AzarApply (PhDFinder)

🇦🇺 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”:
1️⃣ CV
2️⃣ Academic transcripts

🔗 More details: https://lnkd.in/ee8NXnh9

🌟 Join us and contribute to the future of robotics and AI!

For service orders, visit:

🌐 AzarApply.ir

🆔 @AzarApply

www.group-telegram.com/us/AzarApply.com/11785

4.84K viewsFeb 12 at 23:16

🇦🇺 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”:
1️⃣ CV
2️⃣ Academic transcripts

🔗 More details: https://lnkd.in/ee8NXnh9

🌟 Join us and contribute to the future of robotics and AI!

For service orders, visit:

🌐 AzarApply.ir

🆔 @AzarApply

BY AzarApply (PhDFinder)