Funding:

Funding for the position is not guaranteed, but it will be possible to attract partial/full funding from various research calls.

Required Qualifications:

Research Advisor:

Name/Surname:

Athos Agapiou

Position:

Assistant Professor

Email:

athos.agapiou@cut.ac.cy

Description:

Satellite images can record in a short period of time large areas in a systematic way, including archaeological sites and monuments. Their ability to record electromagnetic radiation in wavelengths beyond the visible (near - middle infrared and thermal bands) allow better observation, analysis and mapping of threatened sites and monuments, especially in areas affected after a natural or man-made hazard. The aim of the present research is to contribute to the improvement of existing research methods, especially by exploiting open and freely available satellite images, such as the Sentinel images of the Copernicus European space programme, by developing novel methodology that will allow a more accurate mapping as well as risk indicators for monuments and places.

Funding:

Funding for the position is not guaranteed, but it will be possible to attract partial/full funding from various research calls.

Required Qualifications:

Research Advisor:

Name/Surname:

Athos Agapiou

Position:

Assistant Professor

Email:

athos.agapiou@cut.ac.cy

Description:

Augmented and virtual reality (VR & AR) are rapidly advancing technologies that enhance users’ perception of the real world by using virtual spaces or enhancing the real space with virtual elements. The geospatial community has been gradually focusing on VR & AR technologies and applications due to their ability to create immersive spatial experiences, facilitate spatial learning, and stimulate user experience. However, designing effective VR or AR interfaces poses several challenges, especially when a cartographic approach is realized. Scale issues and management of the Level of Detail (LoD) should be studied to create a concrete methodological approach when using high-resolution and accurate spatial data. Especially when data are provided from UAS airborne sensors, and a 3D virtual space or 3D objects need to be visualized.

Cartographic perspectives are instrumental in addressing issues related to spatial and thematic levels of detail, as well as scale in virtual and augmented reality. By carefully considering scale, data representation, user interaction, and UX design, cartographers can create immersive and effective VR and AR experiences that provide valuable spatial and thematic information to users.

The candidate is expected to contribute significantly - through his research - to understanding.

on the scale issues and management of LoD for VR & AR cartographic representations based on various dimensions that focus on the types of data that are visualized, the techniques used, and the user actions that trigger LoD change.

Funding:

Partial funding for the position is secured, with additional opportunities to secure full funding from various research calls and projects.

Required Qualifications:

• University degree in a field such as Surveying Engineering, Civil Engineering, Geography, Urban Planning, Computer Science, Science (Physics or Mathematics), Multimedia or a related field.
• Master’s degree in a field such as geographic information systems, geo-information, remote sensing, computer science, data science, or a related field
• Visa (if not coming from the EU)

Additional qualifications that will be considered:

• Good knowledge of the English language
• Good knowledge of programming (Pytnon, C++, C#, or other relevant)
• Good knowledge of 3D visualizations software (Unreal Engine, Unity, ArcGIS 360 VR, or other relevant)
• Previous publications in scientific journals or announcements in conferences, symposiums, etc.

The application should include a letter of interest or statement of purpose written in English or Greek that explains/describes why the applicant wishes to undertake this specific study, his/her research objectives, and other relevant information (500 words maximum).

Research Advisor:

Name/Surname:

Apostolos Papakonstantinou

Position:

Assistant Professor

Email:

a.papakonstantinou@cut.ac.cy

3D Geovisualization of Spatiotemporal Changes using Game Engines. A Cartographic approach on spatial and thematic levels of detail in digital twins.

Description:

Advancements in 3D geovisualization techniques have revolutionized our ability to analyze and understand complex spatiotemporal data. In recent years, the integration of game engines into cartographic practices has emerged as a powerful tool for representing geospatial information in an immersive and interactive manner. This approach leverages the capabilities of popular game engines such as Unity and Unreal Engine to create dynamic and visually compelling representations of geographic data.

Utilizing game engines for geovisualization to depict spatiotemporal changes at varying levels of detail allow users to navigate through intricate landscapes, zooming in from global scales to individual objects with ease. Additionally, on the thematic level, these engines allow for the dynamic visualization of data layers.

Building these new types of applications also involves working with digital twins. Thus, creating immersive ways to visualize and interact with real-world GIS assets that complement current workflows.

A systematic exploration of the game engines' capabilities to depict thematic and photorealistic information of temporal changes over extended periods in various scales should be done. 3D geovisualization using game engines offers a powerful and flexible solution for exploring spatiotemporal changes with a cartographic perspective. It empowers users to engage with data interactively, enabling deeper insights into the dynamic nature of our world.

