Jobs

[ICS-2415] Call for expression of interest for two (2) positions for R&D Engineers with a degree in Computer Science or Computer Engineering
We seek two (2) recent graduate Research & Development Engineers with a degree in Computer Science or Computer Engineering for our team. The candidates will contribute to the R&D activities of FORTH in the context of the EC-funded project HIGHER, particularly in (i) development of low-level control firmware and system software, and (ii) validation and evaluation of use cases. The HIGHER project follows the Open Compute Project (OCP) Server family of standards to build processor modules for computation and acceleration, alongside a system security/control module. The project aims to build modular rack-scale systems, running with fully-featured operating systems and runtimes, and incorporating reusable standards-based infrastructure that encompasses hardware, low-level firmware, and systems software, while ensuring trustworthy functionality for managing, securing, and controlling servers. The project's open-source hardware and software outcomes will enhance European Digital Autonomy and facilitate wide adoption. Furthermore, the project will assemble representative software stacks supporting a range of use cases, including accelerated data processing and analysis for converged Cloud and HPC platforms, Infrastructure-as-a-Service with standardized management and monitoring, Platform-as-a-Service facilitating large-scale data processing for ML inference and data analytics, and memory pool management at the server rack level, with access control safeguards aligned with maturing CXL standards. Requirements • Diploma in Computer Science or Computer Engineering • Physical presence at FORTH, Heraklion, Crete for the duration of the position • Experience in system programming in Linux using the C language • Experience in Linux-based systems development and evaluation, with development boards and emulators • Fluent knowledge of English • Names of at least three professional references • Willingness and ability to work cooperatively within a team, to learn, and to adapt to the projects
Laboratory: CARV
Date of announcement: 12-11-2025
Closing date: 24-11-2025, 16:00
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[ICS-2414] Call for expression of interest for one (1) position of Researcher with a Ph.D. degree in Computer Science or a related Engineering field
We seek one researcher with a Ph.D. in Computer Science or a related Engineering field. The candidate will participate in the R&D activities of FORTH-ICS in the context of the H2020 project “MAGICIAN - iMmersive leArninG for ImperfeCtion detectIon and repAir through human-robot interactioN”, funded under Horizon 2020, HORIZON-CL4-2022-DIGITAL-EMERGING-02, and will work on Computer Vision related aspects. A common trait of many important markets is the increasing attention of consumers to the aesthetic quality of the products. Even products like mid-segment cars are required to be defect-free in all the areas falling under the direct sight of the customer. These expectations translate into high-quality standards in the production process, which are currently met by requiring an important physical effort to the workers in unsafe environments. The MAGICIAN project will take on the challenge producing a modular automation solution in which robots are used to detect and rework production defects before the last production phases commence and the aesthetics of the product is finalized. The project will produce two robotic solutions, one for defect analysis (the SR) and one for the defects’ rework (the CR). The SR and the CR can be used separately, with the humans remaining in charge of some of the activities, or in combination, with the CR operating on the defects identified by the SR. The SR can also be used in connection with the welding robotic station in order to adapt the process parameters. The robots will use Artificial Intelligence modules to detect and discriminate the defects from multi-modal data (the SR) or to decide the best policy to use for defect rework (the CR). In both cases, the decision logic of the modules will be trained using machine learning algorithms. The training data set will be acquired with the help of workers, who will operate on semiworked products within a controlled environment. The SR and the CR will rely on the software services of a common robotic platform. The solution will be developed adopting a human-centered approach, which will allow us to evaluate the impact of the innovation on the production processes and remove the most important asperities along this path. The effectiveness of the solution will be tested on a usecase, and its generality proven by recruiting additional contributors and use-cases through a FSTP scheme.
Laboratory: CVRL
Date of announcement: 12-11-2025
Closing date: 24-11-2025, 16:00
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[ICS-2413] Call for expression of interest for one (1) position of Researcher with a Ph.D. degree in Computer Science or a related Engineering field
We seek one researcher with a Ph.D. in Computer Science or a related Engineering field. The candidate will participate in the R&D activities of FORTH-ICS in the context of the H2020 project “MAGICIAN - iMmersive leArninG for ImperfeCtion detectIon and repAir through human-robot interactioN”, funded under Horizon 2020, HORIZON-CL4-2022-DIGITAL-EMERGING-02, and will work on Computer Vision related aspects.A common trait of many important markets is the increasing attention of consumers to the aesthetic quality of the products. Even products like mid-segment cars are required to be defect-free in all the areas falling under the direct sight of the customer. These expectations translate into high-quality standards in the production process, which are currently met by requiring an important physical effort to the workers in unsafe environments. The MAGICIAN project will take on the challenge producing a modular automation solution in which robots are used to detect and rework production defects before the last production phases commence and the aesthetics of the product is finalized. The project will produce two robotic solutions, one for defect analysis (the SR) and one for the defects’ rework (the CR). The SR and the CR can be used separately, with the humans remaining in charge of some of the activities, or in combination, with the CR operating on the defects identified by the SR. The SR can also be used in connection with the welding robotic station in order to adapt the process parameters. The robots will use Artificial Intelligence modules to detect and discriminate the defects from multi-modal data (the SR) or to decide the best policy to use for defect rework (the CR). In both cases, the decision logic of the modules will be trained using machine learning algorithms. The training data set will be acquired with the help of workers, who will operate on semiworked products within a controlled environment. The SR and the CR will rely on the software services of a common robotic platform. The solution will be developed adopting a human-centered approach, which will allow us to evaluate the impact of the innovation on the production processes and remove the most important asperities along this path. The effectiveness of the solution will be tested on a usecase, and its generality proven by recruiting additional contributors and use-cases through a FSTP scheme.
