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
More info (english version)
apply for the position...

Archive

[ICS-1543] One (1) full-time position for a (ESR) PhD Student on Provenance Management, funded by the European Commission under the Marie Curie Initial Training Network (ITN) program KnowGraphs
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. We welcome applicants with a Master’s degree pursuing a Ph.D. degree. The position is limited to the duration of the qualification procedure in the field of knowledge graphs with the EU project KnowGraphs. Depending on the previous qualification, the position is to be filled for a period of usually 3 years.
Laboratory: ISL
Date of announcement: 12-06-2020
Closing date: 29-06-2020
More info (english version)
Available Results :
Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: 6ΡΜΝ469ΗΚΥ-ΘΨ5)
[ICS-1542] One (1) part-time position for a Bachelor degree holder in Humanities or Social Sciences with a Master’s degree in Computer Science or a Joint Master’s degree in Computer Science and Humanities for the ARIADNEplus project
We seek one experienced member for our team, holding a Bachelor degree in Humanities or Social Sciences and a Master’s degree in Computer Science or a Joint Master’s degree in Computer Science and Humanities, with background in European and/or National ICT RTD projects, to assist in the project activities, in particular for the design and implementation of the ARIADNEplus system for Monitoring Knowledge Integration, which is based on the SYNERGY Reference Model (of data provision and aggregation) and the CIDOC CRM ontology and its extensions. The candidate will participate in the R&D activities of FORTH in the context of the project: ARIADNEplus: Advanced Research Infrastructure for Archaeological Dataset Networking in Europe (plus), funded by the European Commission under the H2020 Programme, contract no. H2020-INFRAIA-2018-1-823914”.
Laboratory: ISL
Date of announcement: 12-06-2020
Closing date: 29-06-2020
More info (english version)
Available Results :
Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: 6ΥΝΙ469ΗΚΥ-ΨΧ7)
[ICS-1541] Μία (1) θέση Μεταπτυχιακού Φοιτητή στο πλαίσιο της Πράξης με τίτλο «Proximiot - Proximity Marketing Platform»
Αντικείμενο της θέσης: • Σχεδίαση και υλοποίηση κλιμακώσιμων συστημάτων αποθήκευσης δεδομένων • Σχεδίαση και υλοποίηση κλιμακώσιμων συστημάτων διαχείρισης και επεξεργασίας μεγάλων ροών συμβάντων
Laboratory: ISL
Date of announcement: 12-06-2020
Closing date: 29-06-2020
More info (greek version)
Available Results :
Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: 9Τ9Υ469ΗΚΥ-ΠΥΜ)
[ICS-1540] Δύο (2) θέσεις Μεταπτυχιακών Φοιτητών στο πλαίσιο του έργου SοCοLA του Εργαστηρίου ISL του ΙΠ-ΙΤΕ
Αντικείμενο για τη θέση α): • Εξοικείωση και ενασχόληση με πλατφόρμες (Machine Learning) Μηχανικής Μάθησης και (Deep Learning) Βαθιάς Μηχανικής Μάθησης. • Δοκιμή υπαρχουσών τεχνικών Υπολογιστικής Όρασης, Μηχανικής Μάθησης και Βαθιάς Μάθησης για προβλήματα Υπολογιστικής Όρασης όπως (ενδεικτικά) η χρονική τμηματοποίηση video (temporal video segmentation) και η αναγνώριση ανθρώπινων δράσεων (human action recognition). • Μελέτη ερευνητικών εργασιών σχετικές με τα παραπάνω θέματα. • Ανάπτυξη νέων μεθοδολογιών και αλγορίθμων σχετικά με τα παραπάνω προβλήματα. Αντικείμενο για τη θέση β): • Υλοποίηση συστήματος διαλόγου (chatbot) • Ανάπτυξη παραμετροποιήσιμων στρατηγικών διαλόγου • Σχεδίαση σεναρίων χρήσης του συστήματος
Laboratory: ISL
Date of announcement: 09-06-2020
Closing date: 24-06-2020
More info (greek version)
Available Results :
Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: Ψ2ΩΩ469ΗΚΥ-Η90)
[ICS-1539] One (1) position for a Research Associate
We seek an experienced member for our team, a Research Associate, with strong background in European Research Projects. The candidate will participate in the R&D activities of FORTH in the context of the projects “C4IIoT: Cyber security 4.0: protecting the Industrial Internet of Things”, funded under H2020-SU-ICT-2018-20 and “COLLABS: A COmprehensive cyber-intelligence framework for resilient coLLABorative manufacturing Systems”, funded under H2020-ICT-2018-20. In the context of the above-mentioned projects project, FORTH, along with the projects’ partners, will study and develop specialized communication protocols for emerging, ICT-enabled systems.
Laboratory: DISCS
Date of announcement: 09-06-2020
Closing date: 24-06-2020
More info (english version)
Available Results :
Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: ΨΒ9Λ469ΗΚΥ-5ΥΝ)

Pages

Ολες οι παλαιότερες προκυρήξεις