take initiative and work independently. 2. Able to work effectively as part of an interdisciplinary research and development team. 3. 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Experience in one or more of the following areas: natural language processing, speech processing, computational linguistics, machine learning, deep learning, generative AI, large language models, or AI-enabled software development. 3. Strong programming skills, preferably in Python and/or C++. Experience with relevant libraries and frameworks such as PyTorch, TensorFlow, Hugging Face, Transformers, NLTK, scikit-learn, Pandas, NumPy, LangChain, Whisper-family tools, or similar will be considered an advantage. 4. Experience with data processing pipelines, APIs, databases, cloud tools, or software engineering practices will be considered an advantage. 5. Ability to read, understand, and apply technical and scientific literature. 6. Computer literacy and ability to work with collaborative software development tools, such as Git. 7. Excellent written and oral English-language skills. 8. For non-EU applicants, a work permit will be required. Specific requirements for Research Associate positions: 1. University Degree (Bachelor's degree and/or postgraduate degree), in Computer Science, Artificial Intelligence, Natural Language Processing,, Machine Learning, Data Science, Computer Engineering, Speech Technology, or a related area. 2. Strong programming skills in at least one of the following languages: Python. 3. Experience with one or more of the following: NLP, LLMs, speech-to-text, automatic speech recognition, subtitling, text classification, information extraction, summarisation, translation, corpus development, information retrieval, RAG, or AI-enabled language applications. 4. Experience with AI and machine learning frameworks such as PyTorch, TensorFlow, Hugging Face, Transformers, scikit-learn, or similar. 5. Ability to independently identify technical problems and carry out research and development work within the scope of the Visual Computing Group and Pharos-CY. 6. Ability to work with domain experts and stakeholders to identify needs, define use cases, and support applied research activities. 7. Previous research experience and high-impact publications on relevant topics will be considered an advantage, especially for PhD holders. 8. Previous industrial, innovation, entrepreneurship, or grant-writing experience will be considered an advantage. 9. Experience with EU-funded or nationally funded research projects will be considered an advantage. 10. Experience with data governance, trustworthy AI, explainable AI, secure data handling, or responsible AI practices will be considered an advantage. WHY US? TAKE ADVANTAGE OF THIS OPPORTUNITY FOR YOUR PROFESSIONAL AND PERSONAL DEVELOPMENT BY BEING PART OF A FAST-GROWING RESEARCH AND INNOVATION CENTRE OF EXCELLENCE. A competitive remuneration package will be offered to the successful candidate according to qualifications and experience. The successful candidate will have the opportunity to work in an interdisciplinary environment, collaborate with leading researchers and innovators, contribute to a strategic AI initiative for Cyprus, engage with real-world stakeholders, and participate in high-impact research and innovation activities. 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 Assistant - Language Technologies and AI - Visual Computing Group / Pharos-CY”: Process for Research Associates: 1. A cover letter which clearly specifies 1) contact details, 2) employment availability date 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 one University professor or one industry referee who will provide the reference letters. 6. One (1) representative publications. 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 .

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Research Assistant ViWAS Project (Education & Training)

CYENS Centre of Excellence

Centre of Excellence•Publicerad: 17 juli•Sista ansökan: 16 aug.

