Θέσεις Εργασίας

[ICS-2414] Call for expression of interest for one (1) position of Researcher with a Ph.D. degree in Computer Science or a related Engineering field

We seek one researcher with a Ph.D. in Computer Science or a related Engineering field. 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 finalized. 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.

Laboratory: CVRL

Date of announcement: 12-11-2025

Closing date: 24-11-2025, 16:00

[ICS-2413] Call for expression of interest for one (1) position of Researcher with a Ph.D. degree in Computer Science or a related Engineering field

We seek one researcher with a Ph.D. in Computer Science or a related Engineering field. 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 finalized. 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.

Laboratory: CVRL

Date of announcement: 12-11-2025

Closing date: 24-11-2025, 16:00

[ICS-2412] Call for expression of interest for two (2) systems software engineers, with MSc degree in Computer Science or Computer Engineering

We seek two (2) systems software engineers, with a MSc degree in Computer Science or Computer Engineering. The candidates will contribute to the R&D activities of FORTH, in the context of the EuroHPC-funded project SPACE, in either a full-time (preferred) or part-time capacity. The SPACE Centre-of-Excellence project aims to foster the reuse and sharing of algorithms and software components in the Astrophysics and Cosmology (A&C) application domain, where High Performance Computing (HPC)-based numerical simulations are outstanding instruments for scientific discovery. SPACE aims to extensively re-engineer the target codes to engage with new computational solutions suitable for exascale and post-exascale computing systems, and to adopt innovative programming paradigms, software solutions, and libraries. The SPACE consortium will pursue this goal through co-design activities that bring together scientists, code developers, HPC experts, HW manufacturers and SW developers, advancing lighthouse exascale A&C applications, codes, services and know-how promoting the use of upcoming exascale and post-exascale computing capabilities. In addition, SPACE will address the high-performance data analysis of the data torrent produced by exascale A&C simulation applications, also with machine-learning and visualization tools. The deployment of applications running on different platforms will be facilitated by federating capabilities focusing on code repositories and data sharing, and integrating European astrophysical communities around exascale computing by adopting software and data standards and interoperability protocols.

Laboratory: CARV

Date of announcement: 04-11-2025

Closing date: 14-11-2025, 16:00

[ICS-2411] Call for expression of interest for one (1) position for student enrolled to a University MSc Program

We seek one (1) student enrolled to a University MSc Program in Computer Science or Computer Engineering or Electrical Engineering. The candidate will contribute to the R&D activities of FORTH in the context of the EC-funded project HIGHER, particularly in the implementation, validation, and evaluation of use cases. The HIGHER project follows the Open Compute Project (OCP) Server family of standards to build processor modules for computation and acceleration, alongside a system security/control module. The project aims to build modular rack-scale systems, running with fully-featured operating systems and runtimes, and incorporating reusable standards-based infrastructure that encompasses hardware, low-level firmware, and systems software, while ensuring trustworthy functionality for managing, securing, and controlling servers. The project's open-source hardware and software outcomes will enhance European Digital Autonomy and facilitate wide adoption. Furthermore, the project will assemble representative software stacks supporting a range of use cases, including accelerated data processing and analysis for converged Cloud and HPC platforms, Infrastructure-as-a- Service with standardized management and monitoring, Platform-as-a-Service facilitating large-scale data processing for ML inference and data analytics, and memory pool management at the server rack level, with access control safeguards aligned with maturing CXL standards.

Laboratory: CARV

Date of announcement: 04-11-2025

Closing date: 14-11-2025, 16:00

Archive

[ICS-1228] Πτυχιούχος Ηλεκτρολόγος / Ηλεκτρονικός Μηχανικός ή Μηχ. Υπολογιστών ή Πληροφορικής

Ανάπτυξη ολοκληρωμένου συστήματος καταγραφής μη επεμβατικών σημάτων με στόχο τον υπολογισμό βιοδεικτών κατάλληλων να ανιχνεύουν δυνητικά παθολογικές καταστάσεις σε βρέφη.