In this dynamic intersection of cartography and technology, the candidate will go deep into a judicious fusion of spatial and thematic levels of detail, scaled to the immersive canvas, to unlock the full potential of game engine based 3D geoviz exploration, learning, and decision-making in the digital age.

The candidate is expected to contribute significantly - through his research - to the understanding of the most efficient visualization approach using game engines to offer a powerful and flexible solution for exploring spatiotemporal changes with a cartographic perspective. He will study how to stimulate users to interactively engage with data, enabling deeper insights into the dynamic nature of our world.

Funding:

Partial funding for the position is secured, with additional opportunities to secure full funding from various research calls and projects.

Required Qualifications:

• University degree in a field such as Surveying Engineering, Civil Engineering, Geography, Urban Planning, Computer Science, Science (Physics or Mathematics), Multimedia or a related field.
• Master’s degree in a field such as geographic information systems, geo-information, remote sensing, computer science, data science, or a related field.

• Visa (if not coming from the EU)

Additional qualifications that will be considered:

• Good knowledge of the English language
• Good knowledge of programming (Pytnon, C++, C#, or other relevant)
• Good knowledge of 3D visualizations software (Unreal Engine, Unity, ArcGIS 360 VR, or other relevant)
• Previous publications in scientific journals or announcements in conferences, symposiums, etc.

The application should include a letter of interest or statement of purpose written in English or Greek that explains/describes why the applicant wishes to undertake this specific study, his/her research objectives, and other relevant information (500 words maximum).

Research Advisor:

Name/Surname:

Apostolos Papakonstantinou

Position:

Assistant Professor

Email:

a.papakonstantinou@cut.ac.cy

Land administration constitutes the main pillar of land management and comprises four basic components: land tenure, land valuation, land use and development, with the goal of achieving economic, environmental, and social sustainability. Geographical Information Systems (GIS) are the most powerful tools for supporting decision-making regarding land management. For at least two decades, several research efforts have been made to integrate various artificial intelligence methods with GIS, aiming to enhance them for making geo-spatial decisions related to land management/land administration. However, these efforts remained up to a (not satisfactory) point regarding the achievement of each goal. In recent years, however, the development of artificial intelligence is impressive and creates new prospects for the integration of the two technologies, for the development of integrated planning and decision support systems.

The candidate is expected to contribute to the development of new scientific knowledge, models, and tools that can be used for the automation and support of decision-making regarding the following fields (topic selection will be based on funding possibilities): spatial/urban planning, land consolidation planning, and land valuation.

Funding:

Funding for the position is not available at the current stage, but it will be possible to attract partial/full funding from research calls.

Required Qualifications:

• University degree in a field such as: Surveying Engineering, Civil Engineering, Geography, Urban Planning, Computer Science, or related field.
• Master’s degree in a field such as: Geographical Information Systems, Geo-information, Remote sensing, Artificial Intelligence, Data Science, or related field.
• Ability to program in any of the following languages: Python, C#, Java, VB (using .NET SDK) (or in other language).
• Excellent knowledge of English.

Research Advisor:

Name/Surname:

Dr. Demetris Demetriou

Position:

Lecturer

Email:

demetris.s.demetriou@cut.ac.cy

3D Cadastre facilitates the detailed and accurate representation of complex ownership structures, including the multi-level form of ownership and the spatial and legal relationships that exist above and below ground level. Similarly, 3D city models represent the physical and functional characteristics of the urban environment, providing a comprehensive framework for the simulation, analysis, and visualization of various urban functions and their impacts.

The research is expected to focus on the integration of the 3D Cadastre and 3D city models, with the aim of supporting land management and land administration practices. The candidate is expected to contribute to the development of new scientific knowledge, innovative methodologies, models, and tools for the integration of complex three-dimensional property rights, restrictions, and responsibilities within the spatial framework of the urban environment, through the exploitation of advanced GIS, CityGML, and BIM (Building Information Modeling) technologies.

Funding:

Funding for the position is not available at the current stage, but it will be possible to attract partial/full funding from research calls.

Required Qualifications:

• University degree in a field such as: Surveying Engineering, Civil Engineering, Geography, Urban Planning, Computer Science, or related field.
• Master’s degree in a field such as: Geographical Information Systems, Geo-information, Remote sensing, Artificial Intelligence, Data Science, or related field.
• Ability to program in any of the following languages: Python, C#, Java, VB (using .NET SDK) (or in other language).
• Excellent knowledge of English.

