Researcher for Textile Analysis and Manipulation

Kingston University

Kingston upon Thames

8 months ago

Applications closed

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The Role

We are currently seeking a highly motivated and skilled researcher to join our dynamic team in the field of Artificial Intelligence (AI) and Immersive Technologies.

As a Researcher in AI, computer vision and robotics, you will be actively involved in advancing textile manipulation through cutting-edge robotics, deep learning, and computer vision. The focus of this position is on developing innovative approaches for robotic cloth folding, unfolding, and handling tasks. Using state-of-the-art techniques such as reinforcement learning, neural networks, and real-time visual recognition, you will contribute to new solutions in automation for textile processing, bringing our project’s vision closer to real-world application.

The Person

You will have a PhD or Master’s degree in Robotics, Computer Science, Engineering, or a related field, with a focus on machine learning, computer vision, or robotic manipulation.

You will also have proven experience in deep learning frameworks (e.g., TensorFlow, PyTorch) and computer vision tools with a strong knowledge of reinforcement learning and practical experience with robotic systems.

You will have excellent academic writing skills demonstrated through publications in reputable conferences/journals and have the ability to work collaboratively in a team and lead research initiatives.

The Faculty

The Faculty of Engineering, Computing & the Environment (ECE) is among the most diverse in the UK, offering a wide range of subjects that encourage cross-discipline innovation. Our academics are experts, deeply engaged in research, which they bring into their teaching. Our state-of-the-art facilities include specialised labs, a public outreach centre, a virtual reality centre, a rocket lab, flight and race simulators, a renewable energy lab, automotive and mechanical labs and new labs dedicated to electrical, electronic, and robotic engineering, along with an advanced design studio. This combination creates an ideal environment for practical learning for future engineers, and an exciting atmosphere for academic professionals.

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