Postdoctoral Research Assistant in Machine Learning

University-of-Oxford; Oxford; On-site; GBP 33,000 - 45,000; Full time

Job summary

University of Oxford's Visual Geometry Group in central Oxford is seeking two full-time Postdoctoral Research Assistants in Machine Learning to join two projects funded by Toyota Motor Europe and Amazon. You will work under Dr.

João Henriques on RoboSim and robotic manipulation, applying deep learning and reinforcement learning to real and simulated robots. Applicants should have a PhD (or near completion) in ML, CV, robotics, or related field, with a strong publication record and solid

Qualifications

• PhD (or near completion) in Machine Learning, Computer Vision, Robotics, or a related field.
• Strong publication record at leading international conferences in relevant areas.
• Research experience in reinforcement learning, computer vision or robotics desirable.

Responsibilities

• Carry out innovative research on machine learning for robotics in RoboSim and Amazon projects.
• Publish findings in top-tier conferences and journals.
• Collaborate with Oxford Robotics Institute and partner organisations; contribute to project milestones.

Skills

Deep Learning

Reinforcement Learning

Computer Vision

Robotics

Education

PhD in ML / CV / Robotics

Tools

Python

PyTorch

TensorFlow

Job description

Postdoctoral Research Assistant in Machine Learning

central Oxford

We are seeking two full-time Postdoctoral Research Assistants in Machine Learning to join the Visual Geometry Group (VGG), in central Oxford. The positions are associated with two separate research projects funded by Toyota Motor Europe and Amazon, respectively. Each successful candidate will be assigned to one of these projects and will work under the supervision of Dr. João Henriques. Both posts are available for 12 months in the first instance.

The Toyota Motor Europe project, RoboSim, involves research in deep learning, at the intersection of reinforcement learning and computer vision, to train effective robotic agents in simulation. The research will focus on developing robust visuomotor policies that can transfer to real robots, in collaboration with researchers at the Oxford Robotics Institute and Toyota Motor Europe.

The Amazon project involves research on robotic manipulation using computer vision and vision-language-action models. The research will investigate how representations of 3D geometry and motion can help robots manipulate a wide range of objects, including deformable objects, and generalise to new settings. The methods will be evaluated on robotic manipulation tasks, including experiments on real robots.

You should hold a relevant PhD/DPhil (or near completion*) in Machine Learning, Computer Vision, Robotics or a related field. You should have a strong publication record at leading international conferences in these areas, together with sufficient theoretical and practical knowledge of deep learning methodologies. Research experience in reinforcement learning, computer vision or robotics would be desirable.

For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/

* “Near completion” means that you must have submitted your PhD thesis.

The Department holds an Athena Swan Bronze Award, recognising its commitment to advancing gender equality and supporting an inclusive working environment.

Machine learning; Computer vision; Robotics; Reinforcement learning; Robotic manipulation