Electrical Engineering and Computer Engineering and Informatics

PhD posts, starting January 2021

The last date to apply for postgraduate studies is Friday, 27th of November 2020.

For applications, click  here

 

  • One (1) post in the following topic: Transfer Learning Techniques for Sign Language Translation into Natural Language

Description: The goal of this thesis is to develop ground-breaking methods for data-efficient sign language translation into natural language, by leveraging transfer learning techniques, especially based on variational inference principles. 

Required Qualificatios: Knowledge of Python/PyTorch is a prerequisite, as well as understanding of advanced machine learning mathematics. 

The position will be fully funded from the H2020 MARIE-CURIE-RISE project aiD.

Research Advisor:  Sotiris Chatzis , Assistant Professor,  sotirios.chatzis@cut.ac.cy 

 

  • One (1) post in the following topic:  “Magnetic Resonance Imaging (MRI) Guided Focused Ultrasound System for Brain Ablation”

Description: Focused ultrasound is a modality that can be used to treat various diseases in the area of oncology using thermal protocols. The thermal effects of Focused ultrasound can be monitored with excellent contrast using Magnetic resonance imaging (MRI).

The offered position will concentrate on the design and evaluation of 4-D MR compatible robotic system. A major task is to design an agar-based brain phantom.  Simulations will be performed in order to optimize the focused ultrasound therapeutic protocols.  A transducer design dedicated for ablation in the brain area will be performed.  The successful applicant is expected to extensively evaluate the system in the developed phantom in the laboratory setting and inside an MRI scanner.  MRI sequences will be optimized in order to monitor the thermal effects of ultrasound.

Required qualifications: Degree in Electrical Engineering, or Mechanical engineering, or Physics or medicine or biomedical engineering

Research Advisor: Christakis Damianou, Professor, christakis.damianou@cut.ac.cy

 

  • One (1) post in the following topic: “Magnetic Resonance Imaging (MRI) Guided Focused Ultrasound System for Breast Ablation”

Description: Focused ultrasound is a modality that can be used to treat various diseases in the area of oncology using thermal protocols. The thermal effects of Focused ultrasound can be monitored with excellent contrast using Magnetic resonance imaging (MRI).

The offered position will concentrate on the design and evaluation of 4-D MR compatible robotic system. A major task is to design an agar-based breast phantom.  Simulations will be performed in order to optimize the focused ultrasound therapeutic protocols.  A transducer design dedicated for ablation in the breast area will be performed.  The successful applicant is expected to extensively evaluate the system in the developed phantom in the laboratory setting and inside an MRI scanner.  MRI sequences will be optimized in order to monitor the thermal effects of ultrasound.

Required Qualifications: Degree in Electrical Engineering, or Mechanical Engineering, or Physics or Medicine or Biomedical Engineering

Research Advisor: Christakis Damianou, Professor, christakis.damianou@cut.ac.cy

 

  • One (1) post in the following topic: Contaminant Event Monitoring in Intelligent Buildings

Description: An Intelligent Building is a system that incorporates computer technology to autonomously govern and adapt the building environment in order to enhance operational and energy efficiency, cost effectiveness, improve user’s comfort, productivity and safety, and increase system robustness and reliability. The dispersion of contaminants from sources (events) inside a building can compromise the indoor air quality and influence the occupants' comfort, health, productivity and safety. These events could be the result of an accident, faulty equipment or a planned attack. Under these safety-critical conditions, immediate event detection should be guaranteed and the proper actions should be taken to ensure the safety of the people. The proposed research will investigate and produce solutions for the problem of monitoring the indoor building environment against the presence of contaminant events.  Distributed sensor networks have been widely used in buildings to monitor indoor environmental conditions such as air temperature, humidity and contaminant concentrations (e.g. CO, CO2). The goal of this research will be the development of methods for interpreting the real-time-collected data coming from the sensors in order to ensure the accurate and prompt identification of contaminant sources. The results can help determine appropriate control solutions such as: (i) indicating safe rescue pathways and/or refugee spaces, (ii) isolating contaminated spaces and (iii) cleaning contaminant spaces by removing sources, ventilating and filtering air.     

