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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-2106] Call for expression of interest for one (1) position of Experienced Researcher in the Institute of Computer Science (ICS) Foundation for Research and Technology – Hellas (FORTH)
We seek one experienced researcher, PhD holder, in Machine Learning with background in RTD projects. The candidate will participate in the R&D activities of FORTH-ICS in the context of EDIDP 2020 project “USSPs – Development of Unmanned Semi-fixed Sea Platforms” (EDIDP-MSC-NS-2020-117-USSPS), funded under EDIDP 2020, and will work on Machine Learning and Sensory data processing related aspects. The project “Development of Unmanned Semi-fixed Sea Platforms for Maritime Surveillance” (USSPS) will develop the backbone of an advanced C5ISTAR federated system of systems. USSPS will integrate legacy assets and systems with innovative solutions, aiming to improve maritime surveillance capabilities, reduce high value asset utilization and mission related costs, and provide cross-domain persistent and permanent maritime situational awareness. The project will develop an unmanned highly autonomous, energy efficient and miniaturized oil rig technology-based platform capable to integrate a wide range of air, surface and underwater sensors. The platforms will enable deployment in any geographical region, including all types of sea-beds and deep-sea regions, and operation under adverse environmental conditions. The candidate will contribute in tasks regarding the environmental perception and situational awareness of unmanned vehicles. Required qualifications: • Ph.D degree in Computer Science or related Engineering field • Demonstrated experience with ICT R&D projects • Research experience – Publications in the fields of (a) machine learning with emphasis on deep learning techniques, and/or (b) Sensory data processing (Computer Vision, Signal Processing, Pattern Recognition, etc) • Programming languages: C, C++, python • Experience with development tools: opencv, ROS, scipy, Matlab or equivalent • Willingness and ability to work in a team, to learn, and to take initiatives • Communication skills • EU citizenship Desired qualifications: • Experience with Frugal Learning methods • Experience with Sensory (Visual) data processing • Hands-on experience with deep neural networks • Two (2) reference letters Application Submission Interested candidates can submit their applications via http://www.ics.forth.gr/jobs/en/ using the link “Apply for the position” under the announcement. Applications must include: • Detailed CV, including qualifications and interests in the above areas, and proof thereof; • Scanned copies of academic titles; • Detailed presentation of prior work, studies and/or publications, references etc. demonstrating knowledge of desired skills (e.g. experience on specific programming languages and hardware platforms). The candidates
Director Decision of extension
Laboratory: CVRL
Date of announcement: 23-10-2023
Closing date: 17-11-2023
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DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: ΡΥΑΚ469ΗΚΥ-Υ5Ε)
[ICS-2105] Call for expression of interest for two (2) positions of Computer Scientist or Engineer in the Institute of Computer Science (ICS) Foundation for Research and Technology – Hellas (FORTH)
We seek two Computer Scientists or Engineers (BSc or Msc holders) in Machine Learning with background in RTD projects. The candidates will participate in the R&D activities of FORTH-ICS in the context of HORIZON 2021 project “PERCEIVE – Perceptive Enhanced Realities of Colored collEctions through AI and Virtual Experiences” (HORIZON-CL2-2021-HERITAGE-01-04-101061157-PERCEIVE), funded under HORIZON-CL2-2021-HERITAGE-01, and will work on Machine Learning and Sensory data processing related aspects. PERCEIVE aims at improving the perception, preservation, curation, exhibition, understanding and access of colored Cultural Heritage collections. It aims at developing a reliable way to Study, Reconstruct, Render, Remap, Exhibit and Re-appropriate them. The candidates will contribute in tasks regarding data augmentation, as well as modeling and training of NN for color restoration.
