- Vacancy Reference Number
- 8844
- Closing Date
- 24 Nov 2023
- Salary
- UE07: £37,099 - £44,263 per annum
- Address
- Chancellor’s Building
49 Little France Crescent
Edinburgh, EH16 4SB
- Duration
- 2 years with possibility to extend
UE07: £37,099 pa - £44,263 pa
CMVM/Edinburgh Medical School/Deanery of Biomedical Sciences/Centre Discovery Brain Sciences/UK Dementia Research Institute
Fixed-Term for two years, with possible extension up to 5 years
Full-time, 35 hours per week
Job Identification: 8844
We are looking for a Postdoctoral Research Fellow to join Dr Jian Gan’s lab at the UK Dementia Research Institute, Centre for Discovery Brain Sciences.
The Opportunity:
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, in vivo two-photon Ca2+ imaging, quantitative behaviours in virtual reality, and optogenetics. Potential projects will be in close collaboration with e.g. Dr Axel Montagne, Dr Barry McColl, and Prof. Giles Hardingham in the UKDRI centre, addressing how neural circuitry responds to manipulations of non-neuronal cells in healthy behaviour and disease conditions.
Your skills and attributes for success:
• Ph.D. in neuroscience/physiology/pharmacology/psychology or related quantitative disciplines (e.g. computer science, engineering, mathematics, and physics).
• a strong curiosity in neural circuits and animal models of neural diseases.
• Experience in electrophysiology or Ca2+ imaging in vivo or patch-clamp recording in vitro is highly desirable.
• Either good experimental skills or strong computational/quantitative ability.
• Some proficiency in relevant programming languages (e.g. MATLAB, C++, Python, R) with regard to analysing electrophysiological or two-photon Ca2+ imaging data or signal processing of neural networks is advantageous.
For informal inquiries please address to Dr. Jian Gan at Jian.Gan@ed.ac.uk
Formal applications please go to:
https://elxw.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/8844
Further Information
https://ukdri.ac.uk/team/jian-gan
https://discovery-brain-sciences.ed.ac.uk/our-staff/research-groups/jian-gan
Contact Details
Dr Jian Gan
jian.gan@ed.ac.uk
