Full Time Faculty Department of Computer Science - UNIC

The Department of Computer Science at the University of Nicosia invites applications for a full-time academic position at the Lecturer or Assistant Professor level in Machine Learning or Generative AI. This position is based at the Nicosia campus.

The Department seeks high-calibre scholars with a demonstrated, evidence-based research record, strong teaching capability in English, and a proven capacity to attract research funding and to lead the development of competitive proposals, particularly at the Assistant Professor level.

Qualifications:

• A Doctorate in a relevant field.
• Evidence of potential for excellence in teaching and research.
• Ability to teach in English.

Interested candidates should submit the following documents:

• A cover letter stating specialisation and related experience
• A full Curriculum Vitae (CV) with a complete list of publications and names and positions of two referees.
• A 2-3 page research statement describing previous and current research, as well as future plans
• A short description of the teaching methods up to 2 pages.

Candidates must be eligible to work in the European Union or the European Economic Area.

About the University of Nicosia (www.unic.ac.cy):

The University of Nicosia (UNIC) is a research-oriented university dedicated to teaching, research, innovation, sustainability, societal engagement, and cultural contribution. With over 100 programmes at the Bachelor’s, Master’s, and Doctoral levels, offered both on-campus and online, UNIC serves more than 11,500 students from over 100 countries.

UNIC boasts an outstanding academic reputation and a global perspective, as evidenced by its impressive international rankings. Indicatively, in the 2026 edition of the Times Higher Education (THE) World University Rankings, UNIC has held its rank among the top 501-600 universities globally for the fourth consecutive year.

The University strives to cultivate an academically stimulating environment that is student-centred and promotes active self-learning, imparting lifelong learning skills and competences to its students through smaller-than-average class sizes, a wide range of laboratories and innovative teaching methods.