Director Decision of extension
Laboratory: CVRL
Date of announcement: 23-10-2023
Closing date: 17-11-2023
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DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: 9ΛΝΛ469ΗΚΥ-ΕΑΜ)
[ICS-2104] Call for expression of interest for two (2) position of Computer Scientists or Engineers in the Institute of Computer Science (ICS) Foundation for Research and Technology – Hellas (FORTH)
We seek two Computer Scientists or Engineers (BSc or Msc holders) in Machine Learning with background in RTD projects. The candidates will participate in the R&D activities of FORTH-ICS in the context of EDF-2021-DIGIT-R-2 project “KOIOS – Knowledge Extraction, Machine Learning and other AI approaches for secure, robust, frugal and explainable solutions in Defence Applications” (EDF-2021-DIGIT-R-2-101103770-KOIOS), funded under EDF-2021-DIGIT-R-2, and will work on Machine Learning and Sensory data processing related aspects. The main objective of our project, KOIOS, is to develop new AI-based methods that are trustworthy (under human control and explainable), robust (resilient to attacks) and frugal in the use of resources (data, computing capabilities, energy,…) addressing tasks in a more efficient manner than the current state-of-the-art ML/DL methods while maintaining similar performance, and improving resilience (for adversarial attacks), consistent behaviour and limiting the cognitive and technical efforts when adapting to new data or dynamic contexts. The candidates will contribute in tasks regarding the ML capabilities of advanced autonomous vehicles.
Laboratory: CVRL
Date of announcement: 23-10-2023
Closing date: 02-11-2023
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DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: ΨΕΤ1469ΗΚΥ-Σ1Ω)
[ICS-2103] Call for expression of interest for one (1) position of student enrolled to University MSc Programme, in the Institute of Computer Science (ICS) Foundation for Research and Technology – Hellas (FORTH)
We seek one (1) student enrolled to a University MSc Program in Computer Science or Computer Engineering or Electrical Engineering. The candidate will participate in the R&D activities of FORTH in the context of the EC-funded project REBECCA. The project REBECCA, a heavily SME-driven project, will democratize the development of novel edge AI systems. Towards this aim, REBECCA will develop a purely European complete Hardware(HW) and Software(SW) stack around a RISC-V CPU, which will provide significantly higher levels of a) performance (e.g. inferences per second), b) energy/power efficiency (e.g. inferences per joule/watt), c) safety and d) security than the existing ones. This will be achieved by utilizing state-of-the-art technologies and by making significant scientific and technological advances in several key relevant domains, including a) processing units, b) hardware accelerators, c) reconfigurable hardware, d) tightly coupled interconnected chiplets e) HW/SW co-design and co-development tools, f) system software, g) middleware, and h) AI libraries and frameworks. REBECCA will significantly contribute to realizing business and societal opportunities by validating and demonstrating its approach on 4 real-world use cases and 2 benchmarks based on real-world applications from the Smart appliances, Energy Generation, Infrastructure Inspection, Avionics Automotive and Health domains.
Laboratory: CARV
Date of announcement: 17-10-2023
Closing date: 27-10-2023
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DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: ΡΓΕ5469ΗΚΥ-Ζ7Β)
[ICS-2102] Call for expression of interest for one (1) position of student enrolled to a University MSc Program in Computer Science or Computer Engineering or Electrical Engineering
We seek one (1) student enrolled to a University MSc Program in Computer Science or Computer Engineering or Electrical Engineering. The candidate will participate in the R&D activities of FORTH in the context of the EC-funded project AERO. To ensure the successful integration of the EU processor into the cloud computing ecosystem and strengthen even more EU data sovereignty, it is necessary to develop the software support at the same pace with the hardware development. The harmonic relationship of the developed software and hardware is of paramount importance in order to establish an EU cloud platform able to compete with the mainstream solutions which are currently delivered by US companies. AERO aims to upbring and optimize an open-source software ecosystem that encompasses a wide range of software components ranging from operating systems to compilers, runtimes, system software and auxiliary software deployment services for cloud computing. The AERO software stack combines the aforementioned software components with novel software and hardware interfaces as a means to seamlessly exploit the heterogeneity aspects of the EU processor with regards to high performance, energy efficiency, and security. The ultimate objective of AERO is to facilitate easy migration of existing cloud customers to a cloud infrastructure that harnesses the capabilities of the EU processor. To showcase early adoption and the potential business value, the developed software and hardware technologies will be piloted by use cases representative of important EU industrial domains, such as automotive and space exploration.
Laboratory: CARV
Date of announcement: 17-10-2023
Closing date: 27-10-2023
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DIAVGEIA Search Number: (https://diavgeia.gov.gr with ADA: ΡΚΜ2469ΗΚΥ-1ΡΦ)

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