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[
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
More info (english version)
apply for the position...
[
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
More info (english version)
apply for the position...
[
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
More info (english version)
apply for the position...
[
ICS-2412
] Call for expression of interest for two (2) systems software engineers, with MSc degree in Computer Science or Computer Engineering
We seek two (2) systems software engineers, with a MSc degree in Computer Science or Computer Engineering. The candidates will contribute to the R&D activities of FORTH, in the context of the EuroHPC-funded project SPACE, in either a full-time (preferred) or part-time capacity. The SPACE Centre-of-Excellence project aims to foster the reuse and sharing of algorithms and software components in the Astrophysics and Cosmology (A&C) application domain, where High Performance Computing (HPC)-based numerical simulations are outstanding instruments for scientific discovery. SPACE aims to extensively re-engineer the target codes to engage with new computational solutions suitable for exascale and post-exascale computing systems, and to adopt innovative programming paradigms, software solutions, and libraries. The SPACE consortium will pursue this goal through co-design activities that bring together scientists, code developers, HPC experts, HW manufacturers and SW developers, advancing lighthouse exascale A&C applications, codes, services and know-how promoting the use of upcoming exascale and post-exascale computing capabilities. In addition, SPACE will address the high-performance data analysis of the data torrent produced by exascale A&C simulation applications, also with machine-learning and visualization tools. The deployment of applications running on different platforms will be facilitated by federating capabilities focusing on code repositories and data sharing, and integrating European astrophysical communities around exascale computing by adopting software and data standards and interoperability protocols.
Laboratory:
CARV
Date of announcement:
04-11-2025
Closing date:
14-11-2025, 16:00
More info (english version)
apply for the position...
[
ICS-2411
] Call for expression of interest for one (1) position for student enrolled to a University MSc Program
We seek one (1) student enrolled to a University MSc Program in Computer Science or Computer Engineering or Electrical Engineering. The candidate will contribute to the R&D activities of FORTH in the context of the EC-funded project HIGHER, particularly in the implementation, 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.
Laboratory:
CARV
Date of announcement:
04-11-2025
Closing date:
14-11-2025, 16:00
More info (english version)
apply for the position...
Archive
[
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
More info (english version)
Available Results :
Results
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
More info (english version)
Available Results :
Results
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
More info (english version)
Available Results :
Results
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
More info (english version)
Available Results :
Results
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
More info (greek version)
Available Results :
Results
DIAVGEIA Search Number: (
https://diavgeia.gov.gr
with ADA: 9ΛΕΟ469ΗΚΥ-5ΛΝ)
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