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Special Teaching Staff in Computer Science

01

Visiting or Special Teaching Faculty

The School of Technology and Innovation at the University of Limassol is seeking to engage visiting or special teaching faculty to teach part-time in its Bachelor’s and Master’s programs:

Terms and conditions

Upon employment, the selected applicants must be able to teach one or more courses in the Limassol campus of the University and follow the University’s learning and teaching processes. Distance learning courses are taught remotely.

Remuneration competitive depending on qualifications and experience.

Qualifications required

  • Preferably a Doctorate or a Master’s degree (in the case of BSc program teaching) in Computer Science, Computer Engineering, Information Systems or related areas.
  • Excellent written and oral communication skills; prior teaching experience an advantage

Applications

If you believe you are a suitable candidate, we would be pleased to hear from you.

All applications will be handled with the utmost confidentiality. Only shortlisted candidates will be contacted.

Ready for your next big step?

Please complete the form below and attach the relevant documents requested.

Personal Information

All fields are required.

Education: University degrees

PhD:
Master:
Bachelor:

Teaching and research

Employment

Courses Taught in the past

Course 1
Course 2
Course 3
Course 4
Course 4

Courses qualified and willing to teach at UoL

Refereed journal papers, monographs, books, conference publications (if any)

Other Achievements

Other Achievements
Research Projects
Awards & international recognitions

Documentation

All fields are required.

Please upload all necessary documentation below.
Upload your Cover Letter.
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Select a PDF file to upload (max. 100MB).
Upload your CV.
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Select a PDF file to upload (max. 100MB).
Upload your teaching evaluations of ecent years (if available).
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Select a PDF file to upload.

Call Center

CYPRUS

GREECE

INTERNATIONAL

Informed Consent Form

Dear Participant,

You are invited to participate in a survey as part of the DiFiCy – Digital Transformation and FinTech: Shaping Cyprus’s Economy research project which is implemented by the University of Limassol, PwC Cyprus and Unity Growth Limited.

The project is co-funded by the European Union within the framework of the Cohesion Policy Programme “THALIA 2021-2027” through the Research and Innovation Foundation (RIF) in Cyprus [Pr. number: EXCELLENCE/0524/0568].

The study has been approved by the National Bioethics Committee of Cyprus (Approval no.: EEBK EΠ 2025.01.19 )

This project explores digital transformation and FinTech adoption in Cyprus, with a particular focus on SMEs and the broader business ecosystem. It uses a mixed-methods research design, combining survey data with interviews and case study evidence to generate evidence-based insights for policymakers and businesses.

Before deciding whether to participate, please read the following information carefully.

Purpose of Participation

The purpose of this research is to better understand the drivers, challenges, and impacts of digital transformation and FinTech adoption in Cyprus. The findings aim to support evidence-based policymaking, strengthen business practices, and contribute to innovation and economic development.

Your participation involves the following:

Completion of this survey, which takes approximately 15 minutes.

Invitation to take part in an optional interview.

Contribution to a case study or discussion session at a later stage.

Your participation is entirely voluntary, and you are free to decline or withdraw at any time without any consequences.

If you wish to withdraw from the study after submitting your responses, you may do so by contacting the Project Coordinator.

Data Confidentiality and Usage

All data collected will be handled in strict accordance with the General Data Protection Regulation (GDPR) and Cyprus Data Protection Law (125(I)/2018).

Your data will be treated confidentially, pseudonymised and anonymised, and no personally identifiable information will be disclosed. Data will be securely stored and accessed only by authorised members of the research team. In some cases, qualitative data may be processed using machine learning techniques, such as keyword identification or pattern detection, strictly to support analysis; however, all interpretation and conclusions will be made by the researchers.

Aggregated and anonymised findings derived from the data (e.g., statistical summaries, graphs, and thematic insights) may be used for dissemination activities, including scientific publications, policy reports, infographics, and training materials. These outputs will not contain any information that could directly or indirectly identify participants or their organisations.

Anonymised data may be shared publicly after a 24-month embargo period, while raw or sensitive data will not be publicly available. Access to raw or sensitive data will be granted only upon justified request and consortium approval.

Your participation in this study does not involve any risks.

On the contrary, your contribution may help improve digital and FinTech policies, support SME development and innovation strategies, and enhance the overall business environment in Cyprus.

Contact Information

If you have any questions, concerns, withdraw requests or complaints, please contact the Project Coordinator, Dr. Snezana Eminidou. Please include “DiFiCy Survey” in the subject line.

Email: snezana@uol.ac.cy

Phone number: +357 22462228

Partnership:

Thank you for your valuable contribution to this research.

The project is implemented under the programme of social cohesion “THALIA 2021-2027” co-funded by the European Union, through the Research and Innovation Foundation in Cyprus [Pr. no. EXCELLENCE/0524/0568]. The content reflects the views of the author(s) only. The European Commission and the Managing Authority of THALIA 2021–2027 cannot be held responsible for any use which may be made of the information contained therein.