Jobs

[ICS-2482] Πλήρωση μίας θέσης έκτακτου προσωπικού για «Μηχανικός Λογισμικού part-time με αντικείμενο: Ανάπτυξη νέου ψηφιακού εργαλείου» μέσω σύναψης σύμβασης εργασίας ορισμένου χρόνου μερικής 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 «Μηχανικός Λογισμικού part-time με αντικείμενο: Ανάπτυξη νέου ψηφιακού εργαλείου» μέσω σύναψης σύμβασης εργασίας ορισμένου χρόνου μερικής απασχόλησης.
Laboratory: CBML
Date of announcement: 06-03-2026
Closing date: 16-03-2026, 16:00
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[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
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[ICS-2480] Call for expression of interest for a position of a Software Engineer for the development of medical imaging based ΑΙ models
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
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[ICS-2479] Call for expression of interest for a position of a Software Engineer for the development of mHealth applications and security solutions for biomedical infrastructures
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
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[ICS-2478] Call for expression of interest for a position of a PostDoc Researcher, expert in ΑΙ and deep learning for cancer models
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
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[ICS-2477] Call for expression of interest for one (1) position, for one experienced Scientist or Engineer in Development of Reinforcement Learning Frameworks for Optimal Multi-Agent Control and Adaptive Path Planning in Heterogeneous UGV-UAV Formations.
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
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[ICS-2476] Call for expression of interest for one (1) position, for one PhD holder Scientist or Engineer
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
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[ICS-2468] Call for expression of interest for one (1) full-time position, for one (1) MSc holder in Computer Science in ICS-FORTH, with intent to enroll in a Phd programme in TUC
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
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[ICS-2448] Πρόσκληση Εκδήλωσης Ενδιαφέροντος για την κάλυψη μίας (1) θέσης έκτακτου προσωπικού για Full Stack .WEB Developer
Laboratory: ceHA
Date of announcement: 15-12-2025
Closing date: 19-01-2026, 16:00
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[ICS-2447] One (1) RESEARCHER (B Grade) Position in the field of 'Computational Methods in Space Sciences'
Position Description:
The Researcher Grade B position, specialized in “Computational Methods in Space Sciences,” focuses on developing and applying advanced computational techniques, simulation methods, statistical analysis, and artificial intelligence to study, interpret, and exploit data from space missions, satellites, and ground-based observatories. The role encompasses applications in astrophysics and/or Earth observation, with particular emphasis on the synthesis, interpretation, and modeling of large datasets.
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Laboratory: SPL
Date of announcement: 12-12-2025
Closing date: 27-02-2026, 16:00
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[ICS-2446] One (1) RESEARCHER (B Grade) Position in the field of 'Computational Biodiversity'
Position Description – Analysis of the Scientific Field:
Computational Biodiversity is the scientific discipline that focuses on the design of algorithms and models — such as machine learning methods, data science approaches, discrete and numerical algorithms, as well as classical statistical techniques — and on the development of corresponding software and tools for the exploration, analysis, and interpretation of biodiversity data (ecological, genetic, biogeographical, satellite, or sensor data). At the same time, particular emphasis is placed on the analysis and interpretation of real/empirical biodiversity data, in close collaboration with biologists. Overall, Computational Biodiversity aims to facilitate and enhance research in the field of biodiversity.
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Laboratory: CBML
Date of announcement: 12-12-2025
Closing date: 16-02-2026, 16:00
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[ICS-2443] Call for expression of interest for a position of a student enrolled to a University PhD Program in Computer Science or Computer Engineering or Electrical Engineering
We seek a highly motivated student enrolled to a University PhD Program in Computer Science or Computer Engineering or Electrical Engineering to join our team. 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. In addition, the candidate can contribute in deliverables and technical reports, participate in project meetings and publish research results in peer-reviewed journals and conferences. Abstract NextGEM is a 4-year project which was started on 1st of July 2022 and is funded under the call “Exposure to electromagnetic fields (EMF) and health” (HORIZON-HLTH-2021-ENVHLTH-02-01). The NextGEM vision is to assure safety for EU citizens when employing existing and future EMF based telecommunication technologies. This will be accomplished by generating relevant knowledge that ascertains appropriate prevention and control/actuation actions of EMF exposure in residential, public, and occupational settings. Fulfilling the vision will provide a healthy living and working environment, under safe EMF exposure conditions, that can be trusted by people and be in line with the regulations and laws of the public authorities. For that, NextGEM will provide a framework for the generation of health-relevant scientific knowledge and data on new scenarios of exposure to EMF in multiple frequency bands, and develop and validate tools for evidence-based risk assessment. NextGEM will also create the NextGEM Innovation and Knowledge Hub (NIKH) for EMF and Health offering a standardised way for European regulatory authorities and the scientific community to store and assess project outcomes, and provide access to FAIR data.
Laboratory: TNL
Date of announcement: 24-11-2025
Closing date: 05-12-2025, 16:00
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DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: 9Β4Ε469ΗΚΥ-Ν6Ρ)
[ICS-2442] Μία (1) θέση έκτακτου προσωπικού για Πτυχιούχο Πληροφορικής εγγεγραμμένο σε ΜΔΕ ή Κάτοχο Μεταπτυχιακού Διπλώματος Ειδίκευσης (ΜΔΕ)
Ανάπτυξη Καινοτόμων Υπηρεσιών και Εκπαιδευτικών Υπηρεσιών για το PHAROS (WP4 - END-TO-END USER SUPPORT, Task 4.5,WP5 - BUILDING TRAINING CAPACITY AND SKILLS, Task 5.3).
Laboratory: ISL
Date of announcement: 25-11-2025
Closing date: 05-12-2025, 16:00
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Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: ΡΛΤΙ469ΗΚΥ-ΗΙΑ)

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