We seek one Computer Scientist or Engineer (BSc or MSc holder) to develop and implement autonomous GPS-denied navigation and GPS spoofing detection for UAVs, utilizing computer vision, machine learning (ML), deep learning (DL), and probabilistic methods to enhance operational reliability in complex environments.The candidate will participate in the R&D activities of FORTH-ICS in the context of EDIDP 2020-MSC-NS- 2020 project “USSPs – Development of Unmanned Semi-fixed Sea Platforms” (EDIDP-MSC-NS-2020-117-USSPS), funded under EDIDP 2020-MSC-NS-2020. 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 integration of advanced capabilities on the USSPs prototype (WP5), and specifically: • GPS spoofing detection using ML or DL methods • GPS Spoofing dataset generation • Multi-sensory probabilistic data fusion • Visual- and NN-based feature extraction and tracking