Προκήρυξη:
Το Πανεπιστήμιο Λευκωσίας ανακοινώνει το άνοιγμα μέχρι και 10 θέσεων για την εισδοχή στο Πρόγραμμα Διδακτορικών Σπουδών στην Επιστήμη Υπολογιστών για το Χειμερινό εξάμηνο 2022.
Προθεσμία υποβολής αιτήσεων: 20 Μαΐου 2022
Έναρξη: Σεπτέμβριος 2022
Περισσότερες πληροφορίες θα βρείτε εδώ.
Δείτε πιο κάτω τη σχετική ανακοίνωση στα αγγλικά:
Call for Applications for the PhD Programme in Computer Science | Fall 2022
Subject of the Call
For the Fall 2022 semester, the University of Nicosia announces the opening of a number positions for admission to the Doctorate (PhD) in Computer Science.
How to Apply
For academic information related to the doctorate contact the Programme Coordinator, Dr Constandinos Mavromoustakis via email at mavromoustakis.c@unic.ac.cy .
The application must be submitted only via the online procedure available at: https://www.unic.ac.cy/apply.
School: School of Sciences and Engineering
Duration: 3 years (full time)
Number of Positions: Up to ten
Selection Criteria: Preselection on the basis of evaluation of qualifications and final selection on the basis of an individual interview— if needed.
Application Deadline: 20th May, 2022
Start Date: September 2022
Language: All aspects of the programme are conducted in English (application submission, individual interviews, and programme study)
About the programme:
The doctorate degree is intended for applicants who have excelled during their undergraduate and/or graduate studies, have a strong motivation and enthusiasm towards technological research and innovation, and are inclined to work in the academic domain or a research-intensive environment in the industry.
The specific aims of the programme are to:
- Advance students’ in depth understanding and critical analysis of current theoretical state-of-the-art literature and research methodology in the field of Computer Science (respective PhD field),
- Enhance students’ research skills and facilitate the development of expertise relevant to their research specialisation area,
- Advance students’ understanding and application of suitable research methodologies and scientific methods providing them with skills to carry out their doctoral research project,
- Educate students in how to disseminate research findings, conclusions and suggestions, for example through publishing in academic journals and/or presenting their work in academic conferences and seminars,
- Give students a broad understanding of research approaches and methods, which will enable them to read and comprehend a wide range of academic research papers to enhance their research competence and facilitate the development of future research activities,
- Develop the skills to write up and submit a research proposal to a funding agency and/or assist a faculty member with a grant proposal, prior to graduation.
Ph.D. holders in Computer Science:
- Have deep understanding of the field and exhibit advanced skills and methods of research associated with the field
- Are able to conceive, design, implement and adapt a substantial process of research
- Have made a contribution through original research that extends the frontier of knowledge by developing a substantial body of work, some of which merits national or international refereed publication
- Are capable of critical analysis, evaluation and synthesis of new and complex ideas
- Are able to promote, within academic and professional contexts, technological, social or cultural advancement in a knowledge based society
- Are able to work in Universities, Institutes of Higher Education and Research centers and organizations
Dr. Dmitry Apraksin
Areas of Specialisation:
- Computer Networks
- Database Management
Dr. George Chailos
Associate Professor
Areas of Specialisation:
- Analysis, Functional Analysis, Operator Theory: Theory of Banach Spaces, Hardy Classes, Cauchy type Integrals and Duality. Invariant subspaces of Banach spaces of analytic functions. Applications to Bergman spaces. Reproducing kernel Hilbert spaces.
- Foundations of Mathematics: Set theory and Logic.