Laboratory: CBML

Date of announcement: 04-10-2018

Closing date: 19-10-2018, 16:00

Available Results :

Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: 94ΗΛ469ΗΚΥ-ΔΑΔ)

[ICS-1227] Call for expression of interest for one (1) Engineer-Data Scientist at the Institute of Computer Science, Foundation for Research and Technology – Hellas (FORTH).

We seek an engineer/data scientist for our team with a background in machine learning and/or statistical analysis. The candidate will participate in our project entitled “Dissecting Multi-Neuronal Modules of Computation in the Neocortex” funded by the General Secretariat for Research and Technology (GSRT) and the Hellenic Foundation for Research and Innovation (HFRI) for the support of postdoctoral researchers at the Institute of Computer Science at FORTH. Specifically she/he will participate in various data preparation, analysis, and dissemination activities in the context of the project.Prior experience in machine learning, data science, and statistical analysis is an important aspect for the project. Previous research experience, specifically in computational neuroscience, is a plus.

Laboratory: TNL

Date of announcement: 03-10-2018

Closing date: 18-10-2018, 16:00

Available Results :

Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: ΩΨ0Δ469ΗΚΥ-Β6Ζ)

[ICS-1226] Εγγεγραμμένος μεταπτυχιακός φοιτητής σε τμήμα Επιστήμης Υπολογιστών, Πληροφορικής, Ηλεκτρολόγου Μηχανικού ή Μηχανικού Η/Υ

Πλήρωση μίας (1) θέσης έκτακτου προσωπικού στο πλαίσιο της Πράξης «Καταγραφή και Ανάλυση απόψεων σε πραγματικό χρόνο με χρήση Deep Learning αλγορίθμων επεξεργασίας μεγάλων δεδομένων κειμένου για τον τουρισμό-πολιτισμό στα Online/Social Media (SentiTour At Scale)», με κωδικό MIS 5030318.

Laboratory: CARV

Date of announcement: 18-09-2018

Closing date: 03-10-2018, 16:00

Available Results :

Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: 6ΧΟ8469ΗΚΥ-5ΦΧ)

[ICS-1225] Μία (1) θέση έκτακτου προσωπικού για Μηχανικό Λογισμικού / Τεχνικό Υποστήριξης

Πρόσκληση Εκδήλωσης Ενδιαφέροντος για μία (1) θέση έκτακτου προσωπικού για Μηχανικό Λογισμικού / Τεχνικό Υποστήριξης που θα απασχοληθεί στο Ίδρυμα Τεχνολογίας και ‘Έρευνας (ΙΤΕ) μέσω σύμβασης εργασίας ορισμένου χρόνου ή μίσθωσης έργου, σχετικά με α)εγκατάσταση και παραμετροποίηση εφαρμογών λογισμικού σε φορείς υγείας, β) Παροχή υπηρεσιών εκπαίδευσης χρηστών σε αίθουσα σεμιναρίων ή κατά την εργασία (on‐thejob), γ)Παροχή τεχνικής υποστήριξης σε χρήστες μέσω τηλεφωνικού κέντρου, απομακρυσμένης πρόσβασης ή επιτόπιας επίσκεψης, δ)Συγκέντρωση δεδομένων και πραγματοποίηση παραμετροποίησης, μετάπτωσης και διασύνδεσης με τρίτα συστήματα.
Απόφαση Ματαίωσης

Laboratory: CEHA

Date of announcement: 17-09-2018

Closing date: 02-10-2018, 16:00

[ICS-1224] Πτυχιούχος Μηχ. Υπολογιστών ή Ηλεκτρολόγος Μηχανικός ή Πληροφορικής ή Μαθηματικών

Laboratory: CBML

Date of announcement: 14-09-2018

Closing date: 29-09-2018, 16:00