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
[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-2240] Call for expression of interest for one (1) position of Hardware R&D Engineer, in the Institute of Computer Science (ICS) Foundation for Research and Technology – Hellas (FORTH)
We seek one (1) Hardware R&D Engineer for our team. The candidates should have proven experience with hardware design and FPGA prototyping. The candidate will participate in the R&D activities of FORTH-ICS in the context of the H2020-JTI-EuroHPC project The European PILOT. Accelerators provide the majority of performance in modern High-Performance Computing (HPC) systems and are the fundamental building blocks for Exascale systems. The European PILOT (Pilot using Independent Local & Open Technology) will be the first demonstration of two ALL European HPC and High-Performance Data Analytics (HPDA) (AI, ML, DL) accelerators, designed, implemented, manufactured, and owned by Europe. The European PILOT combines open-source software (SW) and open and proprietary hardware (HW) to deliver the first completely European full stack software, accelerator, and integrated ecosystem based on RISC-V accelerators coupled to any general purpose processor (CPU) via PCIe Gen 6.0 or CXL 3.0. This pilot will demonstrate key HPC and HPDA workloads and software stacks. The European PILOT is also the first to demonstrate an ALL European HPC ecosystem. The accelerators will be manufactured in the new European GlobalFoundries 12 nm advanced silicon technology, a major demonstration of European technology independence. The European PILOT combines cutting edge research utilizing SW/HW co-design to demonstrate HPC and HPDA accelerators running key applications and libraries in a full software stack including middleware, runtimes, compilers, and tools for the emerging RISC-V ecosystem. The European PILOT is able to produce a full stack (SW and HW) research prototype by leveraging and extending the work done in multiple European projects like: EPI, MEEP, POP2 CoE, EuroEXA, and ExaNeSt. This pre-production system can only be realized with a combination of existing IP, HW emulation using FPGAs, and real ASIC prototypes that demonstrate the full stack feasibility of the hardware and software. Finally, while the applications we use span AI to HPC, the aggressive ASIC implementation (chiplet size and small geometry) will be the smallest technology node manufactured in Europe and can easily be adapted for a near-future HPC implementation.
Laboratory: CARV
Date of announcement: 23-08-2024
Closing date: 02-09-2024, 16:00
Available Results :
Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: ΨΗ5Ε469ΗΚΥ-ΨΚΝ)
[ICS-2239] Call for expression of interest for one (1) position of Experienced Hardware R&D Engineer, in the Institute of Computer Science (ICS) Foundation for Research and Technology – Hellas (FORTH)
We seek one (1) Experienced Hardware R&D Engineer for our team. The candidate should have proven multi-year experience on hardware RTL design, integration and validation with a background in European Research Projects. The candidates will participate in the R&D activities of FORTH in the context of the EuroHPC JU project EPI-SGA2. The European Processor Initiative develops a roadmap for future European high-performance low power processors aligned with the EuroHPC roadmap. EPI focuses on processor technologies based on ARM ISA and architecture for covering the short-term needs and HPC accelerator technologies based on RISC-V, the open-source ISA. RISC-V is also candidate to become the Europa’s own technologies for covering long term objectives. SGA2 also seeks to expand the scope of the project into adjacent European and global vertical markets that can leverage HPC to enable new and improved systems and solutions. The EPI SGA2 proposal, built on top of EPI SGA1 represents the second step toward the implementation of this roadmap. SGA2 has a three-year duration with the following objectives: a) Finalize the development and the bring-up of the first generation of low-power processor units developed in SGA1, b) Develop the second generation of the General Purpose Processor (GPP) applying technological enhancements targeting the European Exascale machines with respect to the GPP (Rhea) of SGA1, c) Develop the second generation of low power accelerator test chips, usable by the HPC community for tests and finally d) Develop sound and realistic industrialisation & commercialisation paths and enable the long-term economical sustainability with an industrialization path in the edge computing area, demonstrated in a few well-chosen proof of concepts like autonomous shuttles or video surveillance.
Laboratory: CARV
Date of announcement: 23-08-2024
Closing date: 02-09-2024, 16:00
Available Results :
Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: ΡΦΧΠ469ΗΚΥ-ΤΟ0)
[ICS-2238] Μία (1) θέση έκτακτου προσωπικού για Μηχανικό Λογισμικού με Πτυχίο Ανώτατης Εκπαίδευσης
Εργασίας Ε4.1 Οπτικοποίηση δεδομένων & Ε4.2 Διαδικτυακές Εφαρμογές πρόσβασης Χρηστών και Πίνακες Ελέγχου (Παραδοτέα: Π4.1. Διαδικτυακές Εφαρμογές πρόσβασης Χρηστών).