Required qualifications: BSc (required) and MSc (preferably) in Electrical Engineering, Mechanical Engineering, Civil Engineering, Environmental Engineering, Computer Science, Applied Mathematics, Physics or other related fields. Prior research experience or specialization in related topics will be considered an advantage.

Funding: The position can be partly funded by available Research Grants.

Research Advisor: Michalis Michaelides, Assistant Professor, michalis.michaelides@cut.ac.cy 

 

  • One (1) post in the following topic:  “Power Electronics - Renewable Energy Sources”

Description: The position is focused on one or more of the following areas: Active filters and reactive power generation, harmonics cancellation, Αpplication of power electronics in renewable energy sources, Losses and efficiency of electrical/electronic systems in renewable energy sources, Αpplication of power electronics for protection and correction in Low-Voltage Distribution Networks.

Required Qualifications: The applicants must have a first degree in Electrical Engineering.

Research Advisor:  Paul Christodoulides, Assistant Professor, paul.christodoulides@cut.ac.cy

 

  • Two (2) post in one of the following topics: 
  1. “Night Cooling Systems: Modeling and monitoring systems”
  2. Theoretical and Experimental investigation of geothermal systems”

Required Qualifications: BSc and/or MSc in Electrical Engineering and Computer Engineering or Computer Science or Physics, or any other related subject. Strong mathematical modeling background will be considered an advantage.

Research Advisor:  Paul Christodoulides, Assistant Professor, paul.christodoulides@cut.ac.cy

 

  • One (1) post in the following topic:  “Embedded Control Systems – High Performance Computing”

Description: The goal of this doctoral thesis position is to examine and devise novel and effective methods for the implementation of hardware accelerators for high performance real-time computing platforms with FPGA/SoC co-design. Particular focus will be given on applications for minimum invasive robotic surgery, computer vision, autonomous robotic vehicles, deep learning and cloud computing services, embedded and cyber-physical systems.

Required Qualifications: The applicants must have a first degree in Electrical Engineering.

Research Advisor:  Paul Christodoulides, Assistant Professor, paul.christodoulides@cut.ac.cy

 

 

  • One (1) post in the following topic: “IdeNtity verifiCatiOn with privacy-preservinG credeNtIals for anonymous access To Online services”

for the INCOGNITO (https://incognito.socialcomputing.eu/) research project under the call “Marie Skłodowska-Curie Actions, Research and Innovation Staff Exchanges”, and in the fields of “Identity Management, Privacy and Disinformation” for the CONCORDIA (https://www.concordia-h2020.eu/) research project under the call “Cybersecurity SU-ICT-2018-2020”. Both research projects are funded by the European Commission, under the HORIZON 2020 research framework programme.

The main purpose of the INCOGNITO project is to develop a user-friendly authentication system that offers secure digital identity, privacy, and anonymity through the use of anonymous credentials. The program aims at designing and implementing an infrastructure that supports the anonymity of the user by using cryptographic anonymous credentials as well as Federated Login solutions. Also, this system, which can be a central entity, or distributed using blockchain, enables the user to consolidate, manage, and verify their identity safely by using physical identity documents and online accounts on the Internet.

The INCOGNITO consortium includes the Telecommunication operator Telefonica, the certSIGN computer security provider, the University of Piraeus, and small and medium-sized technology companies from Spain and Greece. The ultimate goal of the program is to evaluate the aforementioned technologies by end-users. More information on the work already done in this area by CUT can be found at the web site of the ReCRED (https://www.recred.eu/) research project, which has recently ended. CUT was the technical manager of ReCRED.

CUT’s main research fields in the CONCORDIA project are divided in three main pillars:

  1. Privacy: The protection of user personal data on the web and the detection of personal data leakages to unauthorized parties, mainly the ad-ecosystem. The research around this field aims to result to tools able to detect such user data leakages. In addition, methods should be proposed to tackle such problems, based on advanced machine learning and deep learning techniques.
  2. Identity management: This part focuses on the management, authentication and verification of users’ identity on Online Social Networks (OSN). The researcher assigned to tackle this problem will research and acquire blockchain knowledge since a blockchain-based identity verification and management ecosystem is aimed to be built in order to allow users to consolidate, authenticate and verify their real-world identities without the need to trust a centralized authority for storing and managing their personal information.
  3. Cybersafety / Fake News: This part studies the detection of accounts (trolls/fake accounts) that disseminate disinformation on OSN. At the same time, it focuses on the analysis and detection of this information using advanced, innovative machine learning detection techniques.

