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<p class="MsoBodyText">The<strong> Medical Faculty in collaboration
with the Mathematics Department of the University of Münster, </strong>Germany,
offers two positions for a<br>
</p>
<h2 class="MsoBodyText" data-da-header="true" data-da-id="439"
data-da-next="440" data-da-prev="438" data-da-focused="false"
data-da-down="440" data-da-right="450" data-da-up="438">PhD
Student (gn*)<br>
Ref.: 05970</h2>
<h3 class="MsoBodyText" data-da-header="true" data-da-id="440"
data-da-next="441" data-da-prev="439" data-da-focused="false"
data-da-down="441" data-da-up="439">Part-Time (50%)<br>
(German salary grade: E 13 TV-L, conditional to previous
experience and qualifications)</h3>
<p class="MsoBodyText"><br>
*gn=gender neutral</p>
<p class="MsoBodyText">initially limited to 3 years, but extendable
to a fourth year, to work within the ERA Permed funded project <br>
</p>
<p class="MsoBodyText">”Personalised diagnosis and treatment for
refractory focal paediatric and adult epilepsy” (funding period
from 07/2021 to 06/2024), <br>
</p>
<p class="MsoBodyText">see page 13 in the ERA Permed newsletter</p>
<p class="Default"><a
href="https://www.erapermed.eu/wp-content/uploads/2021/01/Newsletter-ERA-PerMed_final.pdf"
target="_blank" data-da-link-item="true" data-da-id="441"
data-da-next="442" data-da-prev="440" data-da-focused="false"
data-da-down="442" data-da-up="440">www.erapermed.eu/wp-content/uploads/2021/01/Newsletter-ERA-PerMed_final.pdf</a></p>
<p class="Default">The applicants will contribute to the <strong>development,
evaluation and application of new EEG and MEG neuroimaging and
mc-tDCS simulation approaches based on realistic head volume
conductor models using modern hierarchical Bayesian inversion
and finite element forward methods as well as sensitivity
analysis. </strong>The new methods will be applied in close
collaboration with our clinical colleagues for improving
presurgical epilepsy diagnosis and therapy.</p>
<p class="Default">The two successful applicants hold a Master’s
degree (or equivalent) in a relevant academic area such as <strong>applied
mathematics, computer science, physics, biomedical or electrical
engineering or similar disciplines</strong>. Good programming
expertise (