Postdoctoral Research Scientist - Neuroscience

We are seeking 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 Wellcome Trust, and aims to develop closed-loop deep brain stimulation based on subcortical local field potentials recorded from human subjects for improving the treatment for essential tremor.

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 update the stimulation parameters. The post holder will be based in the Nuffield Department of Clinical Neurosciences in Oxford, working closely with neuroscientists, engineers, neurologists, neurosurgeons, as well as patients undergoing Deep Brain Stimulation.

The post holder’s key responsibilities include: Managing own academic research and administrative activities; co-ordination of multiple aspects of work to meet deadlines; exploring and refining different machine learning-based algorithms for decoding relevant information based on electrophysiological data recorded from humans; and developing software for running and analysing the experiments.

Candidates should hold a Ph.D. or equivalent qualification in neuroscience or a neuroscience-related or quantitative discipline (e.g. computer science, engineering, physics). Experience in recording and analysis of EEG/LFP and signal analysis is essential.

This is a full-time, fixed-term post until 31st December 2019. This is a University Grade 7 (07S) position with a starting salary of between £32,236 and £39,609 per annum.

Informal enquiries can be addressed to Dr Huiling Tan.

Applications must be made via the University of Oxford’s online recruitment system, using vacancy ID 137812

The closing date for applications is 12 midday UK time on Wednesday 21st November 2018.  Interviews will be held as soon as possible thereafter.

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