In the CONCORDIA project participate big names in the areas of telecommunication namely, Telefonica and TELECOM Italia. In addition many well-known companies and organizations are part of the consortium, like AIRBUS, BMW, Siemens, and Caixa Bank. Also, distinctly recognized universities of Germany, Italia, Slovenia, Greece, England, Check Republic, Israel, Norway, Slovenia, Belgium, Holland, Luxemburg and France participate in this project.

More information on the work already done in this area by CUT can be found at the web site of ENCASE (https://encase.socialcomputing.eu/) research project. CUT is the Coordinator of ENCASE.

The Cyprus University of Technology participates in the above program with the NetSySci Lab (https://netsysci.cut.ac.cy/) under the umbrella of the Social Informatics Research Center (https://www.socialcomputing.eu/).

The PhD student will acquire, through studies and research, expertise in Networked Systems, Security, Cybersafety and Large Scale Data Processing. He/she will be called to research and develop methods for large scale extraction of Online Social Network (OSN) information and perform analysis on that data.

The successful applicants should be able to demonstrate excellent knowledge of CS theory as well as outstanding software implementation skills.

Required Qualifications:              

  • BSc or MSc from a recognized university in Electrical Engineering or Computer Science.
  • Programming experience in a high-level programming language
  • Very good knowledge of English (spoken and written).
  • Organizational skills.
  • Participation in funded research programs will be considered as an additional qualification
  • Prior research experience or specialization in Computer Security will be considered an advantage.

Funding: The selected candidate will be funded by the European Commission’s Horizon 2020 framework program.

Research Advisor:  Michael Sirivianos, Associate Professor, michael.sirivianos@cut.ac.cy.

 

  • One (1) post in the following topic: “A Security ECONomics service platform for smart security investments and cyber insurance pricing in the beyonD 2020 netwOrking era” for the SECONDO research project under the call “Marie Skłodowska-Curie Actions, Research and Innovation Staff Exchanges” of the HORIZON 2020 research framework programme.

The main purpose of the SECONDO project is to optimize decisions on cyber-security investments and insurance pricing. Simply put, the program aims to support professionals seeking investment in cyber security. It is a top-of-the-line research problem, as the rapid development of cyber-attacks is expected to continue its upward course.

SECONDO therefore proposes a unique, scalable, highly interoperable platform that encompasses a comprehensive cost-driven methodology for: (i) estimating cyber risks based on a quantitative approach that focuses on both technical and non-technical aspects, (e.g. users behaviour), that influence cyber exposure; (ii) providing analysis for effective and efficient risk management by recommending optimal investments in cyber security controls; and (iii) determining the residual risks and estimating the cyber insurance premiums taking into account the insurer’s business strategy, while eliminating the information asymmetry between the insured and insurer.

The aim of the SECONDO PhD researcher position is to combine statistical and technical knowledge to develop innovative cyber-security software and algorithms that will help users make decisions about investment, risk assessment, and pricing of insurance.

The SECONDO project involves the University of Piraeus and Surrey, as well as small and medium-sized technology and research companies from Cyprus, Greece and Spain.

The Cyprus University of Technology participates in the above program with the NetSySci Lab (https://netsysci.cut.ac.cy/) under the umbrella of the Social Informatics Research Center (https://www.socialcomputing.eu/).

The successful applicants should be able to demonstrate excellent knowledge of CS theory as well as outstanding software implementation skills.

Required Qualifications:              

  • BSc or MSc from a recognized university in Electrical Engineering or Computer Science.
  • Programming experience in a high-level programming language
  • Very good knowledge of English (spoken and written).
  • Organizational skills.
  • Participation in funded research programs will be considered as an additional qualification
  • Prior research experience or specialization in Computer Security will be considered an advantage.