Research Advisor:

Name/Surname:

Demetris Demetriou

Position:

Lecturer

Email:

demetris.s.demetriou@cut.ac.cy

The climate crisis poses significant challenges to global stability, directly affecting the frequency and intensity of natural disasters, such as wildfires, floods, and droughts. The role of land policies for various sectors, aimed at supporting prevention and mitigation strategies against the risk of natural disasters, is critically important for every country. Through the integration of climate change factors into land use planning and emergency preparedness, public authorities can enhance resilience, mitigate the risk of disaster-related losses, and support recovery and rebuilding processes after catastrophic events. This can be supported by the development of integrated models of land policies and the impacts of climate change, with the aim of exploring planning scenarios to assess the effectiveness of policies.

The candidate is expected to contribute to the development of new scientific knowledge, innovative methodologies, models, and tools related to the analysis of sectoral land policies, regarding their effectiveness in mitigating the risk from natural disasters, which will be explored through the development of integrated models of natural disaster simulation (fires and floods) and land policies.

Funding:

Funding for the position is not available at the current stage, but it will be possible to attract partial/full funding from research calls.

Required Qualifications:

• University degree in a field such as: Surveying Engineering, Civil Engineering, Geosciences, Agricultural Science, Geography, Environmental Engineering/Science, Urban Planning, Physics, Computer Science, or related field.
• Master’s degree in a field such as: Geographical Information Systems, Geo-information, Remote sensing, Artificial Intelligence, Data Science, Climate Change, Environmental Science/Engineering, Emergency/Disaster Management, or related field.
• Ability to program in any of the following languages: Python, C#, Java, VB (using .NET SDK) (or in other language).
• Excellent knowledge of English

Research Advisor:

Name/Surname:

Demetris Demetriou

Position:

Lecturer

Email:

demetris.s.demetriou@cut.ac.cy

Funding:

Funding: for the position is not guaranteed

Required Qualifications:

Candidates for this post should possess:

• BSc degree in engineering, computer science or multimedia
• MSc degree in engineering, computer science or multimedia
• Visa (if not coming from the EU)

Additional qualifications which will be considered include:

• Good knowledge of English language
• Good knowledge of programming (C++, C#, or other)
• Knowledge of computer vision, or photogrammetry, or graphics is a bonus
• Previous publications in scientific journals or announcements in conferences, symposiums, etc.
• The application should include a letter of interest or statement of purpose written in English or Greek, that explains/describes why the applicant wishes to undertake this specific study, his/her research objectives and other relevant information (500-800 words maximum).

Research Advisor:

Name/Surname:

Dimitrios Skarlatos

Position:

Professor

Email:

dimitrios.skarlatos@cut.ac.cy

Funding:

Funding for this position is not guaranteed.

Required Qualifications:

Candidates for this post should possess:

• BSc degree in engineering, computer science or multimedia
• MSc degree in engineering, computer science or multimedia
• Visa (if not coming from the EU)

Additional qualifications which will be considered include:

• Good knowledge of English language
• Strong knowledge of programming (C++, C#, or other)
• Knowledge of computer vision, or photogrammetry, or graphics is a bonus
• Previous publications in scientific journals or announcements in conferences, symposiums, etc.
• The application should include a letter of interest or statement of purpose written in English or Greek, that explains/describes why the applicant wishes to undertake this specific study, his/her research objectives and other relevant information (500-800 words maximum).

Research Advisor:

Name/Surname:

Dimitrios Skarlatos

Position:

Professor

Email:

dimitrios.skarlatos@cut.ac.cy

Funding:

This post will be co supervised with Extended Experiences Group of CYENS - Centre of Excellence (https://www.cyens.org.cy/). Funding for this position is not guaranteed for the full duration of the Ph.D., but there is the possibility to attract full funding from CYENS - Centre of Excellence (https://www.cyens.org.cy/), under competitive Ph.D. calls. If the proposal is successful, the candidate will be funded and based in CYENS Centre of Excellence.

Required Qualifications:

Candidates for this post should possess:

• BSc degree in engineering, computer science or multimedia
• MSc degree in engineering, computer science or multimedia
• Visa (if not coming from the EU)

Additional qualifications which will be considered include:

• Strong knowledge of programming (C++, C#, or other)
• Knowledge of computer vision, or photogrammetry, or graphics is a bonus
• Knowledge of augmented reality is a bonus
• Previous publications in scientific journals or announcements in conferences, symposiums, etc.
• The application should include a letter of interest or statement of purpose written in English or Greek, that explains/describes why the applicant wishes to undertake this specific study, his/her research objectives and other relevant information (500-800 words maximum).

