14163 - Research Associate

14163 - Research Associate

Full-Time 49798 - 49798 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Conduct groundbreaking research in AI and robotics, focusing on spatial perception and decision-making.
  • Company: Join the prestigious University of Edinburgh's School of Informatics.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Collaborative environment with chances to mentor students and publish research.
  • Why this job: Make a real impact in the exciting field of Embodied AI and Spatial AI.
  • Qualifications: PhD or nearing completion in AI, robotics, or related fields required.

The predicted salary is between 49798 - 49798 £ per year.

Grade UE07: £41,885 to £49,798 per annum

School of Informatics / College of Science and Engineering

Full-Time 35 hours per week

24 months fixed term contract

The Opportunity:

We are seeking a motivated Postdoctoral Research Associate to advance research in Embodied AI and Spatial AI at the School of Informatics, The University of Edinburgh. The position is part of a new research programme led by Dr Liang Zhao, developing AI systems that can perceive, understand, reason about, and act within three-dimensional environments.

The successful candidate will have a PhD (or be close to completing one) in artificial intelligence, robotics, computer vision, machine learning, or a closely related field. They will undertake original research connecting spatial perception and understanding with embodied decision-making and action, developing methods that enable intelligent agents to learn from and interact with the physical world.

We welcome candidates whose research interests align with one or more of the following topics:

  • Spatial intelligence, 3D scene understanding, and spatial reasoning.
  • Embodied perception, mapping, and navigation.
  • Multimodal foundation models and vision-language-action models.
  • World models for prediction, planning, and action.
  • Learning from interaction, demonstration, and reinforcement.
  • Generalisation and adaptation across tasks and environments.

Applicants should demonstrate a strong research track record appropriate to their career stage, strong technical skills, and the ability to work both independently and collaboratively. The successful candidate will contribute to shaping the research programme, publish in leading venues, and collaborate with researchers across AI and robotics, with opportunities to support the supervision and mentoring of student research projects.

This post is full-time (35 hours per week); however, we are open to considering part-time or flexible working patterns. We are also open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working. The team currently operates a 100%, i.e. 5 days, on-campus working arrangement which has been agreed by the line manager.

14163 - Research Associate employer: The University of Edinburgh

The University of Edinburgh offers a dynamic and supportive work environment for the Epigenetics Research Technician role, fostering collaboration and innovation in the field of biological sciences. With access to cutting-edge facilities and a commitment to employee development, staff are encouraged to grow their skills and advance their careers while contributing to impactful research projects. Located in the vibrant city of Edinburgh, employees enjoy a rich cultural experience alongside their professional journey.

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Contact Details:

The University of Edinburgh Recruitment Team

We think you need these skills to ace 14163 - Research Associate

Artificial Intelligence
Robotics
Computer Vision
Machine Learning
Spatial Intelligence
3D Scene Understanding
Spatial Reasoning