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Field
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Requisition Id 15490 Overview: The Multimodal Sensor Analytics group in the Electrification and Energy Infrastructure Division (EEID) is seeking a postdoctoral researcher with proven expertise in
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integrating visual data with spatial sensors like RGBD and LiDAR. This Research Engineer (Research Technician 2) role offers the opportunity to work across the full stack of data collection, model training
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a set of suitable EGG sensors, thereby enabling an electrogastrogram. This device will be created by SYMME in collaboration with the expertise of LIP/PC2S. Objective 2: Once the device has been
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, and sensor data processing algorithms; implementing and testing ROS nodes, embedded controllers, and closed-loop control routines on prototype hardware; preparing technical reports, delivering
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sensors, actuators, control algorithms, and embedded systems. Guide the development and deployment of digital twins for real-world processes and infrastructures (e.g., factories, greenhouses, robotics
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programming (Python, MATLAB), neural networks, deep learning or physiological signal analysis. - Minimum of 2 years of accredited professional or research experience in tasks directly related to: AI algorithm
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. Responsibilities* Design, implement, and evaluate LiDAR-based experiments in lab and real-world settings. Develop and test algorithms for object detection, tracking, and classification using LiDAR sensors. Help
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interact with the world around us. However, the power requirements and carbon emissions of AI are equally dramatic: training a single state of the art algorithm has the same carbon footprint as the lifecycle
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with the latest sensors (camera and LiDAR sensors), is available for the work. What you will do Development of algorithms for 3D multi-object tracking based on heterogeneous sensor data fusion (standard
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Do you want to contribute to surveillance of infectious pathogens using computer science and mathematics? Join the Delft Bioinformatics Lab and work on graph-based algorithms for microbial genomics