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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Archive

[ICS-2024] Call for expression of interest for one (1) position, for a Research Associate in the area of next genera-tion network technologies in the Institute of Computer Science (ICS)- (FORTH)
We seek a highly motivated and experienced member to join our team with a background in the area of next generation network technologies and 5G. The selected candidate will participate in the Research and development activities of ICS-FORTH in the context of the Horizon Europe project “NextGEM: Next Generation Integrated Sensing and Analytical System for Monitoring and Assessing Radiofrequency Electromagnetic Field Exposure and Health”, funded under Horizon Europe, HORIZON-HLTH-2021-ENVHLTH-02-01-Exposure to electromagnetic fields (EMF) and health.
Laboratory: TNL
Date of announcement: 10-03-2023
Closing date: 03-04-2023, 16:00
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DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: 6ΜΖΝ469ΗΚΥ-Γ9Π)
[ICS-2023] Call for expression of interest for one (1) position, for a Research Associate for the development of NextGEM Innovation and Knowledge Web Platform in the Institute of Computer Science (ICS)- (FORTH)
We seek a highly motivated and experienced member to join our team with a background in the areas of website and visualization platform development. The selected candidate will participate in the Research and development activities of ICS-FORTH in the context of the Horizon Europe project “NextGEM: Next Generation Integrated Sensing and Analytical System for Monitoring and Assessing Radiofrequency Electromagnetic Field Exposure and Health”, funded under Horizon Europe, HORIZON-HLTH-2021-ENVHLTH-02-01-Exposure to electromagnetic fields (EMF) and health.
Laboratory: TNL
Date of announcement: 10-03-2023
Closing date: 03-04-2023, 16:00
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DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: 63Λ8469ΗΚΥ-ΓΗ1)
[ICS-2022] Call for expression of interest for a position of a Software Engineer for anonymization for multi-parametric mpMRI DICOM images 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 ProCAncer-I project. We are looking for a Software engineer to be part of the team designing, implementing and testing a number of applications managing personal information of patients regarding Prostate Cancer diagnosis and prognosis, by utilizing big data, data analytics. The candidate will design and implement software solutions for managing heterogeneous and multi-scale personal health data including anonymization tools. The successful candidate will also be involved in activities related to the FAIRification of the Health Data (including imaging data) and of the models developed.
Laboratory: CBML
Date of announcement: 03-03-2023
Closing date: 13-03-2023, 16:00
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DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: Ρ4Ρ2469ΗΚΥ-ΞΜ3)
[ICS-2021] Call for expression of interest for a position of a Software Engineer for machine learning techniques 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 ProCAncer‐I project. We are looking for a Collaborating researcher to be part of the team designing, implementing and testing a number of applications managing personal information of patients regarding Prostate Cancer diagnosis and prognosis, by utilizing big data, data analytics and machine‐learning models. The candidate will design and implement diagnostic machine learning tools based on heterogeneous and multi‐scale personal health data including medical images.
Laboratory: CBML
Date of announcement: 03-03-2023
Closing date: 13-03-2023, 16:00
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DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: 9ΣΡ0469ΗΚΥ-3ΣΥ)
[ICS-2020] Call for expression of interest for a position of Software Engineer for personal health applications 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 “CardioCare” project. We are looking for a software engineer who will work in a multidisciplinary team to design and implement software tools for integrating sensor data, prediction tools and healthcare data (both imaging and non-imaging), enabling a number of algorithmic for predicting cardiotoxicity.
Laboratory: CBML
Date of announcement: 03-03-2023
Closing date: 13-03-2023, 16:00
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DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: ΡΦ7Φ469ΗΚΥ-Β5Λ)

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