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Field
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conduct experiments that explore novel approaches in bio-inspired AI and sensor technologies, integrating insights from biology and neuromorphic engineering for embodied intelligent systems. Algorithm
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aerial vehicle (UAV) technology make them a promising solution to densify ELA monitoring. However, expanding the density of meteorological sensors in the ELA to bridge the spatiotemporal meteorological
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 2 months ago
Lidar and the Roscoe upper troposphere/lower stratosphere lidar). Additional projects include the development of machine learning and advanced data processing algorithms, and participation in upcoming
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, manufacturability, and operational performance in pipeline environments. B. Defect Detection & Multimodal ML Oversee the development of vision-/LiDAR-based defect detection algorithms for cracks, chokage, deformation
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the wild? You are excited about deploying autonomy algorithms on real platforms and validating them in demanding real-world environments? We are looking for an outstanding and highly motivated doctoral
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the Computer Vision Lab, equipped with state-of-the-art visual sensors and acquisition systems, along with the Zero-G Lab, a unique facility designed to emulate proximity operations under space-like conditions
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turbine blades. Successful re-development for end-of-life composites could enable reuse in other structural applications. This PhD will investigate the development of hierarchical Bayesian algorithms
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to transform EO data into reliable, transparent and actionable intelligence is critical. You will explore novel approaches for exploiting multi-sensor satellite data — such as optical, SAR, thermal, and
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, cellular, satellite, radio) into remote platforms. Optimizes systems for rugged, low-power field deployment. Creates and refines digital signal processing (DSP) algorithms, including filtering, Doppler
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UiA-CERN PhD Position in Multi-robot Mapping and Environmental Data Sharing - Uncertain Environments
aims to design and implement a cloud-based architecture for storing and managing maps and associated sensor data, enabling data sharing across multiple robots and missions. It will focus on compact data