Research Advisor:

Name/Surname:

Dimitrios Skarlatos

Position:

Professor

Email:

dimitrios.skarlatos@cut.ac.cy  

Funding:

This post will be co supervised with Extended Experiences Group of CYENS - Centre of Excellence (https://www.cyens.org.cy/). Funding for this position is not guaranteed for the full duration of the Ph.D., but there is the possibility to attract full funding from CYENS - Centre of Excellence (https://www.cyens.org.cy/), under competitive Ph.D. calls. If the proposal is successful, the candidate will be funded and based in CYENS Centre of Excellence.

Required Qualifications:

Candidates for this post should possess:

• BSc degree in engineering, computer science or multimedia
• MSc degree in engineering, computer science or multimedia
• Visa (if not coming from the EU)

Additional qualifications which will be considered include:

• Good knowledge of English language
• Strong knowledge of programming (C++, C#, or other)
• Knowledge of computer vision, or photogrammetry, or graphics is a bonus
• Good knowledge of Unity or Unreal engine is a bonus
• Knowledge of augmented reality is a bonus
• Previous publications in scientific journals or announcements in conferences, symposiums, etc.
• The application should include a letter of interest or statement of purpose written in English or Greek, that explains/describes why the applicant wishes to undertake this specific study, his/her research objectives and other relevant information (500-800 words maximum).

Research Advisor:

Name/Surname:

Dimitrios Skarlatos

Position:

Professor

Email:

dimitrios.skarlatos@cut.ac.cy

Funding:

There is no funding attached to this course

Required Qualifications:

The candidates must hold Masters (MSc/ MA) degree in Civil Engineering or Structural Engineering or Chemical Engineering or Environmental Engineering or Architectural Engineering or Architecture or Sustainable Development from recognized universities. 5-Year Diploma (Dipl. Eng / Dipl. Ing / Dipl. Arch) graduates are also welcomed to apply. MEng or other 4-year course graduates in the same fields may apply, but if successful, they will have to undertake some postgraduate modules at CUT. Participation in conferences or other relevant research/innovation activities will be considered positively.

Research Advisor:

Name/Surname:

 Stylianos Yiatros

Position:

Associate Professor

Email:

Stylianos.yiatros@cut.ac.cy

The Cyprus University of Technology Laboratory of Geodesy is seeking a highly motivated and talented PhD student to join our dynamic research team. This position offers the unique opportunity to work on cutting-edge research on Global Navigation Satellite Systems (GNSS) techniques and the monitoring and analysis of natural hazards, such as landslides and earthquakes. The successful candidate will focus on the innovative application of GNSS techniques and the development of experimental configurations to enhance our understanding and response to these catastrophic events, contributing significantly to the safety and resilience of vulnerable communities at the national and international level.

Key Responsibilities:

• Design and implementation of novel hardware platforms for GNSS data acquisition and processing, tailored to the detection and analysis of natural hazards.
• Development of advanced GNSS-related services, including real-time monitoring systems, predictive modeling, and decision-support tools.
• Conduct comprehensive fieldwork and data analysis to validate and refine GNSS applications in the context of natural hazard assessment.
• Collaborate with a multidisciplinary team of researchers, stakeholders, and industry partners to ensure the relevance and impact of research outcomes.
• Publication of research findings in high-impact scientific journals and presentation at international conferences.

Funding:

The position will be partially funded by on-going research grants secured by the Laboratory of Geodesy and the ERATOSTHENES Centre of Excellence.

Required Qualifications:

• Master’s degree in Geodesy, Geophysics, Earth Sciences, Computer Science, Electrical Engineering, or a related field.
• Strong programming skills in Python and/or C/C++.
• Experience with GNSS data processing and analysis is highly desirable.
• Knowledge of natural hazard dynamics, particularly related to landslides and earthquakes, is an advantage.
• Excellent analytical and problem-solving skills.
• Strong communication skills, both written and oral, in English.
• Ability to work independently as well as part of a team in a multidisciplinary environment.

Research Advisor:

Name/Surname:

Chris Danezis

Position:

Associate Professor

Email:

chris.danezis@cut.ac.cy

The Cyprus University of Technology Laboratory of Geodesy invites applications for a PhD student position in the field of Marine Geodesy. This opportunity is aimed at ambitious candidates who are passionate about advancing scientific knowledge in the areas of sea level variability, coastal erosion, and the development of innovative data integration platforms.

