Jobs

[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-1503] Mία (1) θέση Μεταπτυχιακού Συνεργάτη στο πλαίσιο του έργου Τηλεργάτης του ΙΠ-ΙΤΕ
Αντικείμενο: Ανάπτυξη συστήματος για μεταγλωττισμό και απομακρυσμένο προγραμματισμό ως υπηρεσία.
Laboratory: TNL
Date of announcement: 20-02-2020
Closing date: 06-03-2020, 16:00
Available Results :
Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: ΩΓΗΓ469ΗΚΥ-ΟΘ8)
[ICS-1502] Μία (1) θέση Aρχαιολόγου ‐ μουσειολόγου με εξειδίκευση στην πληροφορική
 Μελέτη απαιτήσεων και σχεδιασμός ψηφιακής υποδομής  Υλοποίηση ψηφιακής υποδομής και τροφοδότηση με ενδεικτικά δεδομένα  Χρήση της ψηφιακής υποδομής και εκπαίδευση χρηστών
Laboratory: ISL
Date of announcement: 19-02-2020
Closing date: 05-03-2020, 16:00
Available Results :
Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: 97ΑΟ469ΗΚΥ-ΩΣΑ)
[ICS-1501] Μία (1) θέση Διδακτορικού φοιτητή, με γνώσεις τεχνολογιών σημασιολογικής επισημείωσης σε κείμενα, τεχνολογιών αναπαράστασης και συλλογιστικής με έμφαση σε θέματα ολοκλήρωσης και τεχνολογιών επεξεργασίας φυσικής γλώσσας
 Ερευνητική μελέτη, ανάπτυξη και αξιολόγηση ερευνητικών πρωτοτύπων για την σημασιολογική επισημείωση κειμένων  Ερευνητική μελέτη, ανάπτυξη και αξιολόγηση συστημάτων ολοκλήρωσης δεδομένων  Ερευνητική μελέτη, ανάπτυξη και αξιολόγηση συστημάτων επεξεργασίας φυσικής γλώσσας για τον εντοπισμό και αναπαράσταση επιχειρημάτων και συζητήσεων σε φυσική γλώσσα  Ανάπτυξη επιδείξιμων συστημάτων εφαρμογής των παραπάνω μεθοδολογιών  Συμμετοχή στην αξιολόγηση των παραπάνω συστημάτων σε πραγματικό περιβάλλον
Laboratory: ISL
Date of announcement: 19-02-2020
Closing date: 05-03-2020, 16:00
Available Results :
Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: 6Π34469ΗΚΥ-ΤΧ6)
[ICS-1500] Three (3) Post-Doctoral “Stavros Niarchos Foundation – FORTH Fellowships” within the project ARCHERS
The Institute of Computer Science (ICS) of the Foundation for research and Technology Hellas (FORTH), in the framework of the project ARCHERS, aimed at reducing or even reversing the brain drain, which is funded by an exclusive donation of the Stavros Niarchos Foundation, is seeking to recruit three (3) postdoctoral fellows. These Stavros Niarchos Foundation – FORTH fellows are expected to perform high quality research within one of the research areas in which ICS-FORTH excels both on the national and the international level.
Laboratory: HCI
Date of announcement: 18-02-2020
Closing date: 19-03-2020, 16:00
Available Results :
Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: ΨΦ92469ΗΚΥ-7ΡΜ)
[ICS-1499] One (1) position of student enrolled in a University Graduate Program in Computer Science, Electrical Engineering or related fields
We seek a student enrolled to a University Graduate Program for our team with a strong background in machine learning and/or statistical analysis. The candidate will participate in our exciting new computational neuroscience project entitled “Neuronal Networks in Epilepsy−Deciphering the Role of Ac[vity Paerns in Focal Cor[cal Seizures” funded by the Fondation Santé. The main focus of the project is to decipher how abnormal activity patterns emerge across different cortical-neuron types, what EEG-patterns they correspond with, and how they evolve into full-fledged seizure events. For that, we apply various machine-learning and statistical analysis algorithms to identify what abnormal interactions between pyramidal neurons and different types of interneurons allow hyper-synchrony (seizure) to emerge. Researchers from Harvard Medical School participate actively in this project by providing datasets and helping in the biological interpretation of the results. The candidate will participate in various data analysis and dissemination activities in the context of the project. Prior experience in machine learning, data science, and statistical analysis is an important aspect for the project. Experience in computational neuroscience is a plus but not a prerequisite.
Laboratory: TNL
Date of announcement: 17-02-2020
Closing date: 03-03-2020, 16:00
Available Results :
Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: 9ΨΔΩ469ΗΚΥ-Α2Ψ)

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