Applications are invited for a research fellow position in Dr. Jian Gan’s lab in the UK Dementia Research Institute at the University of Edinburgh, starting in Spring 2020 or thereafter. The position is full time and fixed term, with the possibility of extension.
We investigate real-time neurocircuit dynamics underlying network oscillations, cognition, and decision-making in vivo. With such knowledge, we sort to elaborate on what, where, when and how such dynamism goes wrong in disease conditions, e.g. dementia. We approach these questions by a combination of state-of-the-art methodologies in neuroscience, for instance in vivo patch-clamp recording, large-scale silicon probe recording, well-controlled quantitative behaviors in virtual reality and optogenetics.
Successful candidates will have a Ph.D. in neuroscience/physiology/pharmacology/psychology or related quantitative disciplines (e.g. computer science, engineering, mathematics, and physics) with a strong curiosity in neural circuits and animal models of neural diseases. Applicants should have either good experimental skills or strong computational/quantitative ability. Experience in electrophysiology or Ca2+ imaging in vivo, patch-clamp recording in vitro, stereotaxic surgery, behavioral training, and histology is highly desirable. Some proficiency in relevant programming languages (e.g. MATLAB, C++, Python, R) with regard to analyzing electrophysiological/imaging data or signal processing of neural networks is advantageous.
Edinburgh is the capital city of Scotland with a high quality of life, and itself a UNESCO World Heritage Site (1995) and City of Literature (2004). The University of Edinburgh has been consistently ranked within Top 30 in the world across various league tables. Successful candidates will integrate into the community of Edinburgh Neuroscience, ranked 3rd in the UK by REF2014 and one of the largest neuroscience groupings in Europe. Training/mentoring for career development, funding acquisition, and transferable skills will be strongly supported by the PI, institutionally and the UK DRI.
Please find Dr. Jian Gan’s biography and publications at https://orcid.org/0000-0002-0155-6241.
You can find Jian’s lab profile at https://ukdri.ac.uk/team/jian-gan.
To apply, please send your CV and a brief personal statement describing your interest to Dr. Jian Gan at Jian.Gan@ed.ac.uk.
Please mention that the information for this job was originally found on Scientifica's website when applying.
