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PhD Studentship: Robust quantum control for quantum error correction The development of fault-tolerant quantum computing is one of the most coveted aims of quantum technology. It will bring about a
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1st May 2026 Languages English English English UiA-CERN PhD Position in Robust and Safe Control and Planning for Robotic Platforms Apply for this job See advertisement About the position We have a
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theory, robust and optimal control, and physics-informed modelling, this research aims to bridge the gap between data-driven learning and dependable real-world autonomy. Aim You will have the opportunity
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decisions under uncertainty. Utilities must prioritise interventions such as pipe upgrades, storage expansion, real-time control, or maintenance under uncertain climate futures, constrained budgets, and
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in working on robust methods for statistical learning
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, and space hardware. This PhD research aims to develop a comprehensive Mode Selection Framework for Reduced Order Modelling (ROM) in Structural Dynamics—using machine learning to build robust
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will: Develop robust control strategies that leverage semantic data structures for rapid deployment. Create workflows to bridge BIM, energy simulation engines (e.g., EnergyPlus, Modelica), and control
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safety-critical domain, reducing hallucinations and improving robustness and trustworthiness are essential. This PhD targets principled ways to detect, analyze, and mitigate hallucinations in video-based
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well as LiDAR measurements, into ensemble agroecosystem model simulations. The successful candidate will play a key role in developing robust landscape-scale digital twins and advancing data assimilation
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mock-ups in controlled conditions, acquisition of multimodal datasets (XRF and optical spectral imaging), and design of robust preprocessing and cross-modal registration pipelines. This axis provides