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Candidates should have a Ph.D. in Robotics, Control Science and Engineering, Automation, or related disciplines. Candidates with prior postdoctoral research experience will be preferred. Applicants
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collaborative research on humanoid robotics, including simulation, motion generation, and control Develop and implement algorithms leveraging computer graphics techniques (e.g., physics simulation, character
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of laboratory automation, robotics, or instrument-control systems. Implementation of workflow orchestration, schedulers, message queues, or microservices. Use of Docker, Kubernetes, CI/CD, cloud infrastructure
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, including unmanned aerial vehicles (UAVs). The research will explore the joint design of communication, sensing, control, and decision-making mechanisms to enable efficient, reliable, and intelligent robotic
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Advertisement for the field of study such as: Automation Engineering, Electrical Engineering, Computer Science, Cybernetics, Mechanical Engineering, Mechatronics, Control Engineering, Software
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Annie Spratt 18th October 2026 Languages English Norsk Bokmål English English PhD Scholarship - AI for Forest Robotics Apply for this job See advertisement Key Information The PhD fellowship aims
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at the undergraduate level. ROBOTICS & PHYSICAL AI, with an emphasis on embodied autonomous and semi-autonomous systems that perceive, plan, and act under real-world physical constraints, including in close
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Science, Robotics, or a closely related field completed by the start date. Preferred Qualifications: A strong publication record in structural mechanics and/or aerial robotics. A background with rapid prototyping and
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marine robotics (ROVs, AUVs) or comparable robotic and electromechanical systems; Linux-based scientific computing environments, version control with Git, and at least one scripting language (Python
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Future robots must perceive, predict, communicate, and decide reliably in complex, human–robot shared environments. The Mobile Robotics (https://www.aalto.fi/en/department-of-electrical-engineering