Θέσεις Εργασίας

[ICS-2410] Πλήρωση μίας (1) θέσης έκτακτου προσωπικού (Scientific personnel – Postgraduate student)

Στο πλαίσιο της υλοποίησης της Πράξης «Computational Intelligence for Signal Sensing and Analysis- Υπολογιστική νοημοσύνη στην καταγραφή και ανάλυση σημάτων», Ακρωνύμιο: COMPASS και κωδικό «26302», που χρηματοδοτείται στο πλαίσιο της «3ης Προκήρυξης Ερευνητικών Έργων ΕΛ.ΙΔ.Ε.Κ. για την ενίσχυση Μελών ΔΕΠ και Ερευνητών/τριών», το Ινστιτούτο Πληροφορικής του Ιδρύματος Τεχνολογίας και Έρευνας (ΙΠ-ΙΤΕ) προτίθεται να απασχολήσει έναν Scientific personnel – Postgraduate student, με τον/την οποίο/α θα συνάψει σύμβαση εργασίας ορισμένου χρόνου με αντικείμενο : 1. Ανάλυση των δεδομένων του έργου και συμμετοχή στην συγγραφή των παραδοτέων του έργου και επιστημονικών άρθρων 2. Συστηματική συνεργασία με τα μέλη της ομάδας 3. Συμμετοχή σε εκδηλώσεις διάχυσης των αποτελεσμάτων του έργου 4. Παρουσιάσεις άρθρων (σχετικών εργασιών) στα πλαίσια των συναντήσεων της ομάδας.

Laboratory: SPL

Date of announcement: 30-10-2025

Closing date: 10-11-2025, 16:00

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[ICS-2407] Call for expression of interest for one (1) position, for one experienced researcher (PhD holder) in Computer Science or Engineering

We seek one experienced researcher (PhD holder) in Computer Science or Engineering with a strong background in AI, simulation systems, and decision support technologies, to join the SEAVISTA project – Strategic Enhanced Maritime Awareness for Integrated Security and Decision Support – funded under the FRONTEX RESEARCH GRANTS PROGRAMME, PROCEDURE 2024/CFP/INNOVATE/01. SEAVISTA aims to develop an AI-driven, event-based decision support toolbox for maritime border surveillance. The system integrates multi-source sensory data, predictive analytics, and physics-informed 3D simulation for real-time and offline threat detection, anomaly analysis, and asset deployment optimization. The candidate will lead research on AI-driven decision support for maritime border surveillance using physics-informed simulation, multi-source data fusion, and explainable machine learning. Specifically: • AI-based maritime threat detection, predictive models, and optimization methods • Integration of simulation with multi-modal data (AIS, radar, satellite, environmental) • Development of evaluation methodologies and explainable AI pipelines • Coordination of experimentation and validation tasks at TRL 5–6

Laboratory: CVRL

Date of announcement: 20-10-2025

Closing date: 31-10-2025, 16:00

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[ICS-2406] Call for expression of interest for one (1) position for one MSc student in Computer Science or Computer Engineering or Electrical Engineering

We seek one MSc student in Computer Science or Computer Engineering or Electrical Engineering to support the implementation and testing of software components in the context of the SEAVISTA project – Strategic Enhanced Maritime Awareness for Integrated Security and Decision Support – funded under the FRONTEX Research Grants Programme (2024/CFP/INNOVATE/01). The job scope is AI-driven decision support for maritime border surveillance using physics-informed simulation, multi-source data fusion, and explainable machine learning. The selected candidate will assist in the integration and testing of AI models, data pipelines, and simulation tools, helping bridge the gap between research prototypes and robust demonstrators for maritime situational awareness. Specifically, the job’s main responsibilities are: • Develop and maintain code for data preprocessing, pipelines, and interfaces • Implement prototype features within simulation and analytics components • Conduct testing and validation of AI-based subsystems • Support documentation and demos for project deliverables

Laboratory: CVRL

Date of announcement: 20-10-2025

Closing date: 31-10-2025, 16:00

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[ICS-2405] Call for expression of interest for one (1) position of Computer Scientist or Engineer, MSc holder

We seek one Computer Scientist or Engineer (MSc holder) with a background in machine learning and data fusion, to join the SEAVISTA project – Strategic Enhanced Maritime Awareness for Integrated Security and Decision Support – funded under the FRONTEX Research Grants Programme (2024/CFP/INNOVATE/01).The scope of the position is AI-driven decision support for maritime border surveillance using physics-informed simulation, multi-source data fusion, and explainable machine learning. The selected candidate will contribute to the development of AI-based models for anomaly detection, behavior classification, and real-time risk assessment in maritime environments. The position involves working with diverse data sources (e.g., AIS, radar, satellite) and supporting the integration of these capabilities into the SEAVISTA simulation and decision support platform.

