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[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
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[ICS-2228] Μία (1) θέση έκτακτου προσωπικού για Πτυχιούχο Ανώτατης Πανεπιστημιακής Εκπαίδευσης (ΑΕΙ) της ημεδαπής ή αναγνωρισμένο ισότιμο τίτλο σπουδών της αλλοδαπής
Παροχή υπηρεσιών επικοινωνίας.
Laboratory: CEHA
Date of announcement: 25-06-2024
Closing date: 05-07-2024
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DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: 94ΛΤ469ΗΚΥ-ΚΦΑ)
[ICS-2227] Μία (1) θέση έκτακτου προσωπικού για Πτυχιούχο Ανώτατης Πανεπιστημιακής Εκπαίδευσης (ΑΕΙ) της ημεδαπής ή αναγνωρισμένο ισότιμο τίτλο σπουδών της αλλοδαπής
Συντονισμός εργασιών και δράσεων έργου
Laboratory: CEHA
Date of announcement: 25-06-2024
Closing date: 05-07-2024
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DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: ΡΕΗ3469ΗΚΥ-Ν4Φ)
[ICS-2226] Call for expression of interest for one (1) Ph.D. student fellowship position "Blind Source Separation and Radio Imaging"
Radio-astronomy is entering the golden age, with new very sensitive instruments such as LOFAR, LWA and SKA). This allows us to reinvestigate the radio emission from ground. At these frequencies, both the close and distant universe can be studied. Radio instruments require however to reconstruct first images from a subset of Fourier components. Very nice progress have been made in the recent years in this domain, thanks to recent breakthrough in applied mathematics such compressed sensing theories or Deep learning. These tools presents however serious limitations because they consider only mono-canal data set. The goal of this project is to build a multichannel-data reconstruction, using both the deep learning concept and advanced component separation techniques. Within this project, we seek one PhD student who will develop novel data-driven approaches for the robust reconstruction of radio maps at different frequencies, which will offer uncertainty quantification, as well as the extension of these methods to the sphere. Emphasis will be given to the analysis of large-scale datasets such those that will be acquired with Square Kilometre Array Telescope (SKA). The doctoral student will be located at the premises of FORTH with a strong collaboration with the CosmoStat Laboratory at CEA Saclay.
Laboratory: SPL
Date of announcement: 21-06-2024
Closing date: 08-07-2024
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DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: ΡΔ6Ψ469ΗΚΥ-ΖΘΖ)
[ICS-2225] Call for expression of interest for one (1) Ph.D. student fellowship position "Generative Adversarial Networks and Graph Networks for the analysis of biosignals" at the Institute of Computer Science (ICS) - FORTH
Investigating how important biological problems can be addressed through advanced signal and image processing techniques is a significant challenge in Data Science. The research in this project will span multivariate time series analysis, graph networks, and machine/deep learning, complemented by expertise in natural language processing and signal processing. We will be integrating these techniques cohesively to comprehensively understand complex biological systems.
Laboratory: SPL
Date of announcement: 21-06-2024
Closing date: 05-07-2024
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DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: 9ΡΤΦ469ΗΚΥ-Β59)
[ICS-2224] Call for expression of interest for one (1) position, for one (1) BSc degree and Master’s degree holder in Computer Engineering, Computer Science in the Institute of Computer Science (ICS)- FORTH
We seek a software engineer, specifically an BSc degree holder in Computer Engineering or Computer Science and a Master’s degree holder in Computer Engineering, Computer Science with background in European and/or National RTD Projects, to assist in the project activities, in particular for the design, implementation and maintenance of web applications and content management services. The candidate will participate in the R&D activities of FORTH in the context of the project: VeriFish: Stimulating sustainable seafood consumption through a verifiable indicator framework, funded by the European Commission under the Horizon Europe Programme (HORIZON-MISS-2023-OCEAN-01-10), Grant Agreement ID: 101156426”.
Laboratory: ISL
Date of announcement: 21-06-2024
Closing date: 01-07-2024
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DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: 9ΚΨ1469ΗΚΥ-ΘΙ9)

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