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