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-2365] Call for expression of interest for one (1) position of a 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 for our team. The candidate should have proven experience with RISC-V or ARM architectures with a background in European Research Projects. The candidates will participate in the R&D activities of FORTH-ICS in the context of the EuroHPC JU project Plasma-PEPSC. Plasma science has been at the forefront of HPC for several decades, driving and at the same time benefiting greatly from innovative hardware and software developments. The overall goal of Plasma-PEPSC is to take this development to the next level, enabling scientific breakthroughs in plasma science Grand Challenges through exascale computing and extreme-scale data analytics. Specifically, the project aims to enable unprecedented simulations on current pre-exascale and future exascale platforms in Europe to control plasma-material interfaces, optimize magnetically confined fusion plasmas, design next-generation plasma accelerators and predict space plasma dynamics in the Earth’s magnetosphere. These goals will be achieved by maximizing the parallel performance and efficiency of four European flagship plasma codes with a large user base: BIT, GENE, PIConGPU, and Vlasiator. The project will build on algorithmic advances (regarding load balancing, resilience, and data compression) as well as on programming model and library developments (MPI, accelerator and data movement APIs and runtimes, in-situ data analysis). Plasma-PEPSC brings together an exceptional, interdisciplinary group of highly-recognized leading scientists from academia, research centres, and HPC centres, with decades of experience in algorithmic and method developments, extreme-scale plasma simulations, and application optimizations with high involvement in strategic EuroHPC projects and initiatives.
Laboratory: CARV
Date of announcement: 22-05-2025
Closing date: 02-06-2025, 16:00
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DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: 6Θ1Γ469ΗΚΥ-07Κ)
[ICS-2364] Call for expression of interest for one (1) position for R&D Engineer with a degree in Computer Science or Computer Engineering
We seek one (1) recent graduate Engineer with a degree in Computer Science or Computer for our team. The candidates will participate in the R&D activities of FORTH in the context of the EC-funded project DAFAB. DAFAB addresses three primary challenges, in order to leverage the full potential of Copernicus' information. Firstly, the timely analysis of EO data that is critical for decision-makers to make informed decisions is addressed through novel hardware techniques dedicated to AI and federated computing techniques. Secondly, the massive amounts of Copernicus data make it challenging to identify the most relevant datasets for specific purposes, therefore DAFAB invests in public metadata catalogs to enable searching Copernicus images by features and relationships. Finally, the sustainability of analysis by-products is critical for efficient data management. To address this challenge, DAFAB invests in cloud-computing techniques and public metadata catalogs, providing a unified solution for searching both raw Copernicus and by-products by features and relationships. By addressing these challenges, DAFAB aims to unlock the full potential of Copernicus data and drive growth in the European EO data market.
Laboratory: CARV
Date of announcement: 20-05-2025
Closing date: 30-05-2025, 16:00
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DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: 6ΦΦΣ469ΗΚΥ-Μ32)
[ICS-2363] Call for expression of interest for one (1) position of a Post-Doctoral Researcher
We seek one (1) a Post-Doctoral Researcher for our team. 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.
Laboratory: CARV
Date of announcement: 20-05-2025
Closing date: 30-05-2025, 16:00
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DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: 9ΧΙΚ469ΗΚΥ-3Ν5)
[ICS-2362] Call for expression of interest for one (1) position for R&D Engineer with a degree in Computer Science or Computer Engineering
We seek one (1) recent graduate Engineer with a degree in Computer Science or Computer for our team. The candidate will participate in the R&D activities of FORTH in the context of the EC-funded project RISER. The RISER project will develop and validate open-source designs for standardized form-factor system platforms suitable for supporting cloud services, featuring RISC-V processor chips from contemporary European initiatives. Specifically, RISER will build two cloud-focused platforms: (1) An accelerator platform, in the form of a PCIe acceleration board designed for integration with HPC servers; (2) A microserver platform consisting of RISC-V chips coupled with high-speed storage and networking. The open-source system board designs of RISER will be accompanied by open-source low-level firmware and systems software, and a representative Linux-based software stack to support cloud services, facilitating uptake and enhancing the commercialization path of project results. Three use cases will be developed to evaluate and demonstrate the capabilities of RISER platforms: a) Acceleration of compute workloads; b) Networked object and key-value storage; c) Containerized execution as part of a provider-managed IaaS environment. The RISER consortium consists of seven partners, from academia, research centers and industry.
Laboratory: CARV
Date of announcement: 19-05-2025
Closing date: 29-05-2025, 16:00
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DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: 9ΩΒΘ469ΗΚΥ-ΔΤΝ)
[ICS-2361] Call for expression of interest for a position of a part-time Software Engineer, expert in medical platform development in the Institute of Computer Science (ICS-FORTH)
The candidate will participate in the R&D work of FORTH within the Althea project. We are looking for a part-time Software Engineer, to be part of the team designing, implementing and testing a SW platform supporting synchronous and asynchronous telepsychology for the support of cancer patients.
Laboratory: CBML
Date of announcement: 25-04-2025
Closing date: 05-05-2025, 16:00
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Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: 9ΛΕΟ469ΗΚΥ-5ΛΝ)

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