Funding: The selected candidate will be funded by the European Commission’s Horizon 2020 framework program.

Research Advisor:  Michael Sirivianos, Associate Professor, michael.sirivianos@cut.ac.cy.

 

  • One (1) position in the following field: “Towards a 3D Heritage Information System: Developing an Online Platform for 3D Cultural Heritage Models Enriched with Paradata, Metadata and Semantics.”

Problem statement: Currently, web-based platforms or repositories that host monuments, sites and artefacts in 3D, such as 3DHOP, Sketchfab, or Smithsonian 3D, do not always adequately present the story or context of the cultural heritage (CH) asset (e.g. historical, architectural, but also digital, geometric, etc.). Therefore, it is often difficult to use these digital replicas to understand the CH objects they represent. Without accuracy or integrity of 3D CH models, their ability to reveal their story about the past is very limited.

Research proposal: Therefore, this research project, in the framework of the European Union Horizon 2020 CHANGE project, aims to fill this gap for the first timeby proposing a methodology for a unique system to enrich the 3D CH assets with paradata, metadata, semantics and other important information so that 3D objects can be used as credible sources for heritage interpretation, research and management. The results of this work will be presented in an accessible online environment (platform) and illustrated through key case studies of movable and immovable 3D CH objects which could be harvested or crowdsourced from other databases (see figure below).

Research goals and expected results:

  • Advanced meta- and para data structure to accurately describe 3D CH objects;
  • Holistic e-documentation of CH through (meta-)data enrichment of 3D CH objects and semantic rules;
  • 3D models of CH as credible sources for heritage interpretation, research and management;
  • Methodology for developing an online 3D CH monitoring and preservation system;
  • Unique data rules / semantic links among related 3D CH objects and data layers (when 3D objects are fragmented and hosted in different venues/museums).

Description: The main objective of this PhD is the development of a methodology for the holistic e-documentation of 3D cultural heritage objects, with semantically enriched metadata and other digital information (e.g. text, images, video and audio).

The methodology for the enrichment of 3D volumetric objects should reflect a holistic approach to the e-documentation of cultural heritage assets, taking into account the changes occurred on them over time. This methodology should be applicable to any type of 3D object, so that the web-platform will be an intelligent tool for the enrichment of any kind of digital object. The methodology will be applied to a selection of case studies, according to specific criteria, such as the kind of the object (portable/non- portable), parameters of complexity and quality of the 3D digitisation, its appearance (coloured/non-coloured), material (available internal structure information or not), location, civilization, time-period, architecture, etc. Responding to the needs and priorities of the international heritage community, the project will focus on (but will not be limited to) UNESCO World Heritage sites, with at least two case studies for each category (movable and immovable).

Different aspects and characteristics of the CH object (exterior/interior, original/reconstructed, architecture/structure, material/colouretc.) will be visualised on the platform as separate layers. Semantic enrichment of the 3D objectswill enable linkages between different layers as well as between different objects with similar characteristics (e.g. style, material, date, location, etc.). The project will explore the possibility of adding different levels of access to the platform depending on the purpose (e.g. monitoring/conservation or visualisation/interpretation) and user (expert or general public).

Furthermore, developing an online platform for 3D CH objects enriched with (meta-)data opens up opportunities for the interpretation and management of our heritage. The platform could serve as a tool to monitor the state of conservation of sites, monuments and artefacts, focusing on the value or significance of the CH objects. Following the preventive conservation philosophy, the platform will function as a dynamic management system to monitor changes to the CH object over time. In order to use a 3D object as a credible resource for conservation and management, adequate metadata and paradata are essential (see figure below). The project will therefore rely considerably on combining a smart metadata schema that is suitable for describing 3D objects on an interactive 3D viewing platform.

The web platform will be cloud-based and should be easy to use from an internet browser without having to install any specialised plugins or prior knowledge of specific software. It will be dynamically updated over time to avoid discontinuity between different versions, file formats and broken links which are so often hampering digital preservation.

Research Advisor:  Marinos Ioannides, Assistant Professor, marinos.ioannides@cut.ac.cy

 

 

Information:

Department Secretary

Tel: 25002533, Fax: 25002635

 

Electrical Engineering and Computer Engineering and Informatics

PhD posts, starting January 2021

The last date to apply for postgraduate studies is Friday, 27th of November 2020.