- History and Philosophy of Mathematics
Dr. Charalambos Christou
Associate Professor
Areas of Specialisation:
- Parallel ComputersShared Memory Multiprocessor Systems
- DSP-Based Parallel Processing
- E-Learning. Distance Learning, ICT
Dr. Marios Christou
Professor
Areas of Specialisation:
- Numerical Analysis
- Computational Mathematics
- Numerical Methods for Ordinary and Partial Differential Equations
- Computational Electromagnetics
- Special methods for solving differential equations
- Solitons-Solitary waves
Dr. Ioanna Dionysiou
Associate Professor
Areas of Specialisation:
- Security: distributed security models, social network security, grid computing security, cloud computing security
- Trust: trust formalisms, trust management systems, trust models
- Critical Infrastructures Protection: power grid
- Applied Technology in Education
Dr. Harald Gjermundrød
Professor
Areas of Specialisation:
- Distributed Computing Systems: Message-Oriented Middleware, Quality of Service, Distributed Algorithms
- Grid Computing: Grid Middleware, Grid Applications, Security and Trust in Grid Computing
- Applied Technology in Education: Software products using 3-Tier Web Architecture
Dr. Ioannis Katakis
Associate Professor
Areas of Specialisation:
- Data Mining
- Machine Learning
- Mining Social Networks
- Data Stream Mining
- Sentiment Analysis
- Learning form Urban Data
- User Adaptation
- Multi-Label Learning
- User Personalization
Dr. Constandinos Mavromoustakis
Professor
Areas of Specialisation:
- Mobile and Wearable Computing
- Internet of Things and Smart Ambient Environments
- Mobile Cloud Computing
- Cyber-Physical Systems
Dr. Nectarios Papanicolaou
Professor
Areas of Specialisation:
- Spectral, Finite-Difference and Finite-Element Methods for the Solution of Partial Differential Equations.
- Computational Fluid Mechanics.
- Numerical Analysis and Computational Mathematics.
- Numerical Analysis of Electromagnetic Wave Propagation in Liquid Crystals.
- Numerical Simulation of Modulated Photothermal Radiometric Signal from Semiconductors
Dr. George Portides
Assistant Professor
Areas of Specialisation:
- Robust regression estimation
- Generalized Linear Models
- Computational Statistics
Dr. Stavros Pouloukas
Associate Professor
Areas of Specialisation:
- Survival analysis
- Medical Statistics
- Estimation of parameters in the presence of censored data
- Multivariate analysis in the social sciences
Dr. Philippos Pouyioutas
Professor
Areas of Specialisation:
- Databases: Database Applications in education, architecture, cultural heritage
- ICT Tools in Education
- Quality Assurance in Higher Education
- Social Networks and their implications
Dr. Andreas Savva
Associate Professor
Areas of Specialisation:
- Surface subdivision
- Splines
- Geometric Modelling
- Computer Graphics
Dr. Athena Stassopoulou
Professor
Areas of Specialisation:
- Artificial Intelligence
- Bayesian Networks
- Machine Learning
- Computer Vision, Image Understanding
- Neural Networks
- Geographic Information Systems
- Applications of Artificial Intelligence on the web and in Medicine
Dr. Vasso Stylianou
Assistant Professor
Areas of Specialisation:
- Knowledge Management
- ICT in Education
- E-Learning
- Databases
Dr. Demetris Trihinas
Lecturer
Areas of Specialisation:
- Big Data Analytics
- Data Mining
- Distributed Computing
- Cloud Computing
- Internet Computing
The research output and the PhD Thesis must be written in English.
Admission Requirements and Procedures
Eligible candidates should hold a recognised Master’s degree in Computer Science, Electrical Engineering, Electronic Engineering, Computer Engineering or a related field in Pure Sciences (e.g. Mathematics, Physics). Applicants with a computer science related Master’s Degree(*) and a strong Computer Science Bachelor’s Degree will also be considered.
Students are admitted both in the Fall and Spring semesters.
Application Documents and Other Requirements
- Completed application form.
- A detailed Curriculum Vitae (CV).
- Certified true copy of the applicant’s qualifications/degree(s).
- Original or certified true copy of transcript(s).
- Two reference letters.
- Research proposal with title- an initial proposal (4,000 – 6,000 words) outlining the research topic, aims and objectives, research questions and proposed research methodology, substantiated by literature (not longer than 6K words).
- Publications: Previous theses/dissertations and any published work of academic relevance (research work and published articles-if any).
- Statement of purpose: Applicants are required to submit a comprehensive research outline highlighting their academic and individual competencies and state why they believe they are suitable for admission to the programme, as well as their reflections regarding the expectations and value of the programme for their personal advancement and career development.
- Personal interview (in person or through teleconferencing).
- English Language Proficiency: TOEFL (paper-based test 550, computer-based test 213) or IELTS 6.5. For students who graduated from an English-speaking University, English language is not a requirement.