Θέσεις Εργασίας

[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-2406] Call for expression of interest for one (1) position for one MSc student in Computer Science or Computer Engineering or Electrical Engineering

We seek one MSc student in Computer Science or Computer Engineering or Electrical Engineering to support the implementation and testing of software components in the context of the SEAVISTA project – Strategic Enhanced Maritime Awareness for Integrated Security and Decision Support – funded under the FRONTEX Research Grants Programme (2024/CFP/INNOVATE/01). The job scope is AI-driven decision support for maritime border surveillance using physics-informed simulation, multi-source data fusion, and explainable machine learning. The selected candidate will assist in the integration and testing of AI models, data pipelines, and simulation tools, helping bridge the gap between research prototypes and robust demonstrators for maritime situational awareness. Specifically, the job’s main responsibilities are: • Develop and maintain code for data preprocessing, pipelines, and interfaces • Implement prototype features within simulation and analytics components • Conduct testing and validation of AI-based subsystems • Support documentation and demos for project deliverables

Laboratory: CVRL

Date of announcement: 20-10-2025

Closing date: 31-10-2025, 16:00

Available Results :

Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: ΡΥΩ6469ΗΚΥ-Τ5Α)

[ICS-2405] Call for expression of interest for one (1) position of Computer Scientist or Engineer, MSc holder

We seek one Computer Scientist or Engineer (MSc holder) with a background in machine learning and data fusion, to join the SEAVISTA project – Strategic Enhanced Maritime Awareness for Integrated Security and Decision Support – funded under the FRONTEX Research Grants Programme (2024/CFP/INNOVATE/01).The scope of the position is AI-driven decision support for maritime border surveillance using physics-informed simulation, multi-source data fusion, and explainable machine learning. The selected candidate will contribute to the development of AI-based models for anomaly detection, behavior classification, and real-time risk assessment in maritime environments. The position involves working with diverse data sources (e.g., AIS, radar, satellite) and supporting the integration of these capabilities into the SEAVISTA simulation and decision support platform.

Laboratory: CVRL

Date of announcement: 20-10-2025

Closing date: 31-10-2025, 16:00

Available Results :

Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: ΡΓΗΑ469ΗΚΥ-ΖΛΕ)

[ICS-2404] Call for expression of interest for one (1) position, for a Computer Scientist or Engineer

We seek one experienced member for our team, one Computer Scientist or Engineer, with background in European and/or National ICT RTD projects, to contribute to the research and development activities of the COLOURS - Collaborative On-cloud Lab for the conservation and digital restoration of ColOUred heritage collectionS project (Grant Agreement number: 101233413), funded under HORIZON-CL2-2024-HERITAGE-ECCCH-01-05.Preserving Europe’s cultural heritage requires advanced digital tools that enable seamless collaboration among curators, conservators, and scientists. These tools must preserve primary data referenced to digital representations and twins and maintain documentation of analysis and reasoning processes. They must also preserve “raw” primary data to ensure accuracy and integrity and support future analysis techniques as the methods evolve. Colour, a key element of cultural heritage, is critical to understanding the historical and artistic significance of artefacts. However, its preservation faces challenges such as fading, alteration or loss. Events like the Notre Dame fire highlight the need for adaptive collaborative environments, while public reaction to the Sistine Chapel restoration highlights the importance of tools that predict and communicate restoration results. Building on 2 years of research and development conducted under PERCEIVE, the project aims to make a major contribution to the digital transition of cultural heritage conservation and restoration by developing integrated colour analysis and restoration tools tailored to diverse artefacts, including polychrome sculptures, paintings, textiles, historic films and photographs. These tools, fully interoperable with the European Collaborative Cloud for Cultural Heritage, will provide high-precision analysis, simulate restoration results with perceptual accuracy, and support interdisciplinary collaboration through hybrid spaces that merge virtual and physical environments. These spaces will enable real-time interaction with the digital twins , fostering inclusive decision-making among conservators, curators, and scientists, while ensuring accessibility for remote participants. In addition, the project seeks to enhance public engagement by leveraging mixed reality technologies and digital storytelling to showcase restored colours and convey the authenticity of artefacts, promoting a deeper appreciation of CH.

Laboratory: CVRL

Date of announcement: 20-10-2025

Closing date: 31-10-2025, 16:00

Available Results :

Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: 96ΥΖ469ΗΚΥ-ΖΒ7)

[ICS-2403] Call for expression of interest for one (1) position of 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. 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 Requirements • Enrolled to a University graduate MSc Program in Computer Science or Computer Engineering • Physical presence at FORTH, Heraklion, Crete for the duration of the position • Demonstrated experience with the C language. • Demonstrated knowledge with the runtime environment and compilations tools for HPC accelerators, such as NVIDIA GPU’s. • Demonstrated knowledge with workload-driven evaluation of GPU accelerators using AI frameworks, such a PyTorch or TensorFlow. • Demonstrated experience with communication protocols and abstractions for high-speed interconnects that provide RDMA-based operations. • Fluent knowledge of English. • Names of at least three professional references

Laboratory: CARV

Date of announcement: 08-10-2025

Closing date: 20-10-2025, 16:00

Available Results :

Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: 9ΣΗΕ469ΗΚΥ-ΝΨ7)

[ICS-2402] Call for expression of interest for one (1) position of a Research and Development Engineer, in the Institute of Computer Science (ICS) Foundation for Research and Technology – Hellas (FORTH)

We seek one (1) Hardware R&D Engineer for our team. The candidates should have proven experience with RISC-V or ARM architectures with strong background in building FPGA and system prototypes. 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: 26-09-2025

Closing date: 06-10-2025, 16:00