Electrical Engineering and Computer Engineering and Informatics

PhD posts, starting January 2020

The last date to apply for postgraduate studies is Friday, 15 November 2019.

For applications, click  here

 

  • 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 prospects: 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 prospects: 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.

 

Electrical Engineering and Computer Engineering and Informatics

PhD posts, starting January 2020

The last date to apply for postgraduate studies is Friday, 15 November 2019.

For applications, click  here

 

  • 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 prospects: 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 prospects: 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.