Institute of Computer Science-FORTH

[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-2138] Call for expression of interest for one (1) position of Researcher with an M.Sc. degree in the Institute of Computer Science (ICS) Foundation for Research and Technology – Hellas (FORTH)

We seek one researcher in Computer Vision with an M.Sc. 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. The candidate will work on computer vision methods for measurement and analysis of human-object interaction in order to contribute in tasks regarding the visual perception of the MAGICIAN system and, more specifically, to the topics of a) Defects detection during inspection b) Post-reworking verification.

Laboratory: CVRL

Date of announcement: 04-12-2023

Closing date: 14-12-2023, 16:00

Available Results :

Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: Ψ65Ξ469ΗΚΥ-2ΡΘ)

[ICS-2137] Πλήρωση μίας (1) θέσης έκτακτου προσωπικού Μεταπτυχιακού/ής Φοιτητή/Φοιτήτριας με αντικείμενο την Αλγοριθμική θεωρία παιγνίων

Στο πλαίσιο της υλοποίησης του έργου «Learning Approaches for Solution Concepts in Games (LASCON)» που χρηματοδοτείται από το Ινστιτούτο Πληροφορικής του Ιδρύματος Τεχνολογίας και Έρευνας (ΙΠ-ΙΤΕ), το ΙΠ-ΙΤΕ προτίθεται να απασχολήσει έκτακτο προσωπικό, με το οποίο θα συναφθεί συμφωνητικό μεταπτυχιακής υποτροφίας με αντικείμενο την ανάπτυξη, ανάλυση και πειραματική μελέτη αλγορίθμων μάθησης σημείων ισορροπίας σε αφαιρετικά στρατηγικά παίγνια (Επιστημονικός τομέας: Αλγοριθμική θεωρία παιγνίων)

Laboratory: TNL

Date of announcement: 04-12-2023

Closing date: 14-12-2023, 16:00

Available Results :

Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: Ψ53Σ469ΗΚΥ-ΗΞΔ)

[ICS-2136] Πλήρωση μίας (1) θέση έκτακτου προσωπικού (Αναλυτή Δεδομένων ή Μεταπτυχιακού Φοιτητή)

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 Προκήρυξης Ερευνητικών Έργων ΕΛ.ΙΔ.Ε.Κ. για την ενίσχυση Μελών ΔΕΠ και Ερευνητών/τριών» και συγχρηματοδοτείται από το Ευρωπαϊκό Ταμείο Περιφερειακής Ανάπτυξης (ΕΤΠΑ), το Ινστιτούτο Πληροφορικής του Ιδρύματος Τεχνολογίας και Έρευνας (ΙΠ-ΙΤΕ) προτίθεται να απασχολήσει έναν μεταπτυχιακό φοιτητή, Αναλυτή Δεδομένων,με αντικείμενο την κατανόηση του τρόπου με τον οποίο τα δίκτυα από κύτταρα του φλοιού συντονίζονται και αλληλο-επιδρούν μεταξύ τους, προκειμένου να επεξεργάζονται τις πληροφορίες και να επιτρέπουν στα κυκλώματα του φλοιού να τροποποιούνται κατά τη διάρκεια της μάθησης είναι περιορισμένη. Ανωμαλίες στη λειτουργική συνδεσιμότητα των νευρωνικών δικτύων, ειδικά στον οπτικό φλοιό, χαρακτηρίζουν το Alzheimer's disease (AD). Το προτεινόμενο διεπιστημονικό έργο αφορά τον χαρακτηρισμό in vivo της αρχιτεκτονικής των λειτουργικών δικτύων του οπτικού φλοιού και των αλλαγών τους κατά τη διάρκεια της εξέλιξης της νόσου. Τα μοτίβα λειτουργικής συνδεσιμότητας μεταξύ των νευρώνων θα παρακολουθούνται, σε συνθήκες ηρεμίας και μάθησης. Επίσης, οι ιδιότητες της οπτικής απόκρισης θα καταγράφονται ως συνάρτηση της εξέλιξης της νόσου. Οι αναλυτές δεδομένων σε συνεργασία με την ομάδα του έργου θα ασχοληθούν με την ανάλυση των δεδομένων αυτών, εφαρμόζοντας αλγορίθμους μηχανικής μάθησης και στατιστικής ανάλυσης. Η ομάδα συνεργάζεται στενά με την Ιατρική Σχολή του Harvard.

Laboratory: TNL

Date of announcement: 23-11-2023

Closing date: 04-12-2023, 16:00

Available Results :

Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: ΨΨ66469ΗΚΥ-ΦΟΛ)

[ICS-2135] Πλήρωση μίας (1) θέσης έκτακτου προσωπικού μερικής απασχόλησης Μηχανικού Λογισμικού με αντικείμενο τις τεχνικές βαθιάς μάθησης

Στο πλαίσιο της υλοποίησης της Πράξης «Ανάπτυξη υπολογιστικών μοντέλων για την έγκαιρη διάγνωση και διαχείριση καρκίνου του πνεύμονα με βάση τις ιατρικές εικόνες», το Ινστιτούτο Πληροφορικής του Ιδρύματος Τεχνολογίας και Έρευνας (ΙΠ-ΙΤΕ) προτίθεται να απασχολήσει έκτακτο προσωπικό μερικής απασχόλησης το οποίο θα συναφθεί συμφωνητικό σύμβασης ορισμένου χρόνου ή σύμβασης μίσθωσης έργου ή σύναψη συμφωνητικού μεταπτυχιακής υποτροφίας με αντικείμενο την επεξεργασία βιοσημάτων και τη μηχανική μάθηση.

Laboratory: CBML

Date of announcement: 22-11-2023

Closing date: 04-12-2023, 16:00

Available Results :

Results
DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: ΡΞΙ4469ΗΚΥ-ΤΩ6)

[ICS-2134] Μία (1) θέση ερευνητή ΕΛΕ Β’ βαθμίδας

Προκήρυξη για μία (1) θέση ΕΛΕ Β' βαθμίδας με γνωστικό αντικείμενο «Απεικόνιση Μαγνητικού Συντονισμού (ΑΜΣ) με έμφαση στην σχεδίαση νέων απεικονιστικών πρωτοκόλλων και την ποσοτική ανάλυση απεικονιστικών δεδομένων από πολυπαραμετρική ΑΜΣ», στο Ινστιτούτο Πληροφορικής του ΙΤΕ.

Date of announcement: 22-11-2023

Closing date: 08-01-2024, 16:00