Postdoctoral Research Fellow
Posted 05 Oct 2018
UK Dementia Research Institute, University College London
London, England, U.K.
Apply for this post through UCL's online recruitment, www.ucl.ac.uk/hr/jobs, where you can download a job description and person specification using ref: 1754736.
For queries regarding the application process, please contact Elizabeth Bertram, HR Manager, UCL Queen Square Institute of Neurology, 23 Queen Square, London, WC1N 3BG (email: email@example.com).
For informal enquiries about the role, please contact Dr. Marc Aurel Busche (email: firstname.lastname@example.org).
The Busche lab focuses on one of the central mysteries of Alzheimer's neurobiology: the cellular causes of the progressive loss of memory and other cognitive abilities seen in Alzheimer's patients. The Busche lab approaches this by studying disease-relevant mouse models using a variety of cutting-edge techniques including, but not limited to, in vivo two-photon calcium imaging of large neuronal ensembles, in vivo electrophysiology, anatomical mapping, in vivo mesoscopic imaging of large-scale networks as well as behavioral and biochemical assays. A Research Fellow is sought to carry out ground breaking work to elucidate the functional consequences of the complex interactions among amyloid and tau, the major pathologies in the Alzheimer brain, with the aim of developing rational treatment hypotheses to be tested in the clinic.
The post is available immediately and is funded for a period of three years in the first instance by a grant from DRI@UCL. Starting salary on UCL Grade 7 in the range £35,328–£42,701 per annum (including London Allowance).
Applicants must have a Ph.D. or equivalent in neuroscience or a neuroscience-related or quantitative discipline (e.g., physics, engineering), and experience with in vivo two-photon calcium imaging and related surgical approaches, proficiency in relevant programming languages (MATLAB, Python, other), especially with regard to analyzing imaging and/or electrophysiological data, and knowledge of statistical analysis methods.
Excellent oral and written communication and interpersonal skills, a track record of writing and publishing high-quality scientific articles, and an aptitude for proactive and creative independent thought are also required.