Vacancies and Studentships

The MRC Brain Network Dynamics Unit provides an exceptional training and mentoring environment for students, postdoctoral researchers, academic clinicians and visiting scientists at all career levels and from all over the world. The MRC BNDU is an outward-looking and international community.

  • Closing Date: 
    Wednesday, December 6, 2017

    We are seeking a Postdoctoral Neuroscientist to develop, execute and analyse electrophysiological and behavioural experiments in rodents, as part of a scientific programme designed to investigate neuronal dynamics of multi-brain circuit assemblies during the expression of memory-guided appetitive behaviour.

    Candidates should hold a Ph.D. in Neuroscience, and demonstrate clear expertise and a promising track record in the field of in vivo network physiology, neuronal assemblies and memory processes. Candidates must have advanced technical expertise in programming (C, Python, R or Matlab) and multivariate data analysis.

    The post holder will be part of the Dupret Group based on the main site of the MRC Brain Network Dynamics Unit at the Department of Pharmacology. The Group uses a multidisciplinary approach to elucidate how temporal coordination of cortical and subcortical activity relates to the encoding, consolidation and recall of memories as well as the expression of memory-guided behaviour. The Group combines electrophysiological techniques with optogenetic techniques and closed-loop systems to infer causality, where possible.

    This full-time post is open ended (subject to renewal of external funding from the Medical Research Council on 1st April 2020), with an initial probationary period, to start 12th March 2018 or as soon as possible thereafter. This post is a University Grade 07S position with a starting salary of between £31,604 and £38,833 per annum. Owing to the nature of this position, any offer of employment with the University will be subject to a satisfactory security screening.

    Informal enquiries can be addressed to Dr David Dupret.

    Applications must be made via the University of Oxford’s online recruitment system, using Vacancy ID 132226.

    The closing date for applications for this post is 12 midday UK time on Wednesday 6th December 2017.

    Interviews will be held on Thursday 14th December 2017.

     

     “Committed to equality and valuing diversity”

    Related Group: 

    HR Awards

    HR ExcellenceAS Bronze Award
  • 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
  • Closing Date: 
    Friday, January 12, 2018

    Applications are invited from UK or EU residents to join a multidisciplinary team of scientists studying the principles of operation of the basal ganglia and their partner brain circuits in both health and disease. The studentship is available from the start of academic year 2018/19 for 3 years and will be supervised by Professor Peter J. Magill at the MRC Brain Network Dynamics Unit at the University of Oxford. The overall aim of the studentship project is to define the cellular mechanisms of neuronal circuit function and animal behaviour, and will involve the use of electrophysiological, anatomical, optogenetic, behavioural and/or advanced computational/statistical techniques. For further details about the project, contact Professor Peter Magill (peter.magill@pharm.ox.ac.uk) or see the Magill Group page.

    Interested candidates should possess, or expect to receive, a 1st class or upper 2nd class degree (or equivalent) in a related scientific discipline, e.g. biological or physical sciences, medicine, computer science, mathematics. Previous experience in neuroscience research is essential. To apply, please send a full curriculum vitae, names and full contact details of two referees, and a covering letter indicating why you are interested in and suited to this project to Mrs Savita Anderson (savita.anderson@pharm.ox.ac.uk) by 12.00 noon on Friday 12th January 2018.

    This Ph.D. (D.Phil.) studentship is funded by the Medical Research Council. To be eligible for a full award (stipend in addition to university/college fees) a student must have settled status in the UK, and must have been ‘ordinarily resident’ in the UK for three years prior to the start of the studentship. For further details about student eligibility requirements for full and fees-only awards, please see: http://www.mrc.ac.uk/skills-careers/studentships/studentship-guidance/student-eligibility-requirements

    Successful candidates also require acceptance by the University of Oxford (Department of Pharmacology, Course Code RD_PH1), so please refer to the University of Oxford Graduate Students pages for guidance on the subsequent online University application process and the minimum English language requirements: (http://www.ox.ac.uk/admissions/postgraduate_courses/apply/application_guide/).

    Related Group: 

    HR Awards

    HR ExcellenceAS Bronze Award