Key Responsibilities:

• Conduct detailed geodetic and geophysical analyses focusing on sea level changes and coastal erosion processes.
• Develop and implement advanced algorithms for the integration of diverse datasets, including satellite observations, in-situ measurements, and numerical models.
• Design and optimize integrated data platforms to enhance the accessibility, visualization, and analysis of marine geospatial information.
• Collaborate with an interdisciplinary team to apply findings to coastal management strategies, contributing to the mitigation of climate change impacts.
• Author and co-author research papers for publication in peer-reviewed journals and present findings at international conferences.

Funding:

The position will be funded by on-going research grants secured by the CUT Laboratory of Geodesy and/ or the ERATOSTHENES Centre of Excellence.

Required Qualifications:

• Master’s degree in Geodesy, Oceanography, Earth Science, Computer Science, or a related discipline.
• Proficient in programming with Python and/or C/C++, with a strong interest in developing software tools for data analysis.
• Programming experience in Go or Rust is highly desirable.
• Experience in web applications Frontend Development is also desirable.
• Experience with GIS, satellite altimetry, or data integration platforms is highly desirable.
• Familiarity with marine science and coastal dynamics is advantageous.
• Demonstrated analytical and problem-solving skills.
• Excellent written and oral communication skills in English.
• Capable of working independently and collaboratively in an interdisciplinary team.

Research Advisor:

Name/Surname:

Dr Chris Danezis

Position:

Associate Professor

Email:

chris.danezis@cut.ac.cy

Each position offers excellent possibilities for professional development of highly motivated individuals in the framework of the EU-H2020  “EXCELSIOR” Horizon 2020 Widespread Teaming Phase 2 project (www.excelsior2020.eu) within which the Cyprus University of Technology established the ERATOSTHENES  Centre of Excellence for Earth Surveillance and Space-Based Monitoring of the Environment in cooperation with EU Advanced Partners [the German Aerospace Centre (DLR), the National Observatory of Athens (NOA), the German Leibniz Institute for Tropospheric Research (TROPOS), and Physikalisch-Meteorologisches Observatorium Davos, World Radiation Center (PMODWRC)].

The PhD positions refer to the research topic the Atmosphere sector of the Department of Environment and Climate of the ERATOSTHENES Centre of Excellence (‘Excelsior Phase 2’ H2020 Teaming Grant Agreement NO.857510 (www.excelsior2020.eu)).

The successful applicants will be based at the Civil Engineering Department of the Cyprus University of Technology and will work in an international, vibrant research environment, having access to state-of-the-art instruments of the Sector of Atmosphere of the ERATOSTHENES CoE. The PhD students will be supervised in close collaboration with researchers from the advance partner TROPOS.

The successful candidate will advance the ERATOSTHENES CoE research and innovation agenda in its scientific focus of Environmental Observations area through experimental research on the field of Atmospheric Remote Sensing. The ground-based remote sensing research Infrastructures of the ERATOSTHENES CoE is used to monitor the atmospheric processes and provide profiling of aerosol, clouds and wind to study microphysical process in Limassol, Cyprus.

The successful candidate will be involved on the operation of the remote sensing facilities of the Centre and will participate in numerous trainings and field campaigns relevant to the topic of performed research.

The two (2) PhD positions in the field of Earth Observation & Remote Sensing in the subject area of Atmospheric Remote Sensing Research will focus on:

1. The PhD thesis will focus on the aerosol characterization using different remote sensing techniques.
2. The PhD thesis focuses on the combined analysis of remote sensing observations and modelled data for the aerosol characterization in Mediterranean region.

The Scientific approach will include:

• Remote Sensing Observations for Atmospheric Research
• Analysis of atmospheric ground-based observations with remote sensing instruments
• Analysis of space-borne remote sensing atmospheric parameters in support of ground-based observation
• Synergetic analysis of multi-platform aerosol datasets (e.g spaceborne and ground based remote-sensing and in situ)
• Application and development of innovative data processing chains
• Follow up quality standards and quality assurance tools of ground remote sensing observations

Responsibilities/activities to be involved in:

• Participation to the training activities and Research Infrastructures installation
• Responsible for the operation of remote sensing atmospheric following international standard operating procedures.
• Responsible for data processing using advanced software tools.
• Contribute to research related to Atmospheric Remote Sensing Observations
• Contribute to publications and communicate the research output and implications at different levels, including academic, public and policy related.
• Participate in the field intensive campaigns and research demonstration projects of ERATOSTHENES CoE
• Actively pursue regional and international networking, by participating in national and international conferences.

Funding:

The successful candidate will be employed as Graduate Research Assistant at the ERATOSTHENES Centre of Excellence. 

