Jobs

[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-2164] Call for expression of interest for one (1) position of an R&D Engineer, in the Institute of Computer Science (ICS) Foundation for Research and Technology – Hellas (FORTH)
We seek one recent graduate member for our team. The candidate will participate in the R&D activities of FORTH in the context of the project REBECCA. The project REBECCA, a heavily SME-driven project, will democratize the development of novel edge AI systems. Towards this aim, REBECCA will develop a purely European complete Hardware(HW) and Software(SW) stack around a RISC-V CPU, which will provide significantly higher levels of a) performance (e.g. inferences per second), b) energy/power efficiency (e.g. inferences per joule/watt), c) safety and d) security than the existing ones. This will be achieved by utilizing state-of-the-art technologies and by making significant scientific and technological advances in several key relevant domains, including a) processing units, b) hardware accelerators, c) reconfigurable hardware, d) tightly coupled interconnected chiplets e) HW/SW co-design and co-development tools, f) system software, g) middleware, and h) AI libraries and frameworks. REBECCA will significantly contribute to realizing business and societal opportunities by validating and demonstrating its approach on 4 real-world use cases and 2 benchmarks based on real-world applications from the Smart appliances, Energy Generation, Infrastructure Inspection, Avionics Automotive and Health domains.
Laboratory: CARV
Date of announcement: 20-02-2024
Closing date: 04-03-2024, 16:00
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DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: 91ΒΩ469ΗΚΥ-1ΧΔ)
[ICS-2163] Call for expression of interest for one (1) position of a Biostatistician for the analysis of statistical data in the Institute of Computer Science (ICS) Foundation for Research and Technology – Hellas (FORTH)
The candidate will participate in the R&D work of FORTH within the ODIN project. We are looking for a junior biostatistician that will work in a multidisciplinary team to analyse existing data from hospitals on material usage and design and implement a machine learning model for predicting consumables for the future for the hospital.
Laboratory: CBML
Date of announcement: 19-02-2024
Closing date: 29-02-2024, 16:00
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DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: Ρ52Α469ΗΚΥ-ΡΣΖ)
[ICS-2162] Call for expression of interest for a position of one (1) MSc Student for Artificial Intelligence and Data Science in the Institute of Computer Science (ICS) Foundation for Research and Technology – Hellas (FORTH)
The candidate will participate in the R&D work of FORTH within the GenoMed4All project. We are looking for a Software Engineer to be part of the team designing, implementing a variety of machine learning algorithms and deep learning techniques using state-of-the-art tools for bioinformatics and biomedical data analysis.
Laboratory: CBML
Date of announcement: 19-02-2024
Closing date: 29-02-2024, 16:00
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DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: 9ΘΩΥ469ΗΚΥ-Π7Θ)
[ICS-2161] Call for expression of interest for one (1) position of an R&D Engineer in the Institute of Computer Science (ICS) Foundation for Research and Technology – Hellas (FORTH)
We seek an experienced member for our team, a R&D Engineer, with background in Linux and kernel programming along with experience on EU-funded projects. The candidate will participate in the Research & Development activities of FORTH in the context of the project “CONSOLE: Cybersecurity for Resilient Software Development, funded under DIGITAL- ECCC-2022-CYBER-03. The candidate will be involved in the development of a cybersecurity training solution. To this extent, prior experience in cyber-security and system programming are very important qualifications for the position offered.
Laboratory: DISCS
Date of announcement: 16-02-2024
Closing date: 26-02-2024, 16:00
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DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: 98ΕΝ469ΗΚΥ-ΓΧΡ)
[ICS-2160] Πλήρωση μίας (1) θέσης έκτακτου προσωπικού (Αναλυτή Δεδομένων)
Η κατανόηση του τρόπου με τον οποίο τα δίκτυα από κύτταρα του φλοιού συντονίζονται και αλληλο-επιδρούν μεταξύ τους, προκειμένου να επεξεργάζονται τις πληροφορίες και να επιτρέπουν στα κυκλώματα του φλοιού να τροποποιούνται κατά τη διάρκεια της μάθησης είναι περιορισμένη. Ανωμαλίες στη λειτουργική συνδεσιμότητα των νευρωνικών δικτύων, ειδικά στον οπτικό φλοιό, χαρακτηρίζουν το Alzheimer's disease (AD). Το προτεινόμενο διεπιστημονικό έργο αφορά τον χαρακτηρισμό in vivo της αρχιτεκτονικής των λειτουργικών δικτύων του οπτικού φλοιού και των αλλαγών τους κατά τη διάρκεια της εξέλιξης της νόσου. Τα μοτίβα λειτουργικής συνδεσιμότητας μεταξύ των νευρώνων θα παρακολουθούνται, σε συνθήκες ηρεμίας και μάθησης. Επίσης, οι ιδιότητες της οπτικής απόκρισης θα καταγράφονται ως συνάρτηση της εξέλιξης της νόσου. Οι αναλυτές δεδομένων σε συνεργασία με την ομάδα του έργου θα ασχοληθούν με την ανάλυση των δεδομένων αυτών, εφαρμόζοντας αλγορίθμους μηχανικής μάθησης και στατιστικής ανάλυσης. Η ομάδα συνεργάζεται στενά με την Ιατρική Σχολή του Harvard.
ΑΠΟΦΑΣΗ ΠΑΡΑΤΑΣΗΣ (.pdf)
Laboratory: TNL
Date of announcement: 16-02-2024
Closing date: 01-04-2024, 16:00
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DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: 6ΕΣ0469ΗΚΥ-57Η)

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