英国剑桥大学电生理信号处理博士后研究员职位
英国剑桥大学电生理信号处理博士后研究员职位
Job Description
Research Associate (Fixed Term)
A position has become available for a postdoctoral research associate with a strong background in processing electrophysiological signals (LFP/EEG) in the Voon lab.
The candidate will focus on resting and task-based network connectomics. The appointed candidate must be proficient in programming with a background in engineering, physics, neuroscience or psychology. The candidate will be involved in analyses of existing neurophysiological data sets (local field potentials, EEG, sEEG). The candidate will have the opportunity to work on developing new studies and analysing and writing up existing studies. The candidate will work at the University of Cambridge and have the opportunity to work closely with collaborators in Shanghai, China, in neurosurgery, neuromodulation, imaging and machine learning. The candidate must be willing and able to travel. The University of Cambridge offers access to the international excellence of Wolfson Brain Imaging Centre with 3T (Siemens Prisma and Skyra) and 7T (Siemens Terra) MRI and PET-MR (GE) with additional departmental facilities for TMS and M/EEG and access to the University's high performance hub for informatics (HPHI) and advanced analytics. The candidate will have the opportunity to interact with an active neuroscience community in basic and clinical sciences.
Please include details of your referees, including email address and phone number, one of which must be your most recent line manager.
Please quote reference RN23733 on your application and in any correspondence about this vacancy.
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK.
Further information
Further Particulars
Department/Location
Department of Psychiatry
Salary
£32,816-£40,322
Reference
RN23733
Category
Research
Published
11 August 2020
Closing date
10 September 2020