Institute of Computer Science-FORTH

[ICS-2501] Call for expression of interest for one (1) position, for Scientist or Engineer with a Bachelor’s degree (B.Sc.), enrolled to a MSc program in Computer Science or Engineering

Topic: Design of Intelligent Perception and Guidance Systems for Autonomous Quadrupedal Robots in Unstructured Battlefield Terrains. Description We seek one experienced member for our team, a Scientist or Engineer with a Bachelor’s degree (B.Sc.) and currently an active Master’s student (M.Sc. student), with a strong background in robotics, computer vision,and embedded systems. The successful candidate will conduct research and development on perception and autonomous navigation algorithms for quadrupedal robotic platforms 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 the integration of "Agentic AI" solutions to perform complex reconnaissance and logistics missions 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 participate in the development of guidance and perception systems for quadrupedal robots, with an emphasis on the use of visual markers (AprilTags) and depth sensors for obstacle detection and avoidance. Responsibilities include the implementation of SLAM and path planning algorithms in both simulation environments and physical platforms, as well as providing technical support for the integration of ground and aerial assets. Furthermore, the candidate will contribute to the authoring of technical reports and the evaluation of navigation results in unstructured terrains.

Laboratory: CVRL

Date of announcement: 20-04-2026

Closing date: 30-04-2026, 16:00

[ICS-2500] Call for expression of interest for one (1) position, for Scientist or Engineer with a Master’s degree (M.Sc.), enrolled to a Ph.D. program in Computer Science or Engineering

Topic: Development of Robotic Skill Libraries and Mechatronic Control Frameworks for Autonomous Payload Exchange and Air-Ground Integration. Description We seek one experienced member for our team, a Scientist or Engineer with a Master’s degree (M.Sc.) and currently pursuing a PhD, with a strong background in robotic manipulation, mechatronics, and autonomous systems. The successful candidate will conduct research and development on mechatronic control and autonomous docking frameworks 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 design and implementation of mechatronic control frameworks and the development of "Skill Libraries" for autonomous payload exchange. Responsibilities include the development of docking and latching algorithms for air-ground integration, the design of robotic manipulation sequences for cargo swapping, and the preparation of technical documentation and simulation results. Furthermore, the candidate will support the technical validation of the project’s mechatronic components in simulation and laboratory environments and contribute to the "Skill Library" integration in accordance with the Grant Agreement.

Laboratory: CVRL

Date of announcement: 20-04-2026

Closing date: 30-04-2026, 16:00

[ICS-2499] Πλήρωση μίας θέσης έκτακτου προσωπικού για «Μηχανικός Λογισμικού με αντικείμενο: Ανάπτυξη νέου ψηφιακού εργαλείου»

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 με αντικείμενο: Ανάπτυξη νέου ψηφιακού εργαλείου» μέσω σύναψης σύμβασης εργασίας ορισμένου χρόνου πλήρους απασχόλησης.

Laboratory: CBML

Date of announcement: 17-04-2026

Closing date: 27-04-2026, 16:00

[ICS-2498] Πλήρωση μίας θέσης έκτακτου προσωπικού για «Μηχανικό Λογισμικού με αντικείμενο ανάλυση ιατρικής εικόνας»

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 «Μηχανικό Λογισμικού με αντικείμενο ανάλυση ιατρικής εικόνας» μέσω σύναψης σύμβασης εργασίας ορισμένου χρόνου πλήρους απασχόλησης.

Laboratory: CBML

Date of announcement: 17-04-2026

Closing date: 27-04-2026, 16:00

Archive

[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

Available Results :

Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: ΡΚΣΕ469ΗΚΥ-6ΝΙ)

[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

Available Results :

Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: Ρ7Ν7469ΗΚΥ-064)

[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

Available Results :

Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: 9ΙΔ0469ΗΚΥ-Ψ4Χ)

[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

Available Results :

Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: Ε3ΒΟ469ΗΚΥ-ΝΞΡ)

[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