🇦🇺PhD Position in Robotics & Spatial Perception – University of Queensland, Australia
📍Location: School of Electrical Engineering & Computer Science, University of Queensland (UQ), Brisbane, Australia
🎓Supervisor: Dr. Kasra Khosoussi
📅Start Date: Flexible
🔬Project Overview: We are looking for a highly motivated PhD student to work on a groundbreaking project that could lead to a paradigm shift in robotic spatial perception and state estimation! The research sits at the intersection of: • (Optimal/Adaptive) Control • Reinforcement Learning • Computer Vision & Robotic Perception (SLAM, etc.) • Deep Learning
🎯Ideal Candidate Should Have: ✅ Experience in one or more of the areas listed above ✅Strong programming skills in C++ and/or Python ✅ Passion for cutting-edge robotics research
🚀Opportunities & Benefits: • Collaborate with top robotics labs worldwide (with potential travel funding) • Be part of UQ’s vibrant robotics community • Live and research in Brisbane – home to leading robotics hubs (UQ, QUT, CSIRO)
📩How to Apply: Send the following to k.khosoussi [at] uq.edu.au with the subject line “PhD Application”: 1️⃣CV 2️⃣Academic transcripts
🇦🇺PhD Position in Robotics & Spatial Perception – University of Queensland, Australia
📍Location: School of Electrical Engineering & Computer Science, University of Queensland (UQ), Brisbane, Australia
🎓Supervisor: Dr. Kasra Khosoussi
📅Start Date: Flexible
🔬Project Overview: We are looking for a highly motivated PhD student to work on a groundbreaking project that could lead to a paradigm shift in robotic spatial perception and state estimation! The research sits at the intersection of: • (Optimal/Adaptive) Control • Reinforcement Learning • Computer Vision & Robotic Perception (SLAM, etc.) • Deep Learning
🎯Ideal Candidate Should Have: ✅ Experience in one or more of the areas listed above ✅Strong programming skills in C++ and/or Python ✅ Passion for cutting-edge robotics research
🚀Opportunities & Benefits: • Collaborate with top robotics labs worldwide (with potential travel funding) • Be part of UQ’s vibrant robotics community • Live and research in Brisbane – home to leading robotics hubs (UQ, QUT, CSIRO)
📩How to Apply: Send the following to k.khosoussi [at] uq.edu.au with the subject line “PhD Application”: 1️⃣CV 2️⃣Academic transcripts
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from ru
