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2 Apr 2026 Job Information Organisation/Company Università di Pisa - Dipartimento di Ingegneria dell'Informazione Research Field Engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 2 May...
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Full time: 35 hours per week Fixed term contract: Until 31st July 2026 with potential for a further extension subject to funding The opportunity: Where curiosity becomes impact. With roles from hospitality to research, there’s a career for everyone at the University of Edinburgh. We can offer...
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implementation of LED drivers for indoor lighting control. 2) Design of server management algorithms on an IoT server for monitoring light sensors and controlling the lighting system. Development of spectral
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in underground facilities. The project aims to evaluate sensor technologies, design and optimize multi-sensor monitoring networks, and develop advanced detection and localization algorithms adapted
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, design and optimize multi-sensor monitoring networks, and develop advanced detection and localization algorithms adapted to complex 3D underground geometries. The research will be conducted in close
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for space and hypersonic applications, integrating heterogeneous sensor data (EO, radar, IMU, LiDAR) into robust orbit determination and relative navigation pipelines. The position spans theoretical algorithm
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integration. Key Responsibilities: Lead the design and development of mechatronic systems, including mechanical structures, sensors, actuators, and embedded control units. Review system design and firmware
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multimodal AI algorithms for fire, smoke, and hot-work detection by fusing optical, thermal/infrared, LiDAR, RADAR, and gas sensor data under varying environmental conditions. Design computer vision and human
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Is the Job related to staff position within a Research Infrastructure? No Offer Description Computational geometry is the area within algorithms research dealing with the design and analysis
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is to design a data architecture capable of harmonising sensor data and integrating them with artificial intelligence algorithms for predictive irrigation management. The research will include