[Comp-neuro] Method development for coupled EEG-fMRI (2x full EPSRC PhD studentships)
Etienne B. Roesch
etienne.roesch at gmail.com
Sat Jun 7 15:44:26 CEST 2014
Method development for coupled EEG-fMRI (2x full EPSRC PhD studentships)
The goal of the project is to develop novel methods for the joint
analysis of signals from electroencephalography (EEG) and functional
magnetic resonance imaging (fMRI), when they are obtained concurrently.
Technological advances of the last 10 years make it possible for
scientists to record both modalities concurrently, in what is now known
as coupled EEG-fMRI. By simultaneously recording these two modalities,
scientists can potentially say where and when neural activity is
occurring, whereas previously researchers had to settle for one or the
other. This engineering feat, however, has not yet been met with the
ability to make use of the combination of these signals to infer more
knowledge than would otherwise be gathered in separate experiments.
Filling this gap is the ambition of the present project.
This is a method project, which requires skills and knowledge in
neuroscience, applied mathematics/statistics/physics and programming.
Candidates who have a strong background in at least two of these three
fields are encouraged to apply, if they are enthusiastic about the
third. Two full studentships are available, and we expect to appoint one
candidate who is stronger in empirical work and a second who is stronger
in analytics. Candidates are expected to have had some prior exposure to
at least one of the two modalities, but will receive training in both.
The two students will be supervised by Dr. Etienne Roesch and receive
support from Dr. Michael Lindner and Prof. Tom Johnstone, with R&D
support from Brain Products, one of the world’s leading manufacturers of
MRI-compatible EEG systems. The group led by Dr. Roesch fosters
interdisciplinary thinking, and students will have the opportunity to
engage in ongoing empirical and modelling work related to perception and
action. The Centre for Integrative Neuroscience and Neurodynamics (CINN)
is host to a research-dedicated 3T Siemens TRIO, with a full license for
sequence development, and a full suite of MR-compatible systems.
Additionally, the students will be granted access to the cluster of
NVIDIA Tesla GPUs and other facilities at CINN, as well as at the Brain
Embodiments Laboratory, in the School of Systems Engineering.
The University of Reading is ranked as one of the UK’s 20 most
research-intensive universities and as one of the top 200 universities
in the world (Times Higher Education 2013). Our campus was voted first
in the Times Higher Education Student Experience survey and has a Green
Flag Award. It is situated 25 minutes West of London. Reading University
Students’ Union was voted the 6th best in the UK (National Student
Essentials: Commitment to academic research and personal development;
Ability to work collaboratively; Effective interpersonal and
communication skills, including writing to a high standard, document
preparation for technical notes and journal papers; Experience of work
in interdisciplinary settings; Attention to details.
Desirables: Self-guided work in developing statistical designs and
approaches in research; Creative approach to problem solving; Ability to
work independently; Experience in giving presentations and conveying
complex ideas clearly.
Eligibility: Applicants should hold a minimum of a UK Honours Degree at
2:1 level or equivalent in a relevant subject. Please note that due to
restrictions on the funding this studentship is for UK/EU applicants only.
Funding Details: Studentship will cover Home/EU Fees, pay the Research
Council minimum stipend (£13,863 in 2014/15) for up to 3 years and
include funding for international conferences.
How to apply: To apply for this studentship please submit an application
for a PhD in Cybernetics (full time) to the University – see
http://www.reading.ac.uk/Study/apply/pg-applicationform.aspx . In the
section ‘Research proposal’, please upload or copy-paste your covering
letter. When prompted as part of your online application, you should
provide details of the funding you are applying for, quoting the
Once you have submitted your application, you should receive an email to
confirm receipt of your online application. Please forward this email,
along with your covering letter and CV (as pdf), to Dr. Etienne B.
Roesch, e.b.roesch at reading.ac.uk, by the application deadline.
Application Deadline: Monday 14th July 2014 (interviews in August)
Further Enquiries: Please contact Dr. Etienne B. Roesch,
e.b.roesch at reading.ac.uk.
Dr. Etienne B. Roesch
Lecturer (Assistant Professor) in Cognitive Science
University of Reading, UK
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