Jobs

[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-1635] One (1) position of an Electronic Engineer with expertise in Computer Networks in the Institute of Computer Science (ICS) Foundation for Research and Technology – Hellas (FORTH)
We seek an experienced member for our team, with a background in Electronic engineering and Computer Science with focus in computer networks. The candidate will participate in the R&D and Management activities of FORTH in the context of the projects «GUARD: A cybersecurity framework to GUArantee Reliability and trust for Digital service chains» and “SMART‐BEAR: Smart Big Data Platform to Offer Evidence‐based Personalised Support for Healthy and Independent Living at Home. In the context of the GUARD project, the candidate will participate in the design and implementation of a holistic framework for advanced end‐to‐end assurance and protection of business service chains that will be able to detect of attacks and identify of new threats by means of network monitoring, packet inspection, log collection and system call tracing. In the context of SMART‐BER the candidate will participate in the development and deployment of a participant monitoring, environment sensing, data collection platform that will support decision making and personalized intervention enhancing the well‐being and independent living of participants.
Decision to cancel position
Laboratory: DISCS
Date of announcement: 08-12-2020
Closing date: 23-12-2020
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[ICS-1633] Μία (1) θέση έκτακτου προσωπικού για Πτυχιούχο Πληροφορικής ή Επιστήμης Υπολογιστών ή Μηχανικών Η/Υ ή Ηλεκτρολόγων Μηχανικών & Μηχανικών Η/Y
Ανάπτυξη διαδικτυακών εφαρμογών για την υποστήριξη του LIMS (Laboratory Information Management System) και Biobank (Σύστημα Αποθήκης Δειγμάτων)
Laboratory: ISL
Date of announcement: 30-11-2020
Closing date: 15-12-2020
More info (greek version)
Available Results :
Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: ΩΘ8Χ469ΗΚΥ-2Ι5)
[ICS-1632] Μία (1) θέση έκτακτου προσωπικού για Πτυχιούχο Πληροφορικής ή Επιστήμης Υπολογιστών ή Μηχανικών Η/Υ ή Ηλεκτρολόγων Μηχανικών & Μηχανικών Η/Υ
Ανάπτυξη διαδικτυακών εφαρμογών για την υποστήριξη του LIMS (Laboratory Information Management System) και Biobank (Σύστημα Αποθήκης Δειγμάτων).
Laboratory: ISL
Date of announcement: 30-11-2020
Closing date: 15-12-2020
More info (greek version)
Available Results :
Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: ΩΥΣΘ469ΗΚΥ-ΞΡ7)
[ICS-1631] Call for expression of interest for one (1) full-time (ESR) PhD Student on Provenance Management
The position is a full-time position and is funded by the European Commission under the Marie Curie Initial Training Network (ITN) program KnowGraphs. The main goal of KnowGraphs is to scale Knowledge Graphs to be accessible to a wide audience of users across multiple domains including (1) companies (in domains including Industry 4.0, bio-medicine, finance, law) of all sizes and even (2) end users (e.g., through personal assistants and web search). Addressing this goal demands a mix of works from the theoretical foundations to the exploitation and economic repercussions of Knowledge Graphs. KnowGraphs focuses on addressing four of the facets of Knowledge Graph management: (F1) representation, (F2) construction and maintenance, (F3) operation and (F4) exploitation. The project will address these pillars by researching and developing novel methods, models and frameworks using a cross-disciplinary mix of methods from Web Science, Data Science, Knowledge Representation, Knowledge Engineering, Big Data, data law, and business innovation. The results will be applied across sectors, i.e., in domains including personalized medicine, Industry 4.0, question answering, personal assistants and Web search. The KnowGraphs consortium aspires to establish a fertile multidisciplinary research and innovation community with strong entrepreneurial culture that will advance research on different aspects of Knowledge Graphs.
Laboratory: ISL
Date of announcement: 19-11-2020
Closing date: 18-12-2020
More info (greek version)
Available Results :
Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: ΨΡΥΔ469ΗΚΥ-ΒΨΩ)
[ICS-1630] Δύο (2) θέσεις έκτακτου προσωπικού (Επιστήμονες/Μηχανικοί software-hardware) στο πλαίσιο του έργου V4-ICARUS
Αντικείμενο: Σχεδίαση, υλοποίηση, και έλεγχος ορθής λειτουργίας συσκευής - πιλότου και πληροφοριακού συστήματος – και επίδειξη συστήματος/εγχειρίδιο χρήσης. Το αντικείμενο θα αφορά το σύνολο των τεχνολογιών που θα αναπτυχθούν και χρησιμοποιηθούν στο πλαίσιο του Έργου στα Πακέτα Εργασίας ΠΕ3 και ΠΕ4.
Laboratory: TNL
Date of announcement: 19-11-2020
Closing date: 04-12-2020
More info (greek version)
Available Results :
Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: ΨΠΟΖ469ΗΚΥ-ΚΛΣ)

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