Postdoctoral Research Assistant in Mobile Robotics

University of Oxford; Oxford; On-site; GBP 35,000 - 55,000; Full time

Job summary

A leading university in the UK is seeking a researcher to conduct investigations in robotics, focusing on perception, learning, and navigation. You will advance localisations and scene understanding methodologies, aiding in practical applications such as logistics and agriculture. Candidates must have a PhD or be near completion in related fields and possess strong skills in deep learning and Python.

Qualifications

• PhD in robotics, robot learning, or a closely related field, or near completion.
• Strong expertise in deep learning and robot navigation.
• Hands-on experience deploying navigation algorithms and machine learning models on physical robot platforms.

Responsibilities

• Conduct research at the intersection of perception, learning, and navigation.
• Advance the state of the art in localisation and scene understanding.
• Work across core methods and application domains.

Skills

Deep learning

Robot navigation

Python

Education

PhD in robotics or closely related field

Job description

Overview

You will conduct research at the intersection of perception, learning, and navigation to enable robust robot autonomy in complex, real-world environments. The post sits within our EPSRC Programme Grant in Embodied Intelligence and will advance the state of the art in localisation and scene understanding under challenging conditions. The work spans core methods, research and system-level deployment, with application domains including logistics, agriculture, social care, and inspection.

Responsibilities

• Conduct research at the intersection of perception, learning, and navigation to enable robust robot autonomy in complex, real-world environments.
• Advance the state of the art in localisation and scene understanding under challenging conditions.
• Work across core methods, research and system-level deployment, with application domains including logistics, agriculture, social care, and inspection.

Qualifications

• PhD in robotics, robot learning, or a closely related field, or near completion.
• Strong expertise in deep learning and robot navigation, with hands-on experience deploying navigation algorithms and machine learning models on physical robot platforms.
• Interest in generative AI and curriculum learning applied to robotics, as well as understanding and leveraging internal representations in deep-learning models, and in dataset design and curation for embodied tasks.
• Solid publication record, conversant with the relevant literature, and proficient in Python and common ML frameworks.

Department of Engineering Science, Parks Road, Oxford, OX1 3PJ