Studies start in September 2024
Deadline for applications: Friday, 19th of April 2024 (11:59 p.m.)
Information from the Department Secretary:
Electronic Form | Τηλ.: 25002542 | Φαξ.: 25002769
Research Topic Title | Fusion of Space and Ground Remote Sensing Datasets for Archaeo-landscape Studies | ||||||
No. of Openings: | 1 | ||||||
Description: | Fusion of remote sensed data and sensors for archaeological studies is a special research topic that remains open. The complexity of the matter lies in the different mode of operation of each sensor, its spectral sensitivity, as well as in the same heterogeneity and uniqueness of the archaeological landscape. The availability of big (geospatial) and open geo-data, known nowadays as Big Data, together with the development of new artificial intelligence techniques in terms of image processing, gives a new perspective for future research. The research is expected to contribute significantly to the better understanding and optimization of non-destructive fusion techniques for archaeological landscape studies. | ||||||
Funding: |
Funding for the position is not guaranteed, but it will be possible to attract partial/full funding from various research calls. |
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Required Qualifications: |
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Research Advisor: |
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Name/Surname: |
Athos Agapiou |
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Position: |
Assistant Professor |
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Email: |
Research Topic Title: | Earth Observation Datasets and Analysis for Endangered Monuments and Sites | ||||||
No. of Openings: | 1 | ||||||
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. |
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Funding: |
Funding for the position is not guaranteed, but it will be possible to attract partial/full funding from various research calls. |
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Required Qualifications: |
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Research Advisor: |
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Name/Surname: |
Athos Agapiou |
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Position: |
Assistant Professor |
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Email: |
Research Topic Title: | Cartographic perspectives on spatial and thematic levels of detail and scale issues in Virtual & Augmented Reality | ||||||
No. of Openings: | 1 | ||||||
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.
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Funding: |
Partial funding for the position is secured, with additional opportunities to secure full funding from various research calls and projects. |
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Required Qualifications: |
Additional qualifications that will be considered:
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).
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Research Advisor: |
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Name/Surname: |
Apostolos Papakonstantinou |
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Position: |
Assistant Professor |
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Email: |
Research Topic Title: |
3D Geovisualization of Spatiotemporal Changes using Game Engines. A Cartographic approach on spatial and thematic levels of detail in digital twins. |
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No. of Openings: | 1 | ||||||
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.
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Funding: |
Partial funding for the position is secured, with additional opportunities to secure full funding from various research calls and projects. |
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Required Qualifications: |
Additional qualifications that will be considered:
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).
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Research Advisor: |
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Name/Surname: |
Apostolos Papakonstantinou |
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Position: |
Assistant Professor |
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Email: |
Research Topic Title: | Geos-spatial decision making for land management/land administration using GIS and artificial intelligence | ||||||
No. of Openings: | 1 | ||||||
Description: |
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. |
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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. |
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Required Qualifications: |
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Research Advisor: |
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Name/Surname: |
Dr. Demetris Demetriou |
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Position: |
Lecturer |
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Email: |
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Research Topic Title: | 3-D Cadastre and 3-D city models for land management/land administration | ||||||
No. of Openings: | 1 | ||||||
Description |
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. |
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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. |
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Required Qualifications: |
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Research Advisor: |
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Name/Surname: |
Demetris Demetriou |
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Position: |
Lecturer |
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Email: |
Research Topic Title: | Modelling climate change and land policies to support disaster risk management | ||||||
No. of Openings: | 1 | ||||||
Description: |
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. |
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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. |
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Required Qualifications: |
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Research Advisor: |
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Name/Surname: |
Demetris Demetriou |
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Position: |
Lecturer |
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Email: |
Research Topic Title: | “Underwater Video Exploitation for 3D Reconstruction” | ||||||
No. of Openings: | 1 | ||||||
Description: | Photos are the golden standard for 3D reconstruction and Image Based Modelling, due to their quality and resolution. Nevertheless, videos are becoming a valid alternative for 3D reconstruction due to better compression algorithms, better cameras with higher resolution and the fact that video acquisition has advantages in some scenarios, like the underwater environment. Optimal extraction of video frames for 3D reconstruction, is an open research topic. The minimum number of frames should be selected from the video, while at the same time ensure that the object will be fully described in the 3D reconstruction. Selecting frames at a predefined rate, is far from optimal, since the coverage may vary due to variable camera speed and rotation as well as object's complex geometry. A similar issue but in real time is valid for odometry applications, where frames are skipped to reduce processing load. The candidate will work in developing algorithms for optimal frame extraction, either real time or near real time. | ||||||
Funding: |
Funding: for the position is not guaranteed |
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Required Qualifications: |
Candidates for this post should possess:
Additional qualifications which will be considered include:
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Research Advisor: |
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Name/Surname: |
Dimitrios Skarlatos |
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Position: |
Professor |
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Email: |
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Research Topic Title: | “Wave effect removal in video sequence” | ||||||
No. of Openings: | 1 | ||||||
Description: | Visual mapping of seafloor, especially in coastal sites, is increasingly important for a variety of disciplines, including environment, tourism, engineering, archaeology, etc. Using underwater cameras is the most popular way, but the drawback is the small frame and limited area coverage per image. Existing photogrammetric techniques to stich photos into an orthophotomosaic are time consuming and limited into small areas. Use of drones may facilitate larger areas with a single frame, allowing for greater coverage, but in lower hights the wave effect, renders photos useless. The candidate should use nadiral video captured from a stable hovering point, using computational photography and time series analysis, could provide a clear image of the seafloor, with several applications, such as photo shooting, video production and photogrammetry for coastal mapping | ||||||
Funding: |
Funding for this position is not guaranteed. |
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Required Qualifications: |
Candidates for this post should possess:
Additional qualifications which will be considered include:
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Research Advisor: |
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Name/Surname: |
Dimitrios Skarlatos |
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Position: |
Professor |
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Email: |
Research Topic Title: | “Augmented reality to support photogrammetric data acquisition” | ||||||
No. of Openings: | 1 | ||||||
Description: | During the last decade, Image Based Modelling and 3D reconstruction have been automated in such degree that the process was adopted by several professionals without photogrammetric expertise, including photographers, archaeologists, divers, enthusiasts, scholars, etc. In case of aerial acquisition using drones, technology provides automated navigation for data acquisition to ensure fully coverage of the object with guaranteed overlaps (i.e., mapping using drones). But in many scenarios, especially when using handheld camera for monument, construction or medium object documentation, the data acquisition process relies on photographer’s experience. No one can guarantee object’s full coverage, until full post processing. In case of gaps, it is very difficult, or expensive or even impossible to revisit the site and take additional photos. Therefore, the candidate will work towards developing an AR application which would suggest best positions for photos in real time and guide the user to the correct position for covering undercuts or hidden surfaces, will greatly enhance the data acquisition process, which is the bottleneck of the 3D reconstruction process, currently. | ||||||
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.
