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Assistant Professor Position in Transient Electromagnetic Signal Processing, Modelling and Inversion
: * Development of advanced signal processing methodologies for transient electromagnetic data * Development of transient electromagnetic forward modelling and inversion algorithms. * Development of processing
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sensing technologies (camera, Electromagnetic tracking system, FBG sensing) with continuum robotic systems and development of associated sensing and estimation algorithms 3D environment reconstruction based
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level, from the quantum processor to the quantum-classical interface all the way to quantum algorithms and applications. The vision of the programme is to enable the development of fault-tolerant quantum
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intelligent control and aerial robotics for navigation in uncertain environment. You will be mainly responsible: for implementation of machine-learning algorithms for unmanned aerial vehicles; validation
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-of-the-art digital methods and/or algorithms in the study of social world phenomenon? The Department of Society and Politics, the Faculty of Social Sciences and Humanities, AAU invites applications for a 3
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interface, and all the way to quantum algorithms and applications. The long-term mission of the programme is to develop fault-tolerant quantum computing hardware and quantum algorithms that solve life
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vehicles for offshore inspection, surveillance and exploration. The project focuses on the development of high-speed USV technologies that can operate reliably in challenging marine environments and support
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integration of mechanical structures, actuators, sensors, and control hardware, development of control algorithms, and programming for embedded or robotic platforms. You are familiar with modelling and analysis
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(e.g. Agentic Reinforcement Learning), evaluation, tool use, agentic harness, or retrieval-augmented systems. Internship/full-time experience from research, engineering, or algorithm-development roles in
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, sustainability assessments, etc. Research areas include: Advance data science, predictive modelling, and intelligent systems for the Agro-Food domain. Adopt theoretical research results (algorithmic developments