Laboratory: CVRL

Date of announcement: 20-10-2025

Closing date: 31-10-2025, 16:00

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[ICS-2404] Call for expression of interest for one (1) position, for a Computer Scientist or Engineer

We seek one experienced member for our team, one Computer Scientist or Engineer, with background in European and/or National ICT RTD projects, to contribute to the research and development activities of the COLOURS - Collaborative On-cloud Lab for the conservation and digital restoration of ColOUred heritage collectionS project (Grant Agreement number: 101233413), funded under HORIZON-CL2-2024-HERITAGE-ECCCH-01-05.Preserving Europe’s cultural heritage requires advanced digital tools that enable seamless collaboration among curators, conservators, and scientists. These tools must preserve primary data referenced to digital representations and twins and maintain documentation of analysis and reasoning processes. They must also preserve “raw” primary data to ensure accuracy and integrity and support future analysis techniques as the methods evolve. Colour, a key element of cultural heritage, is critical to understanding the historical and artistic significance of artefacts. However, its preservation faces challenges such as fading, alteration or loss. Events like the Notre Dame fire highlight the need for adaptive collaborative environments, while public reaction to the Sistine Chapel restoration highlights the importance of tools that predict and communicate restoration results. Building on 2 years of research and development conducted under PERCEIVE, the project aims to make a major contribution to the digital transition of cultural heritage conservation and restoration by developing integrated colour analysis and restoration tools tailored to diverse artefacts, including polychrome sculptures, paintings, textiles, historic films and photographs. These tools, fully interoperable with the European Collaborative Cloud for Cultural Heritage, will provide high-precision analysis, simulate restoration results with perceptual accuracy, and support interdisciplinary collaboration through hybrid spaces that merge virtual and physical environments. These spaces will enable real-time interaction with the digital twins , fostering inclusive decision-making among conservators, curators, and scientists, while ensuring accessibility for remote participants. In addition, the project seeks to enhance public engagement by leveraging mixed reality technologies and digital storytelling to showcase restored colours and convey the authenticity of artefacts, promoting a deeper appreciation of CH.

Laboratory: CVRL

Date of announcement: 20-10-2025

Closing date: 31-10-2025, 16:00

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[ICS-955] 1 position for early career researcher

The REtinal VAscular Modeling, Measurement And Diagnosis (REVAMMAD) project will train a new generation of scientists able to effectively translate the latest vascular modeling theory and computerized image analysis techniques into effective interventions for some of the most important chronic medic conditions afflicting the EU, including hypertension and diabetes. It will particularly ensure that there is rich clinical and industrial involvement to ensure that the training is focused with end-users and exploitation in mind. The vasculature undergoes changes in response to early stages of these diseases, reflecting fundamental physiological processes within the vessels. The retina provides a unique “window onto the vasculature”, allowing it to be viewed and measurements made in vivo, and advances in imaging technologies make it increasingly possible to measure subtle changes using computer vision algorithms, including through routine medical checks such as eye tests. The field is currently fragmented, with many excellent pockets of collaboration focused on defined specialisms, particularly between clinicians and modelers, or clinicians and measurement specialists, but lacking overall structure. Despite the importance and incidence of the diseases and the evidence for the possibility of better diagnosis through imaging, there has been relatively little translation of theory into clinical practice. Integrative action is required to train researchers who understand the medical, clinical, technological and commercial aspects of the problem domain and to establish common working methodologies and tools across the field. REVAMMAD will train early careers researchers who combine these skills in order to motivate the introduction of high impact interventions in the future.

Laboratory: CVRL

Date of announcement: 01-01-2013

Closing date: 03-06-2013, 16:00

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