[Jobs] Multiple Postdoc & PhD Positions in Robot Learning For Scientific Discovery –  University of Liverpool, UK

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gabriell...@gmail.com

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May 18, 2026, 10:51:22 PM (8 days ago) May 18
to Women in Machine Learning

Dear Colleagues,

We are seeking researchers (Postdocs and PhDs) who are excited to push the boundaries of robotics in scientific discovery!

Our research focuses on robot learning for laboratory automation, with a particular focus on the challenges within chemistry labs. We aim to advance autonomous chemistry labs through collaborative, adaptive robotic systems that work in physical labs under real-world uncertainty, capable of working seamlessly alongside human scientists to accelerate scientific discovery.

We are particularly looking for candidates interested in:

  • End-to-End Experiment Resilience: Developing fundamental robotic methods that allow autonomous chemists to sequence learned skills and dynamically adapt workflows in the face of hardware failures, environmental shifts, or changing chemical protocols.

  • Robot Skill Learning: Advancing robust skill acquisition and representation for complex manipulation tasks required in experimental chemistry.

  • Simulation Frameworks: Developing high-fidelity laboratory simulation environments to accelerate training and bridge the sim-to-real gap in lab automation.

  • Safe Human-Robot Collaboration: Designing embodied AI systems capable of safe collaboration with human scientists in shared laboratory spaces.

Successful candidates will contribute to major, well-funded research initiatives within the UK's flagship AI hub in chemistry (AIchemy) network:

  • AIchemy's Frontier Fund Grant on Human-AI Teaming in Chemistry: (https://www.youtube.com/watch?v=bTR4rWicdRc)

  • EPSRC Centre-to-Centre Grant: Postdocs will have the opportunity to collaborate on a major international project on asynchronous AI-led optimisation, working closely with Imperial College London and the Acceleration Consortium.

  • Cross-Institutional PhD Programs: The PhD student will benefit from joint supervision and collaboration through a University of Liverpool and University of Edinburgh partnership focusing on robotic resilience.

You will be part of a world-class research and innovation community at the University of Liverpool and the broader AIchemy hub, including:

We are looking for candidates with a strong background in Robotics, Robot Learning, AI/Machine Learning, or related areas (no prior chemistry background is required for these roles!).

  • Technical Skills: Proficiency in Python, PyTorch, ROS, and C++ is expected.

  • Experience: Prior work with robot learning, simulation frameworks, or real robot hardware is desirable.

Please review the specific role requirements and apply directly through the links below (or via https://aichemy.ac.uk/careers/):

I will also be at ICRA 2026 and would be very happy to have informal chats with prospective candidates to discuss how your research interests align with our lab! 🙂

Kind regards,

Gabriella


Dr Gabriella Pizzuto
Royal Academy of Engineering Research Fellow
Lecturer in Robotics and Chemistry Automation
School of Computer Science and Informatics (AI Subject Group)
Department of Chemistry
University of Liverpool
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