[FieldTrip] PhD Position in Applied Mathematics (Source Analysis of Neuroelectric Signals), Trinity College Dublin, the University of Dublin, Ireland

[Bahman Nasseroleslami]

Dear all,

There is a PhD position available in the School of Mathematics, Trinity
College Dublin, the University of Dublin, Dublin, Ireland.
-------------------------------------------------------

PhD Position in Applied Mathematics

We are looking for a Ph.D. student in applied mathematics. The student
would be situated in the School of Mathematics at Trinity College Dublin
supervised by Professor Kirk M. Soodhalter. This project is in
collaboration with a biomedical engineering team focusing on
neurophysiology and neural signal analysis, based in the Academic Unit of
Neurology, Trinity College Dublin (led by Dr. Bahman Nasseroleslami), with
the biomedical statistics and multimodal signal processing unit, Department
of Neurology, Johannes-Gutenberg-University Hospital (led by Prof. Dr.-
Ing. M. Muthuraman). The overarching project is multidisciplinary and
focuses on the analysis of the brain activity and connectivity in health
and disease, but this Ph.D. position is focused on the mathematical
component and requires an applicant with a strong applied mathematical
background, with the goal of earning a Ph.D. in mathematics.
Duties: The Ph.D. student will work in collaboration to develop new
mathematical foundations to exploit the structures in the neural time
series (EEG) in order to develop efficient new iterative methods for
realistic mapping of the sensor-space EEG activity to the underlying brain
source.
The work involves the following tasks:
• Gain a full mathematical understanding of the existing (BEM/FEM) model of
the electrical conduction differential equations in 3D brain models
• To use iterative solution techniques to access the activity of the brain
sources that are typically less-accessible by the existing non-iterative
methods.
• To find new regularisation methods using penalty functionals that are
directly defined based on the brain’s neuroelectric behaviour
• Develop techniques to apply an inverse mapping on the data which
preserves important structural characteristics of the data
• Contribute to/produce peer-reviewed publications and open toolboxes for
EEG/MEG source analysis

The PhD studies at Trinity College are conducted over a 4-year period,
fulltime, and involve engagement with undergraduate tutorial delivery. This
position is open for EU citizens.

Qualifications: Eligible candidates for the position must have a Masters or
equivalent degree in mathematics. The candidate is expected to have a solid
background in applied mathematics with experience in numerical analysis,
numerical PDEs, integral equations, multivariate statistics/linear algebra,
and inverse problems. Having done a Masters thesis, bachelors project, or
other such work in inverse problems or a related field would be an asset,
and strong consideration will be given to such candidates.

Remuneration: €16,000 per annum plus Trinity EU student fees.

Entrance to position: preferably September 2019

For more information please contact: Kirk M. Soodhalter,
ksoodha at maths.tcd.ie.

Application: Application packages need to contain a CV, a letter of
motivation, copies of degree certificates, and relevant course transcripts
along with contact details of at least two academic referees. Mark your
application with the reference number #MathNeuro01. The candidate must
have, or soon receive, a degree that permits him/her to enter a Ph.D.
program. This might be a Masters degree, a "Diplome", an Honours Bachelor
or 4-year Bachelor, or equivalent. Candidates need to graduate before 1
September 2019. By the time of appointment, candidates will have shown
evidence of English language proficiency (test certificate).

Application Deadline: 30th April, 2019
-------------------------------------------------------
The detailed job description file (PDF) and the application instructions
can be found online at http://maths.tcd.ie/~ksoodha/phd2019.

It would be really appreciated if you could share this with those that may
be interested.

Sincerely
Bahman
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https://doi.org/10.1371/journal.pcbi.1002202