Postdoctoral Research Scientist in Neuroscience

Postdoctoral Research Scientist in Neuroscience

Closing Date: 
Wednesday, January 3, 2018

THIS IS A READVERTISEMENT. PREVIOUS APPLICANTS NEED NOT APPLY.

This is an exciting opportunity for a postdoctoral research scientist to make a substantial contribution to a multi-disciplinary research project led by Dr Huiling Tan. The project is funded by the Medical Research Council, and aims to develop and test the efficacy of novel brain-machine interface (BMI) systems based on subcortical local field potentials recorded from human subjects for the purpose of robotic control and neurofeedback training.

The project will involve collecting behavioural and electrophysiological data (EEG, LFP as well as EMG) from human subjects, analysing the brain signals in real-time to decode relevant information, and then using the information to drive an external actuator. This will also allow us to investigate the neural basis of the process of learning in BMI use in humans.

The post holder will be responsible for adapting existing and developing algorithms and protocols for real-time signal processing; developing software for running and analysing the experiments; preparing scientific reports, journal articles and representing the group at external meetings/conferences. The post holder will be based in the Experimental Neurology Group at the Nuffield Department of Clinical Neurosciences, working closely with neuroscientists, engineers, neurologists, neurosurgeons, as well as patients undergoing deep brain stimulation.

The successful applicant will hold or be close to completing a Ph.D. or equivalent in neuroscience or a quantitative discipline (e.g. engineering, physics). Essential skills include substantial experience in electrophysiological recordings (EEG, LFP) and signal analysis; proficiency in computer programming (e.g. Matlab, Python, C++) for real-time signal acquisition and processing; and good interpersonal, oral and written communication skills. Applicants should also be highly self-motivated; able to problem-solve and trouble-shoot technical difficulties; be attentive to detail and meticulous about record-keeping. Experience in modelling and machine learning methods and algorithms is also desirable.

This is a full-time, fixed-term post of 36 months in the first instance. This post is a University Grade 7 (07S) position with a starting salary of between £31,076 and £38,183 per annum (commensurate with experience).

Applications must be made via the University of Oxford’s online recruitment system, using Vacancy ID 132210.

The closing date for applications for this post is 12 midday UK time on Wednesday 3rd January 2018.

Interviews will be held shortly after the closing date.

 

“Committed to equality and valuing diversity”

Related Group: 

HR Awards

HR ExcellenceAS Bronze Award