Θέσεις Εργασίας

[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-2403] Call for expression of interest for one (1) position of student enrolled to a University MSc Program in Computer Science or Computer Engineering or Electrical Engineering
We seek one (1) student enrolled to a University MSc Program in Computer Science or Computer Engineering or Electrical Engineering. The candidate will participate in the R&D activities of FORTH in the context of the EuroHPC JU-funded project NET4EXA. The NET4EXA project aims to create an advanced interconnect, which will scale to hundreds of thousands of computing nodes and will support modern HPC systems that are designed for massive AI tasks, such as the training of Large Language Models. The interconnect forms the backbone of such systems, and their overall performance is intimately tied to the scalability of the network and its tight coupling with the high-end compute elements Requirements • Enrolled to a University graduate MSc Program in Computer Science or Computer Engineering • Physical presence at FORTH, Heraklion, Crete for the duration of the position • Demonstrated experience with the C language. • Demonstrated knowledge with the runtime environment and compilations tools for HPC accelerators, such as NVIDIA GPU’s. • Demonstrated knowledge with workload-driven evaluation of GPU accelerators using AI frameworks, such a PyTorch or TensorFlow. • Demonstrated experience with communication protocols and abstractions for high-speed interconnects that provide RDMA-based operations. • Fluent knowledge of English. • Names of at least three professional references
Laboratory: CARV
Date of announcement: 08-10-2025
Closing date: 20-10-2025, 16:00
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[ICS-1517] Μία (1) θέση εγγεγραμμένου Μεταπτυχιακού Φοιτητή σε Ανώτατο Εκπαιδευτικό́ Ίδρυμα της ημεδαπής ή αλλοδαπής με αντικείμενο συναφές με το αντικείμενο του έργου
Ανάπτυξη μηχανισμών συλλογής δεδομένων από ετερογενείς συσκευές.
Laboratory: TNL
Date of announcement: 23-03-2020
Closing date: 07-04-2020, 16:00
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DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: 9Ξ39469ΗΚΥ-ΑΗΜ)
[ICS-1516] One (1) position of an experienced System Software Engineer, with a degree in Computer Science or Computer Engineering, at the Institute of Computer Science (ICS) Foundation for Research and Technology – Hellas (FORTH)
We seek one (1) experienced member for our team, with background in European Research Projects. The candidate will participate in the R&D activities of FORTH in the context of the project EPI: “European Processor Initiative”. The EPI SGA project will be the first phase of the European Processor Initiative Framework Partnership Agreement, whose aim is to design and implement a roadmap for a new family of low-power European processors for extreme scale computing, high-performance Big-Data and a range of emerging applications.
Laboratory: CARV
Date of announcement: 19-03-2020
Closing date: 03-04-2020, 16:00
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DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: 9ΠΦ9469ΗΚΥ-ΑΛ2)
[ICS-1515] Οne position (1) of a Postdoc- Experienced Researcher in the Institute of Computer Science (ICS) Foundation for Research and Technology – Hellas (FORTH)
We seek a Postdoc- Experienced Researcher 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 Activity Patterns in Focal Cortical Seizures” funded by the Fondation Santé.
Laboratory: TNL
Date of announcement: 17-03-2020
Closing date: 01-04-2020, 16:00
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DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: Ω83Μ469ΗΚΥ-ΛΣΘ)
[ICS-1514] One position (1) of an Engineer - Data scientist in the Institute of Computer Science (ICS) Foundation for Research and Technology – Hellas (FORTH)
We seek an engineer/data scientist 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 Activity Patterns in Focal Cortical Seizures” funded by the Fondation Santé.
Laboratory: TNL
Date of announcement: 17-03-2020
Closing date: 01-04-2020, 16:00
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DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: 6ΚΕΒ469ΗΚΥ-ΤΚΜ)
[ICS-1513] Μία (1) θέση εγγεγραμμένου Διδακτορικού Φοιτητή με Μεταπτυχιακό τίτλο σπουδών στην Επιστήμη Υπολογιστών, Μηχανικής Υπολογιστών, Νευροεπιστημών ή σε συναφές πεδίο
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. Το προτεινόμενο διεπιστημονικό έργο αφορά τον χαρακτηρισμό in vivo της λειτουργικής αρχιτεκτονικής των δικτύων του οπτικού φλοιού, αναλύοντας δεδομένα που συλλέχθηκαν σε πειράματα, σε συνεργασία με την Ιατρική Σχολή του Πανεπιστημίου Harvard.
Laboratory: TNL
Date of announcement: 16-03-2020
Closing date: 30-04-2020, 16:00
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DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: 69ΜΗ469ΗΚΥ-ΖΒΞ)

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