Θέσεις Εργασίας

[ICS-2418] Call for expression of interest for a position of a part-time 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 SafePolyMed project. We are looking for a PostDoc Researcher for the development of models for Polymedication. He/she will be part of the team designing, implementing, testing and validating ML models and developing methods for the assessment of their trustworthiness, and also contributing to the development of the data infrastructure of the project.
Laboratory: CBML
Date of announcement: 17-11-2025
Closing date: 27-11-2025, 16:00
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[ICS-2417] Call for expression of interest for a position of a PostDoc Researcher for the development of models for Polymedication in the Institute of Computer Science (ICS)-(FORTH)
The candidate will participate in the R&D work of FORTH within the SafePolyMed project. We are looking for a PostDoc Researcher for the development of models for Polymedication. He/she will be part of the team designing, implementing and testing a variety of machine learning algorithms and deep learning techniques based on multimodal data using state-of-the-art tools for bioinformatics and biomedical data analysis and also contributing to the development of the data infrastructure of the project.
Laboratory: CBML
Date of announcement: 17-11-2025
Closing date: 27-11-2025, 16:00
More info (english version)
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[ICS-2416] Call for expression of interest for a position of PostDoc Researcher,as Data scientist specialized in interpretable, privacy-preserving, federated AI in the Institute of Computer Science (ICS)- (FORTH)
The candidate will participate in the R&D work of FORTH within the LICORICE project. We are seeking an experienced Researcher to join our team in designing and delivering a secure, user-centric digital identity and data exchange solution for healthcare ensuring flexibility and scalability. The developed solution will enable seamless adaptation of next-generation Self-Sovereign Identity (SSI) and Privacy- 2 Preserving Data Sharing toolsets for secure identity management and verifiable federated data sharing and computing, integrated within real-world pilot environments aligned with the EU Digital Identity (EUDI) Wallet specifications, data space blueprints, and federated computation frameworks, ensuring high scalability, usability, and commercial adoption potential.
Laboratory: CBML
Date of announcement: 17-11-2025
Closing date: 27-11-2025, 16:00
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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
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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
More info (english version)
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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
More info (english version)
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[ICS-1502] Μία (1) θέση Aρχαιολόγου ‐ μουσειολόγου με εξειδίκευση στην πληροφορική
 Μελέτη απαιτήσεων και σχεδιασμός ψηφιακής υποδομής  Υλοποίηση ψηφιακής υποδομής και τροφοδότηση με ενδεικτικά δεδομένα  Χρήση της ψηφιακής υποδομής και εκπαίδευση χρηστών
Laboratory: ISL
Date of announcement: 19-02-2020
Closing date: 05-03-2020, 16:00
More info (greek version)
Available Results :
Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: 97ΑΟ469ΗΚΥ-ΩΣΑ)
[ICS-1501] Μία (1) θέση Διδακτορικού φοιτητή, με γνώσεις τεχνολογιών σημασιολογικής επισημείωσης σε κείμενα, τεχνολογιών αναπαράστασης και συλλογιστικής με έμφαση σε θέματα ολοκλήρωσης και τεχνολογιών επεξεργασίας φυσικής γλώσσας
 Ερευνητική μελέτη, ανάπτυξη και αξιολόγηση ερευνητικών πρωτοτύπων για την σημασιολογική επισημείωση κειμένων  Ερευνητική μελέτη, ανάπτυξη και αξιολόγηση συστημάτων ολοκλήρωσης δεδομένων  Ερευνητική μελέτη, ανάπτυξη και αξιολόγηση συστημάτων επεξεργασίας φυσικής γλώσσας για τον εντοπισμό και αναπαράσταση επιχειρημάτων και συζητήσεων σε φυσική γλώσσα  Ανάπτυξη επιδείξιμων συστημάτων εφαρμογής των παραπάνω μεθοδολογιών  Συμμετοχή στην αξιολόγηση των παραπάνω συστημάτων σε πραγματικό περιβάλλον
Laboratory: ISL
Date of announcement: 19-02-2020
Closing date: 05-03-2020, 16:00
More info (greek version)
Available Results :
Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: 6Π34469ΗΚΥ-ΤΧ6)
[ICS-1500] Three (3) Post-Doctoral “Stavros Niarchos Foundation – FORTH Fellowships” within the project ARCHERS
The Institute of Computer Science (ICS) of the Foundation for research and Technology Hellas (FORTH), in the framework of the project ARCHERS, aimed at reducing or even reversing the brain drain, which is funded by an exclusive donation of the Stavros Niarchos Foundation, is seeking to recruit three (3) postdoctoral fellows. These Stavros Niarchos Foundation – FORTH fellows are expected to perform high quality research within one of the research areas in which ICS-FORTH excels both on the national and the international level.
Laboratory: HCI
Date of announcement: 18-02-2020
Closing date: 19-03-2020, 16:00
More info (english version)
Available Results :
Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: ΨΦ92469ΗΚΥ-7ΡΜ)
[ICS-1499] One (1) position of student enrolled in a University Graduate Program in Computer Science, Electrical Engineering or related fields
We seek a student enrolled to a University Graduate Program for our team with a strong background in machine learning and/or statistical analysis. The candidate will participate in our exciting new computational neuroscience project entitled “Neuronal Networks in Epilepsy−Deciphering the Role of Ac[vity Paerns in Focal Cor[cal Seizures” funded by the Fondation Santé. The main focus of the project is to decipher how abnormal activity patterns emerge across different cortical-neuron types, what EEG-patterns they correspond with, and how they evolve into full-fledged seizure events. For that, we apply various machine-learning and statistical analysis algorithms to identify what abnormal interactions between pyramidal neurons and different types of interneurons allow hyper-synchrony (seizure) to emerge. Researchers from Harvard Medical School participate actively in this project by providing datasets and helping in the biological interpretation of the results. The candidate will participate in various data analysis and dissemination activities in the context of the project. Prior experience in machine learning, data science, and statistical analysis is an important aspect for the project. Experience in computational neuroscience is a plus but not a prerequisite.
Laboratory: TNL
Date of announcement: 17-02-2020
Closing date: 03-03-2020, 16:00
More info (english version)
Available Results :
Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: 9ΨΔΩ469ΗΚΥ-Α2Ψ)
[ICS-1498] One (1) position for a Software Engineer as personal health record expert
The candidate will participate in the R&D work of FORTH within the MyPal project. We are looking for an experienced software engineer to design and implement systems enabling efficient and effective self-management mobile applications for cancer patient and the respective platform for data mining of speech and text with the end goal to maximize information and enhance knowledge generation through a conversational agent.
Laboratory: CBML
Date of announcement: 17-02-2020
Closing date: 03-03-2020, 16:00
More info (english version)
Available Results :
Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: 6ΖΘΒ469ΗΚΥ-ΨΛΖ)

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