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: 
    Friday, March 31, 2017

    Applications are invited from UK or EU residents to join a multidisciplinary team of scientists developing a translational platform for closed-loop deep brain stimulation for the treatment of Alzheimer’s disease. The project will combine techniques in neurophysiology and electronic engineering. The studentship is available from the start of academic year 2017/18 for 3 years and will be supervised by Dr Andrew Sharott and Dr David Dupret at the MRC Brain Network Dynamics Unit at the University of Oxford (MRC BNDU) and by Dr Timothy Constandinou, Faculty of Engineering, Department of Electrical and Electronic Engineering, Imperial College London. You will be jointly hosted by the MRC BNDU and the EPSRC Centre for Doctoral Training in Neurotechnology (CDT) for Life and Health at Imperial College London, and you will be registered for a Ph.D. (D.Phil.) at the University of Oxford. For further details about the project, contact Dr Andrew Sharott (andrew.sharott@pharm.ox.ac.uk) or visit (www.imperial.ac.uk/neurotechnology/cdt).

    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, computer science, mathematics. 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 31st March 2017.

    The MRC BNDU operates over two sites at the University of Oxford (Department of Pharmacology and Nuffield Department of Clinical Neurosciences). It is uniquely multidisciplinary, integrating exceptional research programmes that span clinical, experimental and computational neuroscience. The collective aim of the MRC BNDU is to understand the moment-to-moment interactions between nerve cells that are critical for brain functions, and to exploit these to develop novel therapies for disorders of the brain. For more information, see http://www.mrcbndu.ox.ac.uk/

    The EPSRC Centre for Doctoral Training in Neurotechnology (CDT) for Life and Health at Imperial College London spans the Faculties of Engineering, Natural Sciences and Medicine at Imperial College, with investigators from thirteen departments including Bioengineering, Brain Sciences, Chemistry, Computing and Electrical and Electronic Engineering. The CDT is directed by Dr Simon Schultz, Prof Bill Wisden and Prof Paul Matthews. All research projects involve a team of supervisors, each of whom bring complementary expertise to the project. In addition to researchers from across Imperial College, the CDT involves twenty industry and charity partners, as well as satellite research groups at the Crick Institute, University College London and the University of Oxford.

    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
  • Closing Date: 
    Monday, April 24, 2017

    Applications are invited from UK or EU residents with a strong mathematical or computational background who wish to use their skills to understand how the brain works or how we can better treat neurological conditions.

    There is currently a huge potential of combining mathematical, computational and biomedical approaches to solve human health challenges. Within the last few decades, neuroscientists have gained detailed knowledge of the biology of the brain, and the time is ripe to create formal theories describing its functioning. Such theories would play a similar role as laws of physics, and would help to predict how to best restore normal information processing in patients affected by diseases.

    The doctoral studies in computational neuroscience would start in October 2017. The project will be supervised by Rafal Bogacz and will be carried out within the interdisciplinary team of the MRC Brain Network Dynamics Unit. The topic of research could range from developing a formal theory of information processing in the brain to applying machine learning to the data recorded from the brains of patients.

    Candidates must have a very strong mathematical or computational background and an excellent undergraduate degree in a relevant discipline (e.g. computer science, engineering, mathematics, physics or neuroscience). An undergraduate 1st class or upper 2nd class degree (or equivalent grade) is required for graduate entry to the University of Oxford. The minimum standards for English apply for applicants. This PhD (DPhil) studentship is funded by the Medical Research Council.

    Formal applications must be made via the University online application system. The relevant course code is: Doctor of Philosophy in Clinical Neurosciences – RD_CU1. In the covering letter, please describe the research you would like to conduct and clarify how your experience and skills would help you in that work. The closing date for applications is 12.00 noon on Monday 24th April 2017.

    Related Group: 

    HR Awards

    HR ExcellenceAS Bronze Award