DiSCS

[ICS-2506]

We seek one (1) HPC R&D Engineer for our team. The candidates should have proven experience with HPC architectures with strong background in MPI and performance analysis. 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: 18-05-2026

Closing date: 28-05-2026, 16:00

[ICS-2505]

Description The candidate will participate in the R&D work of FORTH within the FAITH and ENKORE projects. We are looking for a Biomedical Engineer to be part of a multidisciplinary team, designing, developing and assessing the projects’ technical platforms and AI prediction models. • Required qualifications: o Bachelor degree in Electrical and Computer Engineering, Computer Science or equivalent science degree o Master degree in Biomedical Engineering or related field o Good knowledge of English. • Desired qualifications: o Experience in the domain of medical imaging with imaging techniques; o Experience and knowledge of machine learning applied to medical data; o Experience in the assessment of AI-based systems o Experience with scientific programming and machine learning frameworks. o Good quality scientific writing skills, as proven by publications or other appropriate means

Laboratory: CBML

Date of announcement: 18-05-2026

Closing date: 28-05-2026, 16:00

[ICS-2504]

Description The candidate will participate in the R&D work of FORTH within the PATH project. We are looking for a PhD student of Computer Science or related field to be part of the team developing AI-based cancer models. • Required qualifications: o Bachelor in Electrical and Computer Engineering, Computer Science or equivalent o Master degree in Computer Science or related field o PhD student in Computer Science, Biomedicine or related field o Good knowledge of English • Desired qualifications: o Knowledge and expertise in medical image processing and analysis and/or computer vision; o Experience in machine learning applications on imaging and multimodal data; o Experience with C++, java, and/or python scientific programming and machine learning frameworks;

Laboratory: CBML

Date of announcement: 18-05-2026

Closing date: 28-05-2026, 16:00

Archive

[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

[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

Available Results :

Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: ΕΚΞΑ469ΗΚΥ-1ΓΑ)

[ICS-2474] Call for expression of interest for a position of an MSc Student, with expertise in Machine/ Deep learning modeling architectures

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

Available Results :

Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: ΡΞΠΧ469ΗΚΥ-ΥΞ6)

[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

More info (greek version)

Available Results :

Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: ΨΜΑΥ469ΗΚΥ-ΒΦΘ)

[ICS-2472] Call for expression of interest for a position of a Post-Doc Researcher, expert in Data management and integration for feeding AI 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 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