CeHA

[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-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-2458] Call for expression of interest for one (1) position, for one PhD holder Scientist or Engineer

Topic: Development of AI-driven semantic analysis and data evaluation methodologies for autonomous systems and digital twin ecosystems. We seek one experienced member for our team, a Computer Scientist or Engineer, with a strong background in semantic mapping, machine learning, and robotic systems, to contribute to the research and development activities of the ORDEAL and COLOURS projects. The ORDEAL project will organise a technological challenge environment and test procedure for participants to demonstrate accurate positioning in non-permissive environments for single and swarm drones. It involves conducting field test campaigns in diverse environments (including indoor, outdoor, and GNSS-denied settings) and data-based tests to refine positioning algorithms. The project aims to strengthen defence capabilities by building expertise in test planning, evaluation, and counter-UAV measures, fostering innovation and establishing robust testing frameworks for autonomous operations. The COLOURS project aims to drive the digital transition of cultural heritage conservation by developing integrated colour analysis and restoration tools tailored to diverse artefacts, such as polychrome sculptures, textiles, and historic films. Fully interoperable with the European Collaborative Cloud for Cultural Heritage (ECCCH), these tools will provide high-precision analysis, simulate restoration results with perceptual accuracy, and support interdisciplinary collaboration through hybrid spaces. The project also focuses on enhancing public engagement via mixed reality technologies to showcase restored colours and convey artifact authenticity. The candidate will be responsible for developing methodologies that bridge autonomous system capabilities with semantic data interpretation and digital twin technologies. Specifically: • For the ORDEAL project, the candidate will contribute to the organization of technological challenges for autonomous drone navigation. Responsibilities include defining comprehensive guidelines and standards for data annotation, developing evaluation metrics for data-based tests, and managing the quality control of sensor data collected from field tests in non-permissive environments (e.g., GNSS denied). • For the COLOURS project, the candidate will work on the adaptation and semantic enrichment of Heritage Digital Twins (HDTs). This involves developing AI-based tools for predictive analysis and simulation of conservation processes, ensuring the semantic alignment of data models with the ECCCH (European Collaborative Cloud for Cultural Heritage) ecosystem, and supporting the creation of a Colour Knowledge Repository

Laboratory: CVRL

Date of announcement: 27-01-2026

Closing date: 06-02-2026, 16:00

Available Results :

Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: 9ΩΘΚ469ΗΚΥ-Υ1Ξ)

[ICS-2457] Call for expression of interest for one (1) position of a Research and Development Engineer

We seek one (1) R&D engineer for our team. The candidate will participate in the R&D activities of FORTH in the context of the EuroHPC-funded project DARE-SGA1. The DARE project will invigorate the continent’s High Performance Computing ecosystem by bringing together the technology producers and consumers, developing a RISC-V ecosystem that supports the current and future computing needs, while at the same time enabling European Digital Autonomy. DARE takes a customer-first approach (HPC Centres & Industry) to guide the full stack research and development.

Laboratory: CARV

Date of announcement: 23-01-2026

Closing date: 02-02-2026, 16:00

Available Results :

Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: ΨΙΛΝ469ΗΚΥ-ΚΑΕ)

[ICS-2456] Call for expression of interest for one (1) position of a Hardware Research and Development Engineer

We seek one (1) Hardware R&D engineer for our team. The candidates should have proven experience with hardware design and FPGA prototyping. The candidate will participate in the R&D activities of FORTH in the context of the EuroHPC-funded project DARE-SGA1. The DARE project will invigorate the continent’s High Performance Computing ecosystem by bringing together the technology producers and consumers, developing a RISC-V ecosystem that supports the current and future computing needs, while at the same time enabling European Digital Autonomy. DARE takes a customer-first approach (HPC Centres & Industry) to guide the full stack research and development.

Laboratory: CARV

Date of announcement: 23-01-2026

Closing date: 02-02-2026, 16:00

Available Results :

Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: ΕΟ4Λ469ΗΚΥ-34Φ)

[ICS-2455] Call for expression of interest for one (1) position of a Hardware Research and Development Engineer

We seek one (1) Hardware R&D engineer for our team. The candidates should have experience with hardware design and FPGA prototyping. The candidate will participate in the R&D activities of FORTH in the context of the EuroHPC-funded project DARE-SGA1. The DARE project will invigorate the continent’s High Performance Computing ecosystem by bringing together the technology producers and consumers, developing a RISC-V ecosystem that supports the current and future computing needs, while at the same time enabling European Digital Autonomy. DARE takes a customer-first approach (HPC Centres & Industry) to guide the full stack research and development.

Laboratory: CARV

Date of announcement: 23-01-2026

Closing date: 02-02-2026, 16:00

Available Results :

Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: Ε1Μ8469ΗΚΥ-ΖΘ6)

[ICS-2454] Call for expression of interest for one (1) position of an R&D Engineer in Computer Science or Computer Engineering or Electrical Engineering

We seek one (1) R&D Engineer in Computer Science or Computer Engineering or Electrical Engineering. 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: 21-01-2026

Closing date: 02-02-2026, 16:00