Laboratory: ICS
Date of announcement: 31-07-2024
Closing date: 22-10-2024, 16:00
Available Results :
Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: ΨΤΒ0469ΗΚΥ-1ΟΑ)
[ICS-2237] Πρόσκληση Εκδήλωσης Ενδιαφέροντος για μία (1) θέση έκτακτου προσωπικού για Διαχείριση ανθρώπινου δυναμικού και ποιότητας
Στο πλαίσιο της υλοποίησης νέων αναπτυξιακών έργων πληροφορικής που έχει αναλάβει το Κέντρο Εφαρμογών και Υπηρεσιών Ηλεκτρονικής Υγείας του Ινστιτούτου Πληροφορικής του Ιδρύματος Τεχνολογίας και Έρευνας), το Ινστιτούτο Πληροφορικής του Ιδρύματος Τεχνολογίας και Έρευνας (ΙΠ-ΙΤΕ) προτίθεται να απασχολήσει έκτακτο προσωπικό, μέσω σύναψης σύμβασης μίσθωσης έργου.Το αντικείμενο του έργου του προσωπικού που θα απασχοληθεί στο πλαίσιο της παρούσας Πρόσκλησης παρατίθεται παρακάτω. • Έχει την ευθύνη για την μελέτη, ανάπτυξη και τεκμηρίωση του Ολοκληρωμένου Συστήματος Διαχείρισης Ποιότητας του Κέντρου Εφαρμογών και Υπηρεσιών Ηλεκτρονικής Υγείας. Αποτελεί τον/την εκπρόσωπο του Κέντρου σε θέματα ποιότητας στις σχέσεις της με τρίτους π.χ. πελάτες, σύμβουλοι, Φορείς Πιστοποίησης, Φορείς Διαπίστευσης κτλ. • Εποπτεύει την εφαρμογή του συστήματος σε όλα τα τμήματα, παρακολουθεί την απόδοσή τους και αναφέρεται σχετικά στον Επικεφαλής του Κέντρου προτείνοντας βελτιώσεις. • Εκπαιδεύει το προσωπικό για νομοθετικές απαιτήσεις ιατροτεχνολογικών προϊόντων και για το Σύστημα Διαχείρισης Ποιότητας. • Κάνει στατιστική ανάλυση των στοιχείων και αρχείων που αφορούν το Σύστημα Διαχείρισης Ποιότητας και καθορίζει ποιοτικούς και ποσοτικούς στόχους. • Συντονίζει και λαμβάνει μέρος στις εσωτερικές επιθεωρήσεις για πιστοποιήσεις ΙSO, όταν αυτές υλοποιούνται στο Κέντρο, εποπτεύει και συντονίζει την υλοποίηση διορθωτικών ενεργειών, συμμετέχει στην αξιολόγηση και ανασκόπηση του συστήματος ποιότητας. • Καταγράφει και παρακολουθεί τα παράπονα των πελατών, επεξεργάζεται και συλλέγει ερωτηματολόγια ικανοποίησης πελατών και έχει την ευθύνη για τον έλεγχο εγγράφων (τεκμηρίωση Συστήματος Ποιότητας). • Δημοσιεύει τις προκηρύξεις και διαχειρίζεται τη διαδικασίας πρόσληψης και επιλογής προσωπικού σε συνεργασία με την Κεντρική Διοίκηση του ΙΤΕ. • Συντάσσει, συντηρεί, ενημερώνει και παρακολουθεί ένα πρόγραμμα μισθοδοσίας και ένα πρόγραμμα παροχών. • Διαχειρίζεται ένα σύστημα αξιολόγησης απόδοσης του προσωπικού. • Οργανώνει και διαχειρίζεται ένα σύστημα καταγραφής προσόντων/ πτυχίων/ πιστοποιήσεων του προσωπικού και αξιολογεί τις ανάγκες για την παρακολούθηση νέων προγραμμάτων κατάρτισης ανά εργαζόμενο. • Καλλιεργεί ένα θετικό περιβάλλον εργασίας, υποστηρίζει τις ανάγκες του Κέντρου σε προσωπικό, μέσα από την ανάπτυξη, την εμπλοκή, την παροχή κινήτρων και τη διατήρηση του ανθρώπινου κεφαλαίου.
Laboratory: CeHA
Date of announcement: 25-07-2024
Closing date: 26-08-2024, 16:00
Available Results :
Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: 94ΡΩ469ΗΚΥ-ΘΨΡ)
[ICS-2236] Call for expression of interest for one (1) position, of a NEUROSCIENTIST in the Institute of Computer Science (ICS) Foundation for Research and Technology – Hellas (FORTH)
We seek one Experienced post-doctoral fellow, who will participate in the R&D activities of FORTH-ICS in the context of the H2020 project “neuronsXnets – Network Analysis in Neocortex during Passive and Active Learning”, funded under Horizon 2020 H2020-MSCA-RISE-2020. Specifically, the candidate will be responsible for setting up n vivo and in vitro imaging experiments in the visual cortex, following passive or active learning paradigms and getting trained in analyzing imaging data, and writing up the standard operating procedures for the experiments and data analysis.
Laboratory: TNL
Date of announcement: 19-07-2024
Closing date: 29-07-2024, 16:00
Available Results :
Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: 6ΡΘΟ469ΗΚΥ-ΜΞΒ)

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