RESPONSIBILITIES Department: Innovation / Education and Training No. Of Positions: 1 Full-Time Researcher Reporting Line: Education and Training Manager Contract Type: Fixed Term project-based contract. An initial one-year employment contract will be offered with the possibility for renewal. Duration of project: 48 months (01/05/2026 – 31/05/2030) Location: Nicosia, Cyprus Indicative Annual Gross Salary Range: €18000 – €30,000. The salary will be determined based on qualifications, experience, and suitability for the role. Preferred Start Date: August 2026, or as soon as possible. Application Deadline: (2 weeks) 12th of July 2026. Applications will be reviewed on a rolling basis. About the project / position: CYENS Centre of Excellence is seeking a highly motivated Research Assistant to join the Education & Training team within the Virtual Worlds Academy of Skills (ViWAS), a large-scale European initiative funded by the Digital Europe Programme. PhD candidates are strongly encouraged to apply. The successful candidate will contribute to research and development activities at the intersection of Virtual Worlds, immersive technologies (XR), digital skills, education, and workforce development. The position offers an excellent opportunity to gain and further develop research experience while actively participating in a major European project involving leading academic institutions, research centres, industry partners, and policy stakeholders across Europe. The candidate will work closely with the ViWAS coordination team and international experts, contributing to the development of innovative frameworks, research studies, educational programmes, and evidence-based policy recommendations supporting the adoption of Virtual Worlds across multiple sectors. Candidates are expected to demonstrate research engagement appropriate to their career stage, including experience with literature reviews, research design, data collection and analysis, academic writing, project deliverables, presentations, and/or publications. Key Responsibilities: The Research Assistant will be involved in aspects of the following: * Conduct quantitative and qualitative research related to digital skills, Virtual Worlds, XR technologies, education and future workforce needs. * Contribute to the design, development, validation, and continuous improvement of the ViWAS Competence and Qualification Framework (CQF). * Perform literature reviews, and policy analyses related to skills development and emerging technologies. * Support research design, data collection, analysis, interpretation, and reporting activities. * Contribute to the preparation of scientific publications, conference papers, project deliverables, and research reports, and policy-oriented outputs. * Participate in the design, piloting, evaluation, and continuous improvement of educational programmes, curricula and micro-credentials for Higher Education, Vocational Education and Training (VET), and lifelong learning. * Collaborate with project partners, researchers, educational institutions, industry representatives, and policy stakeholders across Europe. * Support dissemination, communication, and stakeholder engagement activities. GENERAL QUALIFICATIONS AND REQUIREMENTS Key requirements Essential Requirements: 1. MSc/MA or PhD in Education, Educational Technology, Learning Sciences, Human-Computer Interaction, or another relevant field aligned with the responsibilities and activities of the position. 2. Knowledge of qualitative and/or quantitative research methods. 3. Ability to conduct literature reviews, collect and analyse research data, and synthesise findings. 4. Excellent written and oral communication skills in English. 5. Familiarity with Virtual, Augmented, and Extended Reality (VR/AR/XR) technologies, applications, and devices. 6. Ability to work both independently and collaboratively within an international and multidisciplinary environment. 7. Language requirements: Excellent written and oral English-language skills will be required. 8. For non-EU applicants a work permit will be required Research/Academic Requirements: * Experience conducting literature reviews and synthesizing research findings. * Experience presenting academic or professional work in seminars, workshops, conferences, or educational settings will be considered an advantage. * Evidence of interest in research related to Virtual Worlds, immersive technologies (VR/AR/XR), digital skills, educational innovation, learning technologies, or emerging technologies. * Experience contributing to research deliverables, reports, publications, or project outputs will be considered an advantage. * Participation in national or European research and innovation projects is desirable but not essential. Desirable Qualifications The following will be considered an advantage: * Experience in EU-funded projects. * Experience in educational technology, XR technologies, digital skills development, or curriculum design. * Experience in preparing research reports, policy briefs, project deliverables, or academic publications. * Familiarity with European education, skills, innovation, or digital policy initiatives. * Experience in higher education, vocational education and training (VET), or lifelong learning contexts. WHY US? What CYENS Offers CYENS offers the opportunity to contribute to cutting-edge European research and innovation in a dynamic, multidisciplinary, and international environment. The successful candidate will work alongside leading academic institutions, research centres, industry partners, and policy stakeholders across Europe, contributing to the development of innovative solutions that shape the future of Virtual Worlds, digital skills, and education. The position provides valuable hands-on research experience, opportunities for professional and academic development, exposure to high-impact European projects, and access to a collaborative environment that fosters learning, innovation, and scientific excellence. APPLICATION PROCESS Application process For full consideration, interested applicants should submit the following items via the online application form and clearly indicate the position title in their application: 1. Full CV (including contact details). 2. Cover letter outlining: 1. your suitability for the role 2. your motivation for applying; 3. contact details of two referees. 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. Two (2) representative publications (if applicable). 6. Two (2) representative innovation outcomes / products (if applicable). Important Information * Incomplete applications will not be considered. * Applicants who have previously applied for a position at CYENS are required to submit a new application. * All applications will be treated in the strictest confidence. * CYENS Centre of Excellence is an equal opportunity employer and welcomes applications from candidates worldwide. CONTACT DETAILS Enquiries For general enquiries, applicants may contact the HR Department at vacancies@cyens.org.cy.

Research