EU/UK PhD studentships in Neuroinformatics and Computational Neuroscience

[James A. Bednar]

Second-round applications for fully-funded PhD studentships at the
University of Edinburgh Doctoral Training Centre (DTC) in
Neuroinformatics and Computational Neuroscience are now being
considered. The DTC is a world-class centre for research at the
interface between neuroscience and the engineering, computational, and
physical sciences.

Our four-year programme is ideal for students with strong
computational and analytical skills who want to employ cutting-edge
methodology to advance research in neuroscience and related fields, or
to apply ideas from neuroscience to computational problems. The first
year consists of courses in neuroscience and informatics, as well as
lab projects. This is followed by a three-year PhD project done in
collaboration with one of the many departments and institutes
affiliated with the DTC.


Current DTC PhD topics fall into five main areas:

* Computational neuroscience: Using analytical and computational
models, potentially supplemented with experiments, to gain
quantitative understanding of the nervous system. Many projects
focus on the development and function of sensory and motor systems
in animals, including neural coding, learning, and memory.

* Biomedical imaging algorithms and tools: Using advanced data
analysis techniques, such as machine learning and Bayesian
approaches, for imaging-based diagnosis and research.

* Cognitive science: Studying human cognitive processes and analysing
them in computational terms.

* Neuromorphic engineering: Using insights from neuroscience to help
build better hardware, such as neuromorphic VLSI circuits and robots
that perform robustly under natural conditions.

* Software systems and applications: Using discoveries from
neuroscience to develop software that can handle real-world data,
such as video, audio, or speech.


Other related areas of research are also encouraged. Edinburgh has a
large, world-class research community in these areas and leads the UK
in creating a coherent programme in neuroinformatics and computational
neuroscience. The University of Edinburgh was ranked 21st worldwide
in the latest QS World University Rankings, and the School of
Informatics is the largest and highest-ranked computing department in
the UK. Edinburgh has often been voted 'best place to live in
Britain', and has many exciting cultural and student activities.

Students with a strong background in computer science, mathematics,
physics, or engineering are particularly encouraged to apply. Highly
motivated students with other backgrounds will also be considered.

Studentships include a stipend of 14,385-17,782 UK pounds/year along
with research and travel costs. They are available to UK or other EU
citizens who have been residing in the UK for the past three years
(whether for work or for education); see our web site for full
details. Other applicants can be considered if they provide their own
funding, typically via a scholarship from their country of origin.

Applications are now being accepted for September 2013
entry. Applications must be complete by 30th March 2013 to receive
full consideration for the remaining studentships, and will be
considered for interviews in April.

Further information and application forms can be obtained from:
http://www.anc.ed.ac.uk/dtc

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The University of Edinburgh is a charitable body, registered in
Scotland, with registration number SC005336.

[Terry, John]

We seek to recruit two Research Fellows to work with Professor John Terry on an MRC Programme Grant: “Brain Networks in Epilepsy: Endophenotypes and Generative Models”. These posts form part of a large scale research effort involving collaborators at King’s College London and the Queensland Institute of Medical Research (Brisbane) and are available from July 1, 2013 or a mutually agreeable date thereafter, for an initial period of 3 years. You are encouraged to contact Professor Terry via email: J.T...@exeter.ac.uk<mailto:J.T...@exeter.ac.uk> prior to submitting an application.

The successful applicants will work on a multidisciplinary project involving the development of mathematical models, network analysis tools and methods for fusing models and data. Working closely with clinical scientists at King’s College London, developed methods will be applied to clinical data (including EEG, fMRI and DTI) collected from a very large sample of patients with epilepsy. These will be used to elucidate the fundamental mechanisms of seizure emergence and to predict treatment outcome.
The successful applicants will have experience in at least one of the following areas:

- - Constructing mathematical models of biological or neural systems;

- -Analysis of nonlinear and/or stochastic dynamical systems;

- -Numerical methods for analysing dynamical systems (e.g. bifurcation analysis and numerical continuation)

- -Analysis of complex networks or graph theory
Applicants should have a PhD in computational or mathematical biology, complex networks and graph theory, systems biology, computational neuroscience, nonlinear dynamical systems or a closely related discipline. It is further desirable that the candidate has experience of working in a multidisciplinary environment, ideally interacting with clinicians or experimental neuroscientists.

For further details and to apply please visit:

https://jobs.exeter.ac.uk/hrpr_webrecruitment/wrd/run/ETREC107GF.open?VACANCY_ID=3996127MDt&WVID=3817591jNg&LANG=USA


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John R. Terry
Professor of Biomedical Modelling
College of Engineering, Mathematics and Physical Sciences
University of Exeter
Exeter, Devon
EX4 4QF, UK
tel: +44 (0) 1392 725 274
email: j.t...@exeter.ac.uk<mailto:j.t...@exeter.ac.uk>
web: http://emps.exeter.ac.uk/mathematics/staff/jt354

[Krasi Tsaneva]

We seek to recruit a Research Fellow to undertake research into mathematical modelling and control of human social interactions. You will contribute to a joint venture between movement scientists from Montpellier 1 University in France, computer science experts from the DFKI centre (Germany), mathematicians from the University of Bristol (UK), roboticists from the Ecole Polytechnique Fédérale de Lausanne (CH), as well as clinicians, psychologists and psychiatrists from the Academic Hospital of Montpellier (CHRU, FR).
You will have an excellent background in mathematics and/or engineering, and should be committed to applying their research to make real artificial agents’ systems interacting with people in challenging circumstances. You will possess a relevant PhD and be able to demonstrate sufficient knowledge in mathematical modelling, numerical bifurcation analysis and feedback control design in order to work within the project. You are expected to produce reliable mathematical models; feedback control strategies and numerical algorithms that i) allow real-time adaptation of the coupled human-artificial agent dynamics based on feedback control techniques and ii) integrate all parts of the interactive cognitive architecture together.

For informal enquires please contact:

Dr KT Tsaneva-Atanasova, Reader in Applied Mathematics

Email: K.Tsaneva...@bristol.ac.uk

For further details and to apply please visit:

http://www.bris.ac.uk/jobs/find/list.html?keywords=&jobnum=ACAD100163&srcsubmit=Search&statlog=1&ID=Q50FK026203F3VBQBV7V77V83&mask=uobext&LG=UK


Dr Krasimira Tsaneva-Atanasova
Reader (Associate Professor) in Applied Mathematics
Department of Engineering Mathematics
University of Bristol
Queen's Building
Bristol BS8 1TR, UK

Phone: +44 (0)117 331-5603
Fax: +44 (0)117 331-5606