For applications, click  here

 

  • One (1) post in the following topic: Transfer Learning Techniques for Sign Language Translation into Natural Language

Description: The goal of this thesis is to develop ground-breaking methods for data-efficient sign language translation into natural language, by leveraging transfer learning techniques, especially based on variational inference principles. 

Required Qualificatios: Knowledge of Python/PyTorch is a prerequisite, as well as understanding of advanced machine learning mathematics. 

The position will be fully funded from the H2020 MARIE-CURIE-RISE project aiD.

Research Advisor:  Sotiris Chatzis , Assistant Professor,  sotirios.chatzis@cut.ac.cy 

 

  • One (1) post in the following topic:  “Magnetic Resonance Imaging (MRI) Guided Focused Ultrasound System for Brain Ablation”

Description: Focused ultrasound is a modality that can be used to treat various diseases in the area of oncology using thermal protocols. The thermal effects of Focused ultrasound can be monitored with excellent contrast using Magnetic resonance imaging (MRI).

The offered position will concentrate on the design and evaluation of 4-D MR compatible robotic system. A major task is to design an agar-based brain phantom.  Simulations will be performed in order to optimize the focused ultrasound therapeutic protocols.  A transducer design dedicated for ablation in the brain area will be performed.  The successful applicant is expected to extensively evaluate the system in the developed phantom in the laboratory setting and inside an MRI scanner.  MRI sequences will be optimized in order to monitor the thermal effects of ultrasound.

Required qualifications: Degree in Electrical Engineering, or Mechanical engineering, or Physics or medicine or biomedical engineering

Research Advisor: Christakis Damianou, Professor, christakis.damianou@cut.ac.cy

 

  • One (1) post in the following topic: “Magnetic Resonance Imaging (MRI) Guided Focused Ultrasound System for Breast Ablation”

Description: Focused ultrasound is a modality that can be used to treat various diseases in the area of oncology using thermal protocols. The thermal effects of Focused ultrasound can be monitored with excellent contrast using Magnetic resonance imaging (MRI).

The offered position will concentrate on the design and evaluation of 4-D MR compatible robotic system. A major task is to design an agar-based breast phantom.  Simulations will be performed in order to optimize the focused ultrasound therapeutic protocols.  A transducer design dedicated for ablation in the breast area will be performed.  The successful applicant is expected to extensively evaluate the system in the developed phantom in the laboratory setting and inside an MRI scanner.  MRI sequences will be optimized in order to monitor the thermal effects of ultrasound.

Required Qualifications: Degree in Electrical Engineering, or Mechanical Engineering, or Physics or Medicine or Biomedical Engineering

Research Advisor: Christakis Damianou, Professor, christakis.damianou@cut.ac.cy

 

  • One (1) post in the following topic: Contaminant Event Monitoring in Intelligent Buildings

Description: An Intelligent Building is a system that incorporates computer technology to autonomously govern and adapt the building environment in order to enhance operational and energy efficiency, cost effectiveness, improve user’s comfort, productivity and safety, and increase system robustness and reliability. The dispersion of contaminants from sources (events) inside a building can compromise the indoor air quality and influence the occupants' comfort, health, productivity and safety. These events could be the result of an accident, faulty equipment or a planned attack. Under these safety-critical conditions, immediate event detection should be guaranteed and the proper actions should be taken to ensure the safety of the people. The proposed research will investigate and produce solutions for the problem of monitoring the indoor building environment against the presence of contaminant events.  Distributed sensor networks have been widely used in buildings to monitor indoor environmental conditions such as air temperature, humidity and contaminant concentrations (e.g. CO, CO2). The goal of this research will be the development of methods for interpreting the real-time-collected data coming from the sensors in order to ensure the accurate and prompt identification of contaminant sources. The results can help determine appropriate control solutions such as: (i) indicating safe rescue pathways and/or refugee spaces, (ii) isolating contaminated spaces and (iii) cleaning contaminant spaces by removing sources, ventilating and filtering air.     

