Θέσεις Εργασίας

[ICS-2409] Call for expression of interest for a position of a PostDoc Researcher, expert in GenAI in multimodal clinical data in the Institute of Computer Science (ICS)- (FORTH)
The candidate will participate in the R&D work of FORTH within the FAITH project. We are looking for a PostDoc Researcher to be part of the team designing, implementing, testing and validating ML models and developing methods for the assessment of their trustworthiness.
Laboratory: CBML
Date of announcement: 20-10-2025
Closing date: 30-10-2025, 16:00
[ICS-2408] Μία (1) θέση έκτακτου προσωπικού για Πτυχιούχο Ηλεκτρολόγου Μηχανικού Τεχνολογικής Εκπαίδευσης
Σχεδίαση και ανάπτυξη εφαρμογών σε περιβάλλοντα διάχυτης νοημοσύνης.
Laboratory: HCI
Date of announcement: 20-10-2025
Closing date: 30-10-2025, 16:00
[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
[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
[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
[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

Archive

[ICS-1523] Μία (1) θέση έκτακτου προσωπικού για Υποψήφιο Διδάκτορα σε Επιστήμη Υπολογιστών ή Βιοπληροφορική
Υλοποίηση αλγορίθμων υπολογιστικής νοημοσύνης ανάλυσης σημασιολογικών δικτύων μοριακών δεδομένων. Ανάπτυξη αλγοριθμικών διεπαφών σύντηξης σημασιολογικών δικτύων και δικτύων μοριακών αλληλεπιδράσεων. Υλοποίηση/ενσωμάτωση με χρήση μεθοδολογιών εικονικοποίησης (περιέκτες) σε υπολογιστικές υποδομές πλέγματος. Εκτίμηση αποτελεσμάτων με προσομοιώσεις και πραγματικά δεδομένα/ Βελτιστοποίηση.
Laboratory: CBML
Date of announcement: 07-05-2020
Closing date: 22-05-2020, 16:00
Available Results :
Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: 99Χ4469ΗΚΥ-Λ6Β)
[ICS-1522] μίαΜία (1) θέση έκτακτου προσωπικού μερικής απασχόλησης, ειδικότητας Παιδιάτρου, στο πλαίσιο της Πράξης «Προηγμένο Σύστημα Πρόληψης Επικίνδυνων Καταστάσεων για Βρέφη (x (επι) ΒΛΕΨΙΣ)», με κωδικό ΟΠΣ 5031820, του ΙΠ-ΙΤΕ
Ανάπτυξη ολοκληρωμένου συστήματος καταγραφής μη επεμβατικών σημάτων με στόχο τον υπολογισμό βιοδεικτών κατάλληλων να ανιχνεύουν δυνητικά παθολογικές καταστάσεις σε βρέφη.
Laboratory: CBML
Date of announcement: 15-04-2020
Closing date: 30-04-2020, 16:00
Available Results :
Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: ΩΖΡΛ469ΗΚΥ-ΞΔΑ)
[ICS-1521] Μία (1) θέση έκτακτου προσωπικού για Πτυχιούχο Πληροφορικής/Επιστήμης Υπολογιστών ΑΕΙ/ΑΤΕΙ ή Πολυτεχνικής Σχολής στον τομέα του Ηλεκτρονικού/Ηλεκτρολόγου Μηχανικού ή του Μηχανικού Ηλεκτρονικών Υπολογιστών
Απασχόληση στο πακέτο εργασίας του έργου ΠΕ2 «Ανάπτυξη – κατασκευή – Εκπαίδευση του Συστήματος – Δοκιμή του συστήματος». Συγκεκριμένα, συμμετοχή στην δημιουργία ολοκληρωμένης πλατφόρμας (software/hardware) για την ταξινόμηση της φρεσκότητας ψαριών μέσω την εφαρμογής εκπαιδευμένων αρχιτεκτονικών βαθιάς μάθησης (inference) σε υπερφασματικής εικόνες, καθώς και της αλληλεπίδρασης της πλατφόρμας με το σύστημα αποθετηρίου. Συμμετοχή σε δράσης δημοσιότητας ΠΕ3.
Laboratory: SPL
Date of announcement: 13-04-2020
Closing date: 28-04-2020, 16:00
Available Results :
Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: ΩΘ50469ΗΚΥ-Ε90)
[ICS-1520] Μία (1) θέση έκτακτου προσωπικού για Κάτοχο Μεταπτυχιακού τίτλου σπουδών στην Πληροφορική ή Επιστήμη Υπολογιστών ή Μηχανικών Η/Υ ή Ηλεκτρολόγων Μηχανικών & Μηχανικών Η/Υ
Ανάπτυξη διαδικτυακής εφαρμογής για τη διαχείριση ανοικτών επιστημονικών ροών στη βιοπληροφορική και ανάλυση γονιδιωματικών δεδομένων σε περιβάλλοντα υπολογιστικού νέφους.
Laboratory: CBML
Date of announcement: 10-04-2020
Closing date: 27-04-2020, 16:00
Available Results :
Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: 699Π469ΗΚΥ-Μ35)
[ICS-1519] One (1) position for Junior Software Engineer for image processing
The candidate will participate in the R&D work of FORTH within the SeeFar project. We are looking for a junior software engineer that will work in a multidisciplinary team to implement and test a number of algorithmic approaches for the detection and classification of several retina diseases in fundus images, as well as the segmentation of relevant lesions, allowing the monitoring of the diseases, by utilizing big data, data analytics and machine learning methods.
Laboratory: CBML
Date of announcement: 10-04-2020
Closing date: 27-04-2020, 16:00
Available Results :
Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: Ω6ΛΕ469ΗΚΥ-Λ09)

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