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Required Qualifications: |
Candidates for this post should possess:
Additional qualifications which will be considered include:
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Research Advisor: |
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Name/Surname: |
Dimitrios Skarlatos |
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Position: |
Professor |
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Email: |
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Research Topic Title: | Augmented Reality (AR) in GPS denied environment for Cultural Heritage (CH) | ||||||
No. of Openings: | 1 | ||||||
Description: | AR is attracting attention as an alternative mean to disseminate and promote CH sites. Although AR is well proven technology in open spaces with the aid of GPS and auxiliary sensors, the same doesn’t apply for museums, interior of historical buildings or underwater sites. WiFi and coded targets are an alternative for such cases, but still there are limitations in their use. The candidate should device a system to make use of computer vision techniques for localization as well as to specify important points of interest, which are tracked with a mobile device. Apart from localization the augmented reality guide will allow visitors to perceive a unique visualization of the reconstructed site/area in real-time performance through a user interface. | ||||||
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. |
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Required Qualifications: |
Candidates for this post should possess:
Additional qualifications which will be considered include:
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Research Advisor: |
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Name/Surname: |
Dimitrios Skarlatos |
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Position: |
Professor |
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Email: |
Research Topic Title: | Circular Economy practice and its application in the construction industry” | ||||||
No. of Openings: | 1 | ||||||
Description: | The Doctoral candidate will join the research group of Dr Yiatros and will investigate the potential of circular economy practices in the construction sector. Circular economy is one of the European Union’s priorities in creating an industry with zero emissions and zero waste. The construction sector contributes to a large proportion of the volume of waste produced in Europe and as such, the prospect of circular economy can offer value propositions for different players in the supply chain of the construction sector, from design to construction to waste management. Interested applicants are strongly advised to contact Dr Yiatros for further information | ||||||
Funding: |
There is no funding attached to this course |
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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.
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Research Advisor: |
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Name/Surname: |
Stylianos Yiatros |
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Position: |
Associate Professor |
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Email: |
Research Topic Title: | GNSS and Natural Hazards | ||||||
No. of Openings: | 1 | ||||||
Description: |
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:
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Funding: |
The position will be partially funded by on-going research grants secured by the Laboratory of Geodesy and the ERATOSTHENES Centre of Excellence. |
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Required Qualifications: |
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Research Advisor: |
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Name/Surname: |
Chris Danezis |
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Position: |
Associate Professor |
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Email: |
Research Topic Title: | Marine Geodesy | ||||||
No. of Openings: | 1 | ||||||
Description: |
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:
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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. |
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Required Qualifications: |
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Research Advisor: |
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Name/Surname: |
Dr Chris Danezis |
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Position: |
Associate Professor |
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Email: |
Research Topic Title: | Atmospheric Research and Remote Sensing of the Atmosphere | ||||||
No. of Openings: | 2 | ||||||
Description: |
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:
The Scientific approach will include:
Responsibilities/activities to be involved in:
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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
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Required Qualifications: |
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Research Advisor: |
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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)
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Position: |
Professor |
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Email: |
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Research Topic Title: |
“Earth Observation & Remote Sensing & Geoinformatics (Earth Surveillance & Space Monitoring of the Environment) in any of the following subjects: |
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No. of Openings: | 8 | |||||
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:
Health: Big Earth Observation data for applications related to seasonal diseases (e.g. epidemiology, vector, West Nile virus, dynamic modeling, machine learning)
Cultural heritage:
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).”
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.
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Research Advisor: |
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Name/Surname: |
Diofantos Hadjimitsis Christos Danezis Nicholas Kyriakides
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Position: |
Professor/Assistant Professor/Assistant Professor |
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Email: |
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Research Topic Title: |
Solar Energy under EXCELSIOR H2020 TEAMING PROJECT |
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No. of Openings: | 2 | |||||
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.:
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.
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:
And for the second:
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.
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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
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Research Advisor: |
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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)
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Position: |
Professor |
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Email: |