Required qualifications: BSc (required) and MSc (preferably) in Electrical Engineering, Mechanical Engineering, Civil Engineering, Environmental Engineering, Computer Science, Applied Mathematics, Physics or other related fields. Prior research experience or specialization in related topics will be considered an advantage.

Funding: The position can be partly funded by available Research Grants.

Research Advisor: Michalis Michaelides, Assistant Professor, michalis.michaelides@cut.ac.cy 

 

  • One (1) post in the following topic:  “Power Electronics - Renewable Energy Sources”

Description: The position is focused on one or more of the following areas: Active filters and reactive power generation, harmonics cancellation, Αpplication of power electronics in renewable energy sources, Losses and efficiency of electrical/electronic systems in renewable energy sources, Αpplication of power electronics for protection and correction in Low-Voltage Distribution Networks.

Required Qualifications: The applicants must have a first degree in Electrical Engineering.

Research Advisor:  Paul Christodoulides, Assistant Professor, paul.christodoulides@cut.ac.cy

 

  • Two (2) post in one of the following topics: 
  1. “Night Cooling Systems: Modeling and monitoring systems”
  2. Theoretical and Experimental investigation of geothermal systems”

Required Qualifications: BSc and/or MSc in Electrical Engineering and Computer Engineering or Computer Science or Physics, or any other related subject. Strong mathematical modeling background will be considered an advantage.

Research Advisor:  Paul Christodoulides, Assistant Professor, paul.christodoulides@cut.ac.cy

 

  • One (1) post in the following topic:  “Embedded Control Systems – High Performance Computing”

Description: The goal of this doctoral thesis position is to examine and devise novel and effective methods for the implementation of hardware accelerators for high performance real-time computing platforms with FPGA/SoC co-design. Particular focus will be given on applications for minimum invasive robotic surgery, computer vision, autonomous robotic vehicles, deep learning and cloud computing services, embedded and cyber-physical systems.

Required Qualifications: The applicants must have a first degree in Electrical Engineering.

Research Advisor:  Paul Christodoulides, Assistant Professor, paul.christodoulides@cut.ac.cy

 

 

  • One (1) post in the following topic: “IdeNtity verifiCatiOn with privacy-preservinG credeNtIals for anonymous access To Online services”

for the INCOGNITO (https://incognito.socialcomputing.eu/) research project under the call “Marie Skłodowska-Curie Actions, Research and Innovation Staff Exchanges”, and in the fields of “Identity Management, Privacy and Disinformation” for the CONCORDIA (https://www.concordia-h2020.eu/) research project under the call “Cybersecurity SU-ICT-2018-2020”. Both research projects are funded by the European Commission, under the HORIZON 2020 research framework programme.

The main purpose of the INCOGNITO project is to develop a user-friendly authentication system that offers secure digital identity, privacy, and anonymity through the use of anonymous credentials. The program aims at designing and implementing an infrastructure that supports the anonymity of the user by using cryptographic anonymous credentials as well as Federated Login solutions. Also, this system, which can be a central entity, or distributed using blockchain, enables the user to consolidate, manage, and verify their identity safely by using physical identity documents and online accounts on the Internet.

The INCOGNITO consortium includes the Telecommunication operator Telefonica, the certSIGN computer security provider, the University of Piraeus, and small and medium-sized technology companies from Spain and Greece. The ultimate goal of the program is to evaluate the aforementioned technologies by end-users. More information on the work already done in this area by CUT can be found at the web site of the ReCRED (https://www.recred.eu/) research project, which has recently ended. CUT was the technical manager of ReCRED.

CUT’s main research fields in the CONCORDIA project are divided in three main pillars:

  1. Privacy: The protection of user personal data on the web and the detection of personal data leakages to unauthorized parties, mainly the ad-ecosystem. The research around this field aims to result to tools able to detect such user data leakages. In addition, methods should be proposed to tackle such problems, based on advanced machine learning and deep learning techniques.
  2. Identity management: This part focuses on the management, authentication and verification of users’ identity on Online Social Networks (OSN). The researcher assigned to tackle this problem will research and acquire blockchain knowledge since a blockchain-based identity verification and management ecosystem is aimed to be built in order to allow users to consolidate, authenticate and verify their real-world identities without the need to trust a centralized authority for storing and managing their personal information.
  3. Cybersafety / Fake News: This part studies the detection of accounts (trolls/fake accounts) that disseminate disinformation on OSN. At the same time, it focuses on the analysis and detection of this information using advanced, innovative machine learning detection techniques.

