ABOUT US

Applications are invited for a Research Assistant position in Dr Daniel Bush’s Lab within the Department of Neuroscience, Physiology and Pharmacology at UCL. You will join a team that uses invasive and non-invasive electrophysiology in humans and rodents alongside computational modelling to investigate the neural mechanisms of spatial cognition and long-term memory function. The main purpose of the position is to collect, manage, and analyse behavioural data from rodents completing spatial memory tasks in 2d virtual-reality environments. The postholder will also be expected to attend journal clubs, lab meetings, and relevant internal research seminars, to stay abreast of the latest relevant advances in this field. In future, the successful candidate may also assist with neuropixels recordings from the hippocampus, medial entorhinal cortex and related brain regions while rodents complete these behavioural paradigms. Finally, the successful individual will also contribute to any manuscripts or conference submissions that arise from these experiments. The post is available until 30th June 2026 in the first instance.

ABOUT YOU

Further particulars, including a job description and person specification, can be accessed at the bottom of this page. Please ensure you read these carefully before applying for the post. To apply for the vacancy please click on the ‘Apply Now’ button below. For informal enquiries about the post please contact Dr Daniel Bush at d.bush@ucl.ac.uk. If you have any queries regarding the application process, please contact Biosciences staffing on biosciences.staffing@ucl.ac.uk quoting the vacancy reference number:

You must have an MSc or equivalent degree in a relevant subject area such as neuroscience, psychology, biotechnology, or natural sciences; a UK home office personal licence for animal research; experience of managing rodent behavioural experiments, preferably involving virtual-reality; knowledge of the contemporary systems and computational neuroscience literature relating to mammalian spatial cognition; a working knowledge of scientific programming in Python or Matlab; and a strong understanding of statistical analysis, as implemented in R, GraphPad Prism, or related software packages.