Θέσεις Εργασίας

[ICS-2409] Call for expression of interest for a position of a PostDoc Researcher, expert in GenAI in multimodal clinical data in the Institute of Computer Science (ICS)- (FORTH)
The candidate will participate in the R&D work of FORTH within the FAITH project. We are looking for a PostDoc Researcher to be part of the team designing, implementing, testing and validating ML models and developing methods for the assessment of their trustworthiness.
Laboratory: CBML
Date of announcement: 20-10-2025
Closing date: 30-10-2025, 16:00
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[ICS-2408] Μία (1) θέση έκτακτου προσωπικού για Πτυχιούχο Ηλεκτρολόγου Μηχανικού Τεχνολογικής Εκπαίδευσης
Σχεδίαση και ανάπτυξη εφαρμογών σε περιβάλλοντα διάχυτης νοημοσύνης.
Laboratory: HCI
Date of announcement: 20-10-2025
Closing date: 30-10-2025, 16:00
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[ICS-2407] Call for expression of interest for one (1) position, for one experienced researcher (PhD holder) in Computer Science or Engineering
We seek one experienced researcher (PhD holder) in Computer Science or Engineering with a strong background in AI, simulation systems, and decision support technologies, to join the SEAVISTA project – Strategic Enhanced Maritime Awareness for Integrated Security and Decision Support – funded under the FRONTEX RESEARCH GRANTS PROGRAMME, PROCEDURE 2024/CFP/INNOVATE/01. SEAVISTA aims to develop an AI-driven, event-based decision support toolbox for maritime border surveillance. The system integrates multi-source sensory data, predictive analytics, and physics-informed 3D simulation for real-time and offline threat detection, anomaly analysis, and asset deployment optimization. The candidate will lead research on AI-driven decision support for maritime border surveillance using physics-informed simulation, multi-source data fusion, and explainable machine learning. Specifically: • AI-based maritime threat detection, predictive models, and optimization methods • Integration of simulation with multi-modal data (AIS, radar, satellite, environmental) • Development of evaluation methodologies and explainable AI pipelines • Coordination of experimentation and validation tasks at TRL 5–6
Laboratory: CVRL
Date of announcement: 20-10-2025
Closing date: 31-10-2025, 16:00
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[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
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[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
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[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
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[ICS-2373] Πλήρωση μίας (1) θέση έκτακτου προσωπικού (Data Engineer-Αναλυτής Δεδομένων) μερικής απασχόλησης
Στο πλαίσιο της υλοποίησης της Πράξης «Changes of Brain Networks under Learning in Normal Aging and Alzheimer’s Disease» (neuron-AD)» με Κωδικό 4058 , που χρηματοδοτείται στο πλαίσιο της «2η Προκήρυξη Ερευνητικών Έργων ΕΛ.ΙΔ.Ε.Κ. για την ενίσχυση Μελών ΔΕΠ και Ερευνητών/τριών», το Ινστιτούτο Πληροφορικής του Ιδρύματος Τεχνολογίας και Έρευνας (ΙΠ-ΙΤΕ) προτίθεται να απασχολήσει έναν Data Engineer - Αναλυτής Δεδομένων, μερικής απασχόλησης με αντικείμενο : 1. Ανάλυση των δεδομένων του έργου και συμμετοχή στην συγγραφή των παραδοτέων του έργου και επιστημονικών άρθρων 2. Συστηματική συνεργασία με τα μέλη της ομάδας 3. Συμμετοχή σε εκδηλώσεις διάχυσης των αποτελεσμάτων του έργου 4. Παρουσιάσεις άρθρων (σχετικών εργασιών) στα πλαίσια των συναντήσεων της ομάδας.
Laboratory: TNL
Date of announcement: 20-06-2025
Closing date: 30-06-2025, 16:00
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DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: ΡΕΓΚ469ΗΚΥ-021)
[ICS-2372] Call for expression of interest for one (1) position, for one (1) Data scientist
The candidate will work in preparing the new data obtained from Harvard Medical School, preprocess the data, help in data sharing, application of our software pipeline, and contribute in the infrastructure.
