Call for Applications to the Doctorate (PhD) in Electrical Engineering | Fall 2024 

For the Fall 2024 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 seven
Selection Criteria Preselection on the basis of evaluation of qualifications and final selection on the basis of an individual interview – if needed 
Application Deadline 20 July 2024 
Start Date September 2024 
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 Antonis Hadjiantonis via email at [email protected]

The application must be submitted only via the online procedure available at:

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: 

  • 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: 

Professor Anastasis Polycarpou 

  • Sse of Liquid-crystal technology for the design of Leaky-Wave Antennas 
  • Design of impedance-modulated metasurfaces and frequency-selected surfaces  
  • Smart health monitoring of vital body signals 

Associate Professor George Gregoriou 

  • Signal/Image Processing  
  • Computer Vision/Pattern Recognition 
  • Medical Imaging 

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