Η Σχολή Επιστημών και Μηχανικής του Πανεπιστημίου Λευκωσίας ανακοινώνει αριθμό θέσεων για εισαγωγή στο Διδακτορικό πρόγραμμα (PhD) στην Ηλεκτρολογική Μηχανική, για το Χειμερινό Εξάμηνο του 2023.
Προθεσμία υποβολής αιτήσεων: 16 Ιουλίου 2023
Δείτε παρακάτω την προκήρυξη στα αγγλικά:
Call for Applications to the Doctorate (PhD) in Electrical Engineering | Fall 2023
Subject of the Call
For the Fall 2023 semester, the University of Nicosia announces the opening of a number of positions for admission to the Doctorate (PhD) in Electrical Engineering.
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: 16 July, 2023 Start Date: September 2023 Language: All aspects of the programme are conducted in English (application submission, individual interviews, and programme study)
How to Apply
For academic information related to the doctorate contact the Programme Coordinator Dr Ioannis Kyriakides via email at kyriakides.i@unic.ac.cy.
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:
Forster students’ skills and understanding in the processes and technologies involved in electrical and computer engineering disciplines.
Use mathematics, basic science, and engineering techniques to solve problems related to electrical and computer systems engineering.
Help students gain a profound understanding of advanced engineering topics such as telecommunications and networks, signal and image processing, microwave engineering, antenna technology and wave propagation, power system analysis and design, renewable energy technologies, and computer systems.
The academic staff of the department is dedicated to work closely with students to solve current engineering problems thereby producing new knowledge and results.
Educate students on how to disseminate research findings in scientific and engineering journals and conferences.
Faculty Members and Research Areas
Associate Professor George Gregoriou
Signal/Image Processing
Computer Vision/Pattern Recognition
Medical Imaging
Associate Professor Ioannis Kyriakides
Heterogeneous data fusion
Heterogeneous asset coordination
Target tracking
Agile information acquisition and processing
Associate Professor Antonis Hadjiantonis
Optical networks
Smart grids
Quality of service support for smart city applications in IoT and 5G.
Associate Professor Stelios Neophytou
Computer Hardware Systems, VLSI Design and Test
Embedded Systems and IoT.
Intelligent Transport Systems.
Associate Professor Marios Nestoros
Antenna Design for RFID and mm wave applications
Wireless sensors for e-health
Photothermal characterization of materials
Thermal and electronic waves in semiconductors
Assistant Professor Andreas Michaelides
Military applications – targeting systems
Integrated Inductor/Capacitor Components
Power System Analysis and Electric Machines Control.
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 Electrical Engineering, Electronic Engineering, Computer Engineering or a related field in Pure Sciences (e.g. Mathematics, Physics). 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 detailing the suggested research topic and Title; Literature review; (brief); Problem definition; Aims and objectives; Research methodology
Expected output; Time frame for completion; References; max. 4 pages;
Research work and published articles (if any);
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.