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and navigation algorithms for robot in complex environments. Key Responsibilities: Responsible for development of robust and reliable sensor fusion algorithms for localization and navigation algorithms
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(BZERO). The project's key focus areas may include: Studying Human-Autonomy Interaction: Ensuring collaboration between ship crews and autonomous navigation systems in dynamic control environments
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, contribute to the design and analysis of intervention studies including randomised controlled trials, and translate complex findings into outputs that inform clinical practice and prevention strategies
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2 Apr 2026 Job Information Organisation/Company OsloMet – Oslo Metropolitan University Research Field Computer science » Other Engineering » Control engineering Engineering » Mechanical engineering
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at OsloMet OceanLab, contributing to research on data-driven methods for sustainable maritime operations. The work will focus on voyage optimization, operational decision support, and control strategies
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project deliverables are met. Collaborate with the PI, Co-PIs and NTU team to design and develop a robust and scalable software system for autonomous agents navigating immersive 3D virtual environments (e.g
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seamlessly in the physical world through embodied robotic platforms. The PhD candidates will be part of the department’s research activities at OsloMet OceanLab, working within robotics, control, perception
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. The ability to obtain source code access to export controlled nuclear software, including VERA. Preferred Qualifications The ideal candidate will have experience in methods and software development related
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using monocular vision. Perception-aware navigation in GPS-denied environments. Coordinating heterogeneous teams of aerial and ground robots. Perception-based multi-robot coordination and task allocation
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to design and develop a robust and scalable software system for autonomous agents navigating immersive 3D virtual environments (e.g., Roblox, Minecraft). Implement a parallelized agent-driven framework where