Institute of Computer Science-FORTH

[ICS-2481] Πλήρωση μίας θέσης έκτακτου προσωπικού για «Διδακτορικός φοιτητής με αντικείμενο: ανάλυση ιατρικής εικόνας» μέσω σύναψης σύμβασης εργασίας ορισμένου χρόνου πλήρους απασχόλησης

Στο πλαίσιο της υλοποίησης της Πράξης/έργου με τίτλο «European Digital Innovation Hub for Smart Health: Precision Medicine and Innovative E-health Services και ακρωνύμιο «smartHEALTH», η οποία συγχρηματοδοτείται μέσω της Δράσης «Ευρωπαϊκοί Κόμβοι Ψηφιακής Καινοτομίας» του Προγράμματος «Ψηφιακή Ευρώπη 2021-2017» και του Προγράμματος «Ανταγωνιστικότητα 2021-2027» με κωδικό Πράξης ΣΑ (2024ΣΕ16370002), το Ινστιτούτο Πληροφορικής του Ιδρύματος Τεχνολογίας και Έρευνας (ΙΤΕ-ΙΠ) προτίθεται να απασχολήσει έκτακτο προσωπικό για την πλήρωση μίας θέσης για «Διδακτορικός φοιτητής με αντικείμενο: ανάλυση ιατρικής εικόνας» μέσω σύναψης σύμβασης εργασίας ορισμένου χρόνου πλήρους απασχόλησης.

Laboratory: CBML

Date of announcement: 06-03-2026

Closing date: 16-03-2026, 16:00

[ICS-2480]

The candidate will participate in the R&D work of FORTH within the AFRICAI-RI project. We are looking for a Software Engineer focusing in the development of medical imaging based AI models for the classification of Tuberculosis to be part of a multidisciplinary team, designing, developing and implementing the project’s technical platform for medical imaging data storage, and implementing a trustworthy AI toolkit for diagnostic imaging. Required qualifications: o University degree in Computer Science, Electrical and Computer Engineering or equivalent. o MSc degree with specialization in image analysis o Excellent command of English. Desired qualifications: o Knowledge and expertise with machine and deep learning in the domain of biomedicine o Knowledge and expertise with image processing and/or computer vision o Prior experience with development of biomedical software o Experience with C++, java, and/or python scientific programming and machine learning frameworks o Experience with National or European research projects, related to biomedical informatics.

Laboratory: CBML

Date of announcement: 06-03-2026

Closing date: 16-03-2026, 16:00

[ICS-2479]

The candidate will participate in the R&D work of FORTH within the ALTHEA and MAYA projects. We are looking for a Software Engineer to be part of a multidisciplinary team, designing, developing and testing the projects’ technical platforms and AI prediction models Required qualifications: o University degree in Computer Science, Electrical and Computer Engineering or equivalent o MSc degree in relative field o Good command of English. o Completed military obligations (for Greek citizen male candidates). Desired qualifications: o Experience in the development of mHealth applications and their usability evaluation o Experience and knowledge in developing data driven AI methods and tools o Experience in the analysis of multimodal biomedical data o Experience with C++, python scientific programming and machine/deep learning frameworks o Experience with National or European research projects, related to biomedical informatics.

Laboratory: CBML

Date of announcement: 06-03-2026

Closing date: 16-03-2026, 16:00

[ICS-2478]

The candidate will participate in the R&D work of FORTH within the PATH project. We are looking for a PostDoc Researcher to be part of the team investigating the involvement of AI tools in clinical workflows and designing, implementing and validating the AI deployment in healthcare. The emphasis will be on optimizing diagnostic models based on AI and preparing them for clinical evaluation. Required qualifications: o Bachelor in Computer Science, Electrical and Computer Engineering or equivalent o PhD in Computer Science, specialized in machine learning o Good knowledge of English o Completed military obligations (for Greek citizen male candidates) Desired qualifications: o Knowledge and expertise with machine and deep learning in the domain of biomedicine; o Knowledge and expertise with image processing and AI; o Prior experience with development of biomedical software; o Experience with C++, java, and/or python scientific programming and machine learning frameworks; o Experience with National or European grants related to medical imaging and AI.

Laboratory: CBML

Date of announcement: 06-03-2026

Closing date: 16-03-2026, 16:00

[ICS-2477]

We seek one experienced member for our team, a Scientist or Engineer with a University Degree (Diploma) and a strong background in control systems, reinforcement learning, and autonomous robotics. The successful candidate will conduct research and development on intelligent control and planning algorithms for heterogeneous robotic formations within the framework of the SABER project. The SABER project (Strategic Autonomous vehicles for BattlEfield Reconnaissance and logistics), funded by the European Defence Fund (EDF), aims to develop a universal, multi-agent system of collaborative flying (UAV) and ground (UGV) robots. The project focuses on "Universal Multi-Agent Retrofitting," enabling existing platforms to perform complex aerial deliveries and data gathering in hostile, GNSS-denied, and unstructured environments. SABER researches hardware and software components as add-on solutions to enhance autonomous capacities for near real-time situational awareness. The successful candidate will be involved in the implementation of learning-based control frameworks and adaptive path planning strategies for multi-agent systems. Responsibilities include the development of Reinforcement Learning (RL) models for swarm coordination, the design of optimal control loops for UGV-UAV formations, and the preparation of technical documentation and simulation results. Furthermore, the candidate will support the integration of these intelligent algorithms into robotic simulation environments (digital twins) and contribute to the validation of autonomous navigation skills in accordance with the Grant Agreement.