We offer competitive financial support with the exact salary level to will be confirmed during the interview.

Maximum Gross monthly salary in case of full time €2122

Duration: 36 Months

Envisaged Start Date: 1 September 2024

Required Qualifications:

• Master degree in Atmospheric Sciences, Physics, Environmental Studies, Meteorology, Engineering or related field.
• Basic knowledge of environmental physics and remote sensing.
• Basic knowledge of programming (e.g. Matlab, R, Python).
• Ability for scientific communication in English both verbal and writing.
• Strong analytical and organizational skills.
• High interpersonal skills and ability to work in a team.
• Willingness to participate in scientific experiments and field campaigns.
• Willingness to travel abroad and to participate in training activities, workshops and conferences.
• Experience in atmospheric remote sensing techniques is of advantage
• Driving license.

Research Advisor:

Name/Surname:

Diofantos Hadjimitsis

The three-member committees will include members from the strategic partners of the EXCELSIOR H2020 TEAMING PROJECT (e.g. TROPOS) & members of the Eratosthenes Center of Excellence or other members from collaborating centers of excellence/Universities (e.g. CARE-C)

Position:

Professor

Email:

d.hadjimitsis@cut.ac.cy

Research Topic Title:

“Earth Observation & Remote Sensing & Geoinformatics (Earth Surveillance & Space Monitoring of the Environment) in any of the following subjects:

Description:

“Environment and climate (agriculture, water resources, land use, natural and built environment)”

Agriculture: Modeling of Earth observation data for agricultural applications (e.g. agricultural monitoring, Common Agricultural Policy, sustainable agricultural practices, tools to support farmers, agricultural consultants and agricultural aid Paying Agencies, food security, Carbon Footprint)

Water Resources: Water resources management (e.g. drought, hydrodynamic energy, hydrological analysis, use of Copernicus data, river basin monitoring, coastal zone monitoring)

Land Use:  Land use and smart cities, urbanization, forest monitoring, forest management.

“Resilient societies (disaster risk reduction, cultural heritage, maritime safety, energy)”

Floods & Fires: Integrated use of Space, Geoinformation and Data analytics for disaster-related and natural hazards applications, including floods and fires (e.g., satellite remote sensing, diachronic burnt scar mapping, flood mapping, early warning, dynamic monitoring, modeling, active fire detection, burned area assessments, flood risk management plans, diachronic mapping of flooded areas).

Earthquakes / Geohazards:

• Integration of satellite Interferometry products with GNSS measurements and corner reflectors measurements for geohazards monitoring (e.g. geohazards, interferometry, deformations, landslides, subsidence, landslides, emergency management)
• Risk assessment, impact criteria scenario assessment, probabilistic estimations of losses
• Multi-hazard risk assessment

Health: Big Earth Observation data for applications related to seasonal diseases (e.g. epidemiology, vector, West Nile virus, dynamic modeling, machine learning)

Cultural heritage:

• European Copernicus Programme Evolution for Cultural Heritage Cross-service
• Use of virtual reality for restoration and reinforcement of monuments.
• Assessment of the risk of monuments and cultural heritage sites from geo-hazards.

Marine Surveillance: Marine environment monitoring, maritime safety and protection, maritime spatial planning, fish farming monitoring.

Investigation and monitoring of infrastructure/ roadworks (e.g. transport pavements)

“Big data management (information extraction, visual exploration and imaging, information collection and data fusion, geoinformatics).”

• Analysis of big geodata for the monitoring of seasonal diseases,
• Machine learning and artificial intelligence in geodata analysis,
• Development of Interoperable Geoinformatics and Geodesy Services,
• GNSS Big Data Management & Control
• Design and implementation of standard unmanned aerial platforms (UAVs) for environmental, urban, marine and agricultural management.
• Design and implementation of an integrated crisis management system with GIS technologies,
• Digital Twins for several applications (e.g. Climate, Maritime/Ocean etc)
• Artificial Intelligence in Earth Observation