In the CONCORDIA project participate big names in the areas of telecommunication namely, Telefonica and TELECOM Italia. In addition many well-known companies and organizations are part of the consortium, like AIRBUS, BMW, Siemens, and Caixa Bank. Also, distinctly recognized universities of Germany, Italia, Slovenia, Greece, England, Check Republic, Israel, Norway, Slovenia, Belgium, Holland, Luxemburg and France participate in this project.

More information on the work already done in this area by CUT can be found at the web site of ENCASE (https://encase.socialcomputing.eu/) research project. CUT is the Coordinator of ENCASE.

The Cyprus University of Technology participates in the above program with the NetSySci Lab (https://netsysci.cut.ac.cy/) under the umbrella of the Social Informatics Research Center (https://www.socialcomputing.eu/).

The PhD student will acquire, through studies and research, expertise in Networked Systems, Security, Cybersafety and Large Scale Data Processing. He/she will be called to research and develop methods for large scale extraction of Online Social Network (OSN) information and perform analysis on that data.

The successful applicants should be able to demonstrate excellent knowledge of CS theory as well as outstanding software implementation skills.

Required Qualifications:              

  • BSc or MSc from a recognized university in Electrical Engineering or Computer Science.
  • Programming experience in a high-level programming language
  • Very good knowledge of English (spoken and written).
  • Organizational skills.
  • Participation in funded research programs will be considered as an additional qualification
  • Prior research experience or specialization in Computer Security will be considered an advantage.

Funding: The selected candidate will be funded by the European Commission’s Horizon 2020 framework program.

Research Advisor:  Michael Sirivianos, Associate Professor, michael.sirivianos@cut.ac.cy.

 

  • One (1) post in the following topic: “A Security ECONomics service platform for smart security investments and cyber insurance pricing in the beyonD 2020 netwOrking era” for the SECONDO research project under the call “Marie Skłodowska-Curie Actions, Research and Innovation Staff Exchanges” of the HORIZON 2020 research framework programme.

The main purpose of the SECONDO project is to optimize decisions on cyber-security investments and insurance pricing. Simply put, the program aims to support professionals seeking investment in cyber security. It is a top-of-the-line research problem, as the rapid development of cyber-attacks is expected to continue its upward course.

SECONDO therefore proposes a unique, scalable, highly interoperable platform that encompasses a comprehensive cost-driven methodology for: (i) estimating cyber risks based on a quantitative approach that focuses on both technical and non-technical aspects, (e.g. users behaviour), that influence cyber exposure; (ii) providing analysis for effective and efficient risk management by recommending optimal investments in cyber security controls; and (iii) determining the residual risks and estimating the cyber insurance premiums taking into account the insurer’s business strategy, while eliminating the information asymmetry between the insured and insurer.

The aim of the SECONDO PhD researcher position is to combine statistical and technical knowledge to develop innovative cyber-security software and algorithms that will help users make decisions about investment, risk assessment, and pricing of insurance.

The SECONDO project involves the University of Piraeus and Surrey, as well as small and medium-sized technology and research companies from Cyprus, Greece and Spain.

The Cyprus University of Technology participates in the above program with the NetSySci Lab (https://netsysci.cut.ac.cy/) under the umbrella of the Social Informatics Research Center (https://www.socialcomputing.eu/).

The successful applicants should be able to demonstrate excellent knowledge of CS theory as well as outstanding software implementation skills.

Required Qualifications:              

  • BSc or MSc from a recognized university in Electrical Engineering or Computer Science.
  • Programming experience in a high-level programming language
  • Very good knowledge of English (spoken and written).
  • Organizational skills.
  • Participation in funded research programs will be considered as an additional qualification
  • Prior research experience or specialization in Computer Security will be considered an advantage.