Laboratory: SPL
Date of announcement: 20-06-2025
Closing date: 30-06-2025, 16:00
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DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: 9ΗΞΚ469ΗΚΥ-30Ζ)
[ICS-2371] Call for expression of interest for one (1) position of MSc holder in Computer Science or Engineer in the Institute of Computer Science (ICS)- (FORTH)
We seek one Computer Scientist or Engineer (MSc holder) with background in data fusion and management and systems integration. The candidate will participate in the R&D activities of FORTH-ICS in the context of EDIDP 2020-MSC-NS-2020 project “USSPs – Development of Unmanned Semi-fixed Sea Platforms” (EDIDP-MSC-NS-2020-2117-USSPS), funded under EDIDP 2020-MSC-NS-2020.
Laboratory: ICS
Date of announcement: 23-06-2025
Closing date: 03-07-2025, 16:00
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DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: ΡΘ6Η469ΗΚΥ-ΖΑΥ)
[ICS-2370] Μία (1) θέση έκτακτου προσωπικού για Πτυχιούχο Πληροφορικής
Ανάπτυξη προηγμένων πλατφορμών διαδικτυακών υπηρεσιών, βασισμένων σε λογισμικό ανοικτού κώδικα και στο σύστημα διαχείρισης περιεχομένου (CMS) Drupal.
Laboratory: ISL
Date of announcement: 12-06-2025
Closing date: 04-07-2025, 16:00
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DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: 99ΔΔ469ΗΚΥ-ΒΥΖ)
[ICS-2369] Call for expression of interest for one (1) position of Researcher with a PhD degree in Computer Vision
We seek one experienced researcher in Computer Vision with a PhD degree. The candidate will participate in the R&D activities of FORTH-ICS in the context of the H2020 project “MAGICIAN - iMmersive leArninG for ImperfeCtion detectIon and repAir through human-robot interactioN”, funded under Horizon 2020, HORIZON-CL4-2022-DIGITAL-EMERGING-02, and will work on Computer Vision related aspects. A common trait of many important markets is the increasing attention of consumers to the aesthetic quality of the products. Even products like mid-segment cars are required to be defect-free in all the areas falling under the direct sight of the customer. These expectations translate into high-quality standards in the production process, which are currently met by requiring an important physical effort to the workers in unsafe environments. The MAGICIAN project will take on the challenge producing a modular automation solution in which robots are used to detect and rework production defects before the last production phases commence and the aesthetics of the product is finalised. The project will produce two robotic solutions, one for defect analysis (the SR) and one for the defects’ rework (the CR). The SR and the CR can be used separately, with the humans remaining in charge of some of the activities, or in combination, with the CR operating on the defects identified by the SR. The SR can also be used in connection with the welding robotic station in order to adapt the process parameters. The robots will use Artificial Intelligence modules to detect and discriminate the defects from multi-modal data (the SR) or to decide the best policy to use for defect rework (the CR). In both cases, the decision logic of the modules will be trained using machine learning algorithms. The training data set will be acquired with the help of workers, who will operate on semiworked products within a controlled environment. The SR and the CR will rely on the software services of a common robotic platform. The solution will be developed adopting a human-centered approach, which will allow us to evaluate the impact of the innovation on the production processes and remove the most important asperities along this path. The effectiveness of the solution will be tested on a usecase, and its generality proven by recruiting additional contributors and use-cases through a FSTP scheme. The candidate will work on computer vision for measurement and analysis of human-objects interaction in order to contribute in tasks regarding the visual perception of the MAGICIAN system. More specifically, the intended topics of contribution are (a) Vision-based defects detection during inspection and (b) observation of human workers during defect handling and reworking.
Laboratory: CVRL
Date of announcement: 29-05-2025
Closing date: 10-06-2025, 16:00
More info (english version)
Available Results :
Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: 937Ρ469ΗΚΥ-ΨΚΠ)

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