Through the ‘ERATOSTHENES: Excellence Research Centre for Earth Surveillance and Space-Based Monitoring of the Environment’ with the acronym: ‘EXCELSIOR’, Horizon 2020 Widespread Teaming Phase 2 project (www.excelsior2020.eu), a new, autonomous and self-sustained Centre of Excellence entitled as ‘ERATOSTHENES Centre of Excellence (ECoE)’ (www.eratosthenes.org.cy) has been created. The ECoE focuses on conducting basic and applied research, and enabling innovation in the areas of remote sensing and space-based monitoring the environment. There are distinct needs and opportunities that motivate the establishment of an Earth Observation Centre of Excellence in Cyprus, which are primarily related to the geostrategic location of Cyprus that allows us to examine complex scientific problems and address user needs in the Eastern Mediterranean, Middle East and Northern Africa (EMMENA), as well as South-East Europe. An important objective of the ECoE is to become a fully functional Digital Innovation Hub and a Research Excellence Centre for EO in the EMMENA region. The DIH will create an ecosystem which combines state-of-the-art sensing and data management/processing technologies, cutting - edge research opportunities, targeted education services and promotion of entrepreneurship. In order to be dynamic and innovative, the DIH will be based on two major infrastructures, which are a Satellite Ground Receiving Station and a Ground.

The Consortium of the EXCELSIOR project consists of the Cyprus University of Technology (CUT), the German Aerospace Centre (DLR), the National Observatory of Athens (NOA), the German Leibniz Institute for Tropospheric Research (TROPOS) and the Department of Electronic Communications (DEC) from the Deputy Ministry of Research, Innovation and Digital Policy of the Cyprus Government. In the supervision of the PhD students is expected to have academics and researchers from DLR, TROPOS, NOA and other organisations/universities/research centres that are supporting the EXCELSIOR H2020 Teaming Project.

This PhD position refers to the research topics of the ‘Excelsior Phase 2’ H2020 Teaming Grant Agreement NO.857510 (Eratosthenes Centre of Excellence) (www.excelsior2020.eu) or to the AI-OBSERVER European Union’s Horizon Europe Framework Programme HORIZON-WIDERA-2021-ACCESS-03 (Twinning) under the Grant Agreement No 101079468

The 8 positions will be allocated accordingly to the faculty members below, and there will be members in the three-member committees from the strategic partners of the EXCELSIOR H2020 TEAMING PROJECT & members of the Eratosthenes Center of Excellence or other members from collaborating centers of excellence/Universities.

Research Advisor:

Name/Surname:

Diofantos Hadjimitsis

Christos Danezis  

Nicholas Kyriakides

Position:

Professor/Assistant Professor/Assistant Professor

Email:

d.hadjimitsis@cut.ac.cy

chris.danezis@cut.ac.cy

chris.danezis@cut.ac.cy

Research Topic Title:

Solar Energy under EXCELSIOR H2020 TEAMING PROJECT

Description:

These PhD positions fall within the field of Energy, specifically focusing on Solar Energy Forecasting and Solar Radiation Interactions with Earth’s Surface and Atmosphere.:

• Improvement of solar radiation/energy forecasting using satellite and ground based remote sensing of the atmosphere.

This PhD study aims to enhance solar radiation and energy forecasting by utilizing satellite and ground-based remote sensing technologies to monitor atmospheric conditions. The research will concentrate on refining radiative transfer and numerical weather prediction models to improve the accuracy of solar energy forecasts.

• Optimizing Urban Energy Sustainability: Integration and Optimization of Solar Rooftop Photovoltaic Systems

This PhD thesis focuses on urban energy sustainability, particularly emphasizing the integration of solar rooftop photovoltaic (PV) systems into urban environments. The research will explore methods to optimize energy generation, distribution, and consumption through the effective integration and optimization of PV systems within urban landscapes.

The Scientific approach for the first position will include:

• Remote Sensing Observations of Global and Spectral Solar Irradiance: Utilizing remote sensing techniques to observe global and spectral solar irradiance, gathering data for analysis and modeling.
• Development of Radiative Transfer Models: Incorporating in situ measurements (solar, aerosol, clouds), Earth Observation (EO), and Copernicus Atmosphere Monitoring Service (CAMS) data to develop radiative transfer models. These models will be applied for both solar energy nowcasting and forecasting applications.
• Study of Solar Radiation Transfer through the Atmosphere: Investigating the transfer of solar radiation through the atmosphere and its interactions with various atmospheric variables, including ozone, aerosols, and clouds.
• Development of Innovative Data Processing Chains: Developing advanced data processing chains, including the application of artificial intelligence methods, to improve solar energy forecasting accuracy and reliability.
• Quality Standards and Assurance for Solar Irradiance Observations: Implementing and maintaining quality standards and quality assurance tools for ground-based spectral and broadband solar irradiance observations to ensure data accuracy and reliability.
• Calibration Procedures for Solar Radiation Instruments: Developing and testing calibration procedures for spectral, broadband, and narrowband solar radiation instruments to maintain measurement accuracy and consistency.
• Investigation of Spectral Solar Radiation Effects on Ecosystem and Human Health: Researching the impacts of changes in spectral solar radiation on ecosystems and human health, contributing to a deeper understanding of the interactions between solar radiation and biological systems.