Funding: The selected candidate will be funded by the European Commission’s Horizon 2020 framework program.

Research Advisor:  Michael Sirivianos, Associate Professor, michael.sirivianos@cut.ac.cy.

 

  • One (1) position in the following field: “Towards a 3D Heritage Information System: Developing an Online Platform for 3D Cultural Heritage Models Enriched with Paradata, Metadata and Semantics.”

Problem statement: Currently, web-based platforms or repositories that host monuments, sites and artefacts in 3D, such as 3DHOP, Sketchfab, or Smithsonian 3D, do not always adequately present the story or context of the cultural heritage (CH) asset (e.g. historical, architectural, but also digital, geometric, etc.). Therefore, it is often difficult to use these digital replicas to understand the CH objects they represent. Without accuracy or integrity of 3D CH models, their ability to reveal their story about the past is very limited.

Research proposal: Therefore, this research project, in the framework of the European Union Horizon 2020 CHANGE project, aims to fill this gap for the first timeby proposing a methodology for a unique system to enrich the 3D CH assets with paradata, metadata, semantics and other important information so that 3D objects can be used as credible sources for heritage interpretation, research and management. The results of this work will be presented in an accessible online environment (platform) and illustrated through key case studies of movable and immovable 3D CH objects which could be harvested or crowdsourced from other databases (see figure below).

Research goals and expected results:

  • Advanced meta- and para data structure to accurately describe 3D CH objects;
  • Holistic e-documentation of CH through (meta-)data enrichment of 3D CH objects and semantic rules;
  • 3D models of CH as credible sources for heritage interpretation, research and management;
  • Methodology for developing an online 3D CH monitoring and preservation system;
  • Unique data rules / semantic links among related 3D CH objects and data layers (when 3D objects are fragmented and hosted in different venues/museums).

Description: The main objective of this PhD is the development of a methodology for the holistic e-documentation of 3D cultural heritage objects, with semantically enriched metadata and other digital information (e.g. text, images, video and audio).

The methodology for the enrichment of 3D volumetric objects should reflect a holistic approach to the e-documentation of cultural heritage assets, taking into account the changes occurred on them over time. This methodology should be applicable to any type of 3D object, so that the web-platform will be an intelligent tool for the enrichment of any kind of digital object. The methodology will be applied to a selection of case studies, according to specific criteria, such as the kind of the object (portable/non- portable), parameters of complexity and quality of the 3D digitisation, its appearance (coloured/non-coloured), material (available internal structure information or not), location, civilization, time-period, architecture, etc. Responding to the needs and priorities of the international heritage community, the project will focus on (but will not be limited to) UNESCO World Heritage sites, with at least two case studies for each category (movable and immovable).

Different aspects and characteristics of the CH object (exterior/interior, original/reconstructed, architecture/structure, material/colouretc.) will be visualised on the platform as separate layers. Semantic enrichment of the 3D objectswill enable linkages between different layers as well as between different objects with similar characteristics (e.g. style, material, date, location, etc.). The project will explore the possibility of adding different levels of access to the platform depending on the purpose (e.g. monitoring/conservation or visualisation/interpretation) and user (expert or general public).

Furthermore, developing an online platform for 3D CH objects enriched with (meta-)data opens up opportunities for the interpretation and management of our heritage. The platform could serve as a tool to monitor the state of conservation of sites, monuments and artefacts, focusing on the value or significance of the CH objects. Following the preventive conservation philosophy, the platform will function as a dynamic management system to monitor changes to the CH object over time. In order to use a 3D object as a credible resource for conservation and management, adequate metadata and paradata are essential (see figure below). The project will therefore rely considerably on combining a smart metadata schema that is suitable for describing 3D objects on an interactive 3D viewing platform.

The web platform will be cloud-based and should be easy to use from an internet browser without having to install any specialised plugins or prior knowledge of specific software. It will be dynamically updated over time to avoid discontinuity between different versions, file formats and broken links which are so often hampering digital preservation.

Research Advisor:  Marinos Ioannides, Assistant Professor, marinos.ioannides@cut.ac.cy

 

 

Information:

Department Secretary

Tel: 25002533, Fax: 25002635