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
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[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
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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-2106] Call for expression of interest for one (1) position of Experienced Researcher in the Institute of Computer Science (ICS) Foundation for Research and Technology – Hellas (FORTH)
We seek one experienced researcher, PhD holder, in Machine Learning with background in RTD projects. The candidate will participate in the R&D activities of FORTH-ICS in the context of EDIDP 2020 project “USSPs – Development of Unmanned Semi-fixed Sea Platforms” (EDIDP-MSC-NS-2020-117-USSPS), funded under EDIDP 2020, and will work on Machine Learning and Sensory data processing related aspects. The project “Development of Unmanned Semi-fixed Sea Platforms for Maritime Surveillance” (USSPS) will develop the backbone of an advanced C5ISTAR federated system of systems. USSPS will integrate legacy assets and systems with innovative solutions, aiming to improve maritime surveillance capabilities, reduce high value asset utilization and mission related costs, and provide cross-domain persistent and permanent maritime situational awareness. The project will develop an unmanned highly autonomous, energy efficient and miniaturized oil rig technology-based platform capable to integrate a wide range of air, surface and underwater sensors. The platforms will enable deployment in any geographical region, including all types of sea-beds and deep-sea regions, and operation under adverse environmental conditions. The candidate will contribute in tasks regarding the environmental perception and situational awareness of unmanned vehicles. Required qualifications: • Ph.D degree in Computer Science or related Engineering field • Demonstrated experience with ICT R&D projects • Research experience – Publications in the fields of (a) machine learning with emphasis on deep learning techniques, and/or (b) Sensory data processing (Computer Vision, Signal Processing, Pattern Recognition, etc) • Programming languages: C, C++, python • Experience with development tools: opencv, ROS, scipy, Matlab or equivalent • Willingness and ability to work in a team, to learn, and to take initiatives • Communication skills • EU citizenship Desired qualifications: • Experience with Frugal Learning methods • Experience with Sensory (Visual) data processing • Hands-on experience with deep neural networks • Two (2) reference letters Application Submission Interested candidates can submit their applications via http://www.ics.forth.gr/jobs/en/ using the link “Apply for the position” under the announcement. Applications must include: • Detailed CV, including qualifications and interests in the above areas, and proof thereof; • Scanned copies of academic titles; • Detailed presentation of prior work, studies and/or publications, references etc. demonstrating knowledge of desired skills (e.g. experience on specific programming languages and hardware platforms). The candidates
Director Decision of extension
Laboratory: CVRL
Date of announcement: 23-10-2023
Closing date: 17-11-2023, 16:00
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DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: ΡΥΑΚ469ΗΚΥ-Υ5Ε)
[ICS-2105] Call for expression of interest for two (2) positions of Computer Scientist or Engineer in the Institute of Computer Science (ICS) Foundation for Research and Technology – Hellas (FORTH)
We seek two Computer Scientists or Engineers (BSc or Msc holders) in Machine Learning with background in RTD projects. The candidates will participate in the R&D activities of FORTH-ICS in the context of HORIZON 2021 project “PERCEIVE – Perceptive Enhanced Realities of Colored collEctions through AI and Virtual Experiences” (HORIZON-CL2-2021-HERITAGE-01-04-101061157-PERCEIVE), funded under HORIZON-CL2-2021-HERITAGE-01, and will work on Machine Learning and Sensory data processing related aspects. PERCEIVE aims at improving the perception, preservation, curation, exhibition, understanding and access of colored Cultural Heritage collections. It aims at developing a reliable way to Study, Reconstruct, Render, Remap, Exhibit and Re-appropriate them. The candidates will contribute in tasks regarding data augmentation, as well as modeling and training of NN for color restoration.
Director Decision of extension
Laboratory: CVRL
Date of announcement: 23-10-2023
Closing date: 17-11-2023, 16:00
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DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: 9ΛΝΛ469ΗΚΥ-ΕΑΜ)
[ICS-2104] Call for expression of interest for two (2) position of Computer Scientists or Engineers in the Institute of Computer Science (ICS) Foundation for Research and Technology – Hellas (FORTH)
We seek two Computer Scientists or Engineers (BSc or Msc holders) in Machine Learning with background in RTD projects. The candidates will participate in the R&D activities of FORTH-ICS in the context of EDF-2021-DIGIT-R-2 project “KOIOS – Knowledge Extraction, Machine Learning and other AI approaches for secure, robust, frugal and explainable solutions in Defence Applications” (EDF-2021-DIGIT-R-2-101103770-KOIOS), funded under EDF-2021-DIGIT-R-2, and will work on Machine Learning and Sensory data processing related aspects. The main objective of our project, KOIOS, is to develop new AI-based methods that are trustworthy (under human control and explainable), robust (resilient to attacks) and frugal in the use of resources (data, computing capabilities, energy,…) addressing tasks in a more efficient manner than the current state-of-the-art ML/DL methods while maintaining similar performance, and improving resilience (for adversarial attacks), consistent behaviour and limiting the cognitive and technical efforts when adapting to new data or dynamic contexts. The candidates will contribute in tasks regarding the ML capabilities of advanced autonomous vehicles.
Laboratory: CVRL
Date of announcement: 23-10-2023
Closing date: 02-11-2023, 16:00
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DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: ΨΕΤ1469ΗΚΥ-Σ1Ω)
[ICS-2103] Call for expression of interest for one (1) position of student enrolled to University MSc Programme, in the Institute of Computer Science (ICS) Foundation for Research and Technology – Hellas (FORTH)
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 EC-funded 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: 17-10-2023
Closing date: 27-10-2023, 16:00
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DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: ΡΓΕ5469ΗΚΥ-Ζ7Β)
[ICS-2102] 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 EC-funded project AERO. To ensure the successful integration of the EU processor into the cloud computing ecosystem and strengthen even more EU data sovereignty, it is necessary to develop the software support at the same pace with the hardware development. The harmonic relationship of the developed software and hardware is of paramount importance in order to establish an EU cloud platform able to compete with the mainstream solutions which are currently delivered by US companies. AERO aims to upbring and optimize an open-source software ecosystem that encompasses a wide range of software components ranging from operating systems to compilers, runtimes, system software and auxiliary software deployment services for cloud computing. The AERO software stack combines the aforementioned software components with novel software and hardware interfaces as a means to seamlessly exploit the heterogeneity aspects of the EU processor with regards to high performance, energy efficiency, and security. The ultimate objective of AERO is to facilitate easy migration of existing cloud customers to a cloud infrastructure that harnesses the capabilities of the EU processor. To showcase early adoption and the potential business value, the developed software and hardware technologies will be piloted by use cases representative of important EU industrial domains, such as automotive and space exploration.
Laboratory: CARV
Date of announcement: 17-10-2023
Closing date: 27-10-2023, 16:00
More info (english version)
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DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: ΡΚΜ2469ΗΚΥ-1ΡΦ)

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