And for the second:

• Integration of Urban Energy Dynamics: Investigating the integration of solar energy forecasting and irradiance modeling with urban energy dynamics to optimize energy generation and consumption within urban environments.
• Assessment of Urban Energy Infrastructure: Evaluating the impact of solar energy integration on existing urban energy infrastructure and developing strategies for seamless integration and optimization.
• Urban Microclimate Analysis: Studying the effects of solar radiation transfer on urban microclimates and assessing how urban morphology influences solar energy availability and distribution.
• Community Engagement and Stakeholder Collaboration: Engaging with local communities and stakeholders to understand their energy needs and preferences, and collaborating to develop tailored solar energy solutions that enhance urban sustainability and resilience.
• Policy and Regulatory Considerations: Considering policy and regulatory frameworks that support the integration of solar rooftop photovoltaic systems into urban environments and exploring potential barriers and opportunities for implementation.

1. University degree (diploma/master) in physics, or environmental studies, or meteorology, or electrical engineering or in a related field
2. Knowledge of scientific programming (preferably Python and/or Matlab)
3. Knowledge or familiarity with Linux environment is of advantage
4. Familiarity with relevant software tools for simulation and analysis, such as GIS.
5. Ability for scientific communication in English
6. Willingness to participate in scientific experiments and field campaigns
7. Willingness to travel abroad and to participate in training activities and workshops
8. Experience with solar radiation measurements or radiative transfer models is of advantage

Further information on the goals of the Eratosthenes Centre of Excellence can be found below.

Through the ‘ERATOSTHENES: Excellence Research Centre for Earth Surveillance and Space-Based Monitoring of the Environment’ with the acronym: ‘EXCELSIOR’, Horizon 2020 Widespread Teaming Phase 2 project (www.excelsior2020.eu), a new, autonomous and self-sustained Centre of Excellence entitled as ‘ERATOSTHENES Centre of Excellence (ECoE)’ (www.eratosthenes.org.cy) has been created. The ERATOSTHENES CoE focuses on conducting basic and applied research, and enabling innovation in the areas of remote sensing and space-based monitoring the environment. There are distinct needs and opportunities that motivate the establishment of an Earth Observation Centre of Excellence in Cyprus, which are primarily related to the geostrategic location of Cyprus that allows us to examine complex scientific problems and address user needs in the Eastern Mediterranean, Middle East and Northern Africa (EMMENA), as well as South-East Europe. An important objective of the ECoE is to become a fully functional Digital Innovation Hub and a Research Excellence Centre for EO in the EMMENA region. The DIH will create an ecosystem which combines state-of-the-art sensing and data management/processing technologies, cutting - edge research opportunities, targeted education services and promotion of entrepreneurship. In order to be dynamic and innovative, the DIH will be based on two major infrastructures, which are a Satellite Ground Receiving Station and a Ground. The Consortium of the EXCELSIOR project consists of the Cyprus University of Technology (CUT), the ERATOSTHENES Centre of Excellence (ECoE), the German Aerospace Centre (DLR), the National Observatory of Athens (NOA), the German Leibniz Institute for Tropospheric Research (TROPOS), the Department of Electronic Communications (DEC) from the Deputy Ministry of Research, Innovation and Digital Policy of the Cyprus Government and the affiliated entities of CYRIC and Physikalisch-Meteorologisches Observatorium Davos, World Radiation Center (PMODWRC). In the supervision of the PhD students is expected to have academics and researchers from DLR, TROPOS, NOA, ECoE, PMODWRC and other organisations/universities/research centres that are supporting the EXCELSIOR H2020 Teaming Project.

Funding:

The successful candidate will be employed as Graduate Research Assistant at the ERATOSTHENES Centre of Excellence. 

We offer competitive financial support with the exact salary level to be confirmed during the interview.

Maximum Gross monthly salary in case of full time €2122

Duration: 36 Months

Envisaged Start Date: 1 September 2024

Research Advisor:

Name/Surname:

Diofantos Hadjimitsis

The three-member committees will include members from the strategic partners of the EXCELSIOR H2020 TEAMING PROJECT (e.g. TROPOS) & members of the Eratosthenes Center of Excellence or other members from collaborating centers of excellence/Universities (e.g. CARE-C)

Position:

Professor

Email:

d.hadjimitsis@cut.ac.cy