Laboratory: CVRL

Date of announcement: 06-03-2026

Closing date: 16-03-2026, 16:00

[ICS-2476]

Topic: Semantic Multi-Agent Mapping and Autonomous Air-Ground Coordination in GNSS-Denied Battlefield Environments We seek one experienced member for our team, a Scientist or Engineer with a PhD and a strong background in autonomous robotics and semantic perception. The successful candidate will conduct research and development on intelligent algorithms for heterogeneous robotic formations within the framework of the SABER project. The SABER project (Strategic Autonomous vehicles for BattlEfield Reconnaissance and logistics), funded by the European Defence Fund (EDF), aims to develop a universal, multi-agent system of collaborative flying (UAV) and ground (UGV) robots. The project focuses on "Universal Multi-Agent Retrofitting," enabling existing platforms to perform complex aerial deliveries and data gathering in hostile, GNSS-denied, and unstructured environments. SABER researches hardware and software components as add-on solutions to enhance autonomous capacities for near real-time situational awareness. The successful candidate will be involved in the implementation of semantic mapping and localization algorithms, as well as the development of coordination strategies for heterogeneous robotic agents. Responsibilities include the design of intelligent perception modules for unstructured terrains, the development of relative state estimation methods for multi-agent formations, and the preparation of technical documentation and scientific results. Furthermore, the candidate will support the technical requirements elicitation and contribute to the validation of the project’s autonomous skill libraries in accordance with the Grant Agreement.

Laboratory: CVRL

Date of announcement: 06-03-2026

Closing date: 16-03-2026, 16:00

[ICS-2474]

The candidate will participate in the R&D activities 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. In particular, the successful candidate will support FORTH in the design and implementation of the healthcare use case, with a focus on demonstrating Privacy-Preserving Biomedical Research and eHealth Services within the project. This includes enabling the acquisition and processing of sensitive health data distributed across the healthcare ecosystem to encompass diagnostic and healthcare-related information, as well as personally identifiable information, with the aim of deriving meaningful insights to support modern care services. The LICORICE solution will enable the seamless adoption of next-generation Self-Sovereign Identity (SSI) and Privacy-Preserving Data Sharing toolsets for secure identity management and verifiable federated data sharing and computation. These capabilities will be integrated into 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 strong commercial adoption potential.

Laboratory: CBML

Date of announcement: 26-02-2026

Closing date: 09-03-2026, 16:00

[ICS-2473] Πλήρωση μίας θέσης έκτακτου προσωπικού για «Μηχανικός Λογισμικού για ανάπτυξη ψηφιακού εργαλείου με χρήση βαθιάς μάθησης»

Στο πλαίσιο της υλοποίησης της Πράξης/έργου με τίτλο «European Digital Innovation Hub for Smart Health: Precision Medicine and Innovative E-health Services και ακρωνύμιο «smartHEALTH», η οποία συγχρηματοδοτείται μέσω της Δράσης «Ευρωπαϊκοί Κόμβοι Ψηφιακής Καινοτομίας» του Προγράμματος «Ψηφιακή Ευρώπη 2021-2017» και του Προγράμματος «Ανταγωνιστικότητα 2021-2027» με κωδικό Πράξης ΣΑ (2024ΣΕ16370002), το Ινστιτούτο Πληροφορικής του Ιδρύματος Τεχνολογίας και Έρευνας (ΙΤΕ-ΙΠ) προτίθεται να απασχολήσει έκτακτο προσωπικό για την πλήρωση μίας θέσης για «Μηχανικός Λογισμικού για ανάπτυξη ψηφιακού εργαλείου με χρήση βαθιάς μάθησης» μέσω σύναψης σύμβασης εργασίας ορισμένου χρόνου πλήρης απασχόλησης.

Laboratory: CBML

Date of announcement: 26-02-2026

Closing date: 09-03-2026, 16:00

[ICS-2472]

The candidate will participate in the R&D work of FORTH within the PATH project. We are looking for a PostDoc Researcher to be part of the data management team, harmonizing and integrating data for the improvement and retraining of existing AI models. Required qualifications: o Bachelor/University degree in Computer Science, Electrical and Computer Engineering or equivalent o PhD in Information Systems and Semantic Technologies, Computer Engineering or equivalent o Good knowledge of English o Completed military obligations (for Greek citizen male candidates)

Laboratory: CBML

Date of announcement: 27-02-2026

Closing date: 09-03-2026, 16:00

[ICS-2468]

Development of a common data model for the integration of the diverse types of data and metadata (climate and environmental data, materials properties, images, etc.) collected and/or generated during the project. This requires continuous communication with domain experts for understanding the data and then designing a core data model that integrates all data elements under a common schema (an ontology). An important aspect is how to support the collection and organisation of the original datasets in a form that allows their consolidation and then their ontology-based integration based on the designed data model. This requires the design and development of a user-friendly and efficient workflow, accompanied by software tools, which on the one hand does not add an overhead to the humanities researchers and, on the other hand, supports them in better (more efficient) working with their data. The integrated data should be made available to both end users (researchers) and software systems (e.g. AI models) through dedicated user interfaces and APIs. Expected results include (i) a workflow model for overall management of architectural heritage conservation data (data gathering, consolidation, integration, access, provision), (ii) a CIDOC CRM compatible ontology for the integration of architectural heritage conservation data, (iii) software tools and systems for data management, iv) APIs and services for accessing the integrated data.

Laboratory: ISL

Date of announcement: 12-02-2026

Closing date: 01-04-2026, 16:00

Archive

[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

Available Results :

Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: 9Ψ02469ΗΚΥ-ΓΞ9)

[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

Available Results :

Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: 62ΡΣ469ΗΚΥ-ΧΥ1)

[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

Available Results :

Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: 9ΩΨΓ469ΗΚΥ-Ν2Γ)

[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

Available Results :

Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: ΨΧΠΝ469ΗΚΥ-ΕΣ4)

[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