Laboratory: CVRL
Date of announcement: 12-11-2025
Closing date: 24-11-2025, 16:00
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[ICS-1884] Call for expression of interest for a position of Population Genetics expert PhD Student in the Institute of Computer Science (ICS) Foundation for Research and Technology – Hellas (FORTH)
We seek a PhD Student, in the context of NEOMATRIX project, as FORTH is responsible for research and innovation activities that include computational analysis of ancient and modern DNA data, inference of population history and natural selection.
Laboratory: CBML
Date of announcement: 27-05-2022
Closing date: 14-06-2022, 16:00
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DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: 61ΣΣ469ΗΚΥ-3ΡΥ)
[ICS-1883] Call for expression of interest for one (1) full‐time (ESR) PhD Student in the Institute of Computer Science (ICS) Foundation for Research and Technology – Hellas (FORTH)
The position is a full‐time PhD student position and is funded by the European Commission, under the H2020 Marie Skłodowska‐Curie Doctoral Network program RAICAM. The central scientific goal of RAICAM is to conduct research into the underlying technologies in Robotics and AI that will unlock the capability for a fleet of robots to conduct coordinated sampling campaigns in industrial facilities with varying levels of autonomy. The project will investigate how to undertake robotic sampling using a multi‐disciplinary approach that will fuse fundamental research with systems‐ level engineering. The RAICAM Doctoral Network will train the next generation of robotic systems engineers who will develop creative and innovative multi‐disciplinary skills, enhancing their inter‐ sectoral mobility.
Laboratory: CVRL
Date of announcement: 26-05-2022
Closing date: 31-08-2022, 16:00
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Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: Ω3ΞΠ469ΗΚΥ-260)
[ICS-1882] Call for expression of interest for one (1) position of Computer Scientist or Engineer in the Institute of Computer Science (ICS) Foundation for Research and Technology – Hellas (FORTH)
We seek one Computer Scientist or Engineer (BSc or Msc 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-MSC-NS-2020 project “USSPs – Development of Unmanned Semi-fixed Sea Platforms” (EDIDP-MSC-NS-2020-117-USSPS), funded under EDIDP 2020-MSC-NS-2020, and will work on Machine Learning and Sensory data processing related aspects.
Director Decision of extension till 30/06/2022 (.pdf)
Director Decision of extension till 31/08/2022 (.pdf)
Laboratory: CVRL
Date of announcement: 19-05-2022
Closing date: 31-08-2022, 16:00
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DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: 90ΝΙ469ΗΚΥ-ΨΙΥ)
[ICS-1881] Call for expression of interest for one (1) position of Postdoc ‐ Experienced Researcher in the Institute of Computer Science (ICS) Foundation for Research and Technology – Hellas (FORTH) for the USSPs EDIDP 2020 project
We seek one Postdoc ‐ Experienced researcher 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‐MSC‐NS‐ 2020 project “USSPs – Development of Unmanned Semi‐fixed Sea Platforms” (EDIDP‐MSC‐NS‐2020‐ 117‐USSPS), funded under EDIDP 2020‐MSC‐NS‐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.
Director Decision of extension till 30/06/2022 (.pdf)
Director Decision of extension till 31/08/2022 (.pdf)
Laboratory: CVRL
Date of announcement: 19-05-2022
Closing date: 31-08-2022, 16:00
More info (english version)
Available Results :
Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: 6Ε9Σ469ΗΚΥ-Ω7Ζ)
[ICS-1880] Call for expression of interest for one (1) position, for one (1) MSc Student 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 BNL project. We seek one MSc student to participate in the research activities of FORTH-ICS in the context of the H2020 project “BNL – Brain Networks in Learning”, funded under Horizon 2020 H2020-MSCA-IF-2019. The candidate will develop statistical models of connectivity between cortical brain areas using Dynamic Bayesian Networks applied on data from fMRI experiments acquired from human subjects performing a verbal learning task.
Laboratory: CBML
Date of announcement: 19-05-2022
Closing date: 03-06-2022, 16:00
More info (english version)
Available Results :
Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: ΡΛΠΥ469ΗΚΥ-ΛΞ7)

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