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or other space-system safety standards Experience with simulation, Software-in-the-Loop, or Hardware-in-the-Loop testing Experience integrating AI methods with control, estimation, or autonomy frameworks
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, including the selection and application of scale-up modelling approaches (e.g. process simulation, expert interviews, and the integration of scale and learning effects) for the identified scenarios
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detailed analyses of interactions between vehicles and Vulnerable Road Users (KWGs) at roadworks. You develop and apply advanced traffic simulation models that include realistic micro-interactions. In doing
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with Artificial Intelligence and deep learning concepts for robotics computer vision, tactile sensing, reinforcement learning Experience with robotic simulation tools e.g., ROS, Gazebo, Mujoco, IsaacSim
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Internet, Earth Observation, and Autonomous Transportation. As far as technical enablers are concerned, we leverage expertise on advanced technologies including semantic/task-oriented data processing, signal
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Learning, addressing challenges in counter drone swarm formation and defense Design and conduct experiments using both simulation environments and real-world deployments with the nano-drones
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will include an important component of code development, in order to produce multi-color light curves of supernovae in 1D simulations that account for the physics of the stellar core (nucleosynthesis and
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false positives and maximizing robustness. Validate the pipeline using diverse and regulatory-relevant samples, supporting future accreditation. You will work closely with a multidisciplinary team of
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for an immediate start, and all other factors being equal, preference will be given to applicants ready to commence at the earliest opportunity. Specific Requirements Application Procedure: Interested candidates
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, or autonomous driving applications Perception and Sensor Fusion: Strong background in processing and fusing data from cameras, LiDAR, radar, or other sensors for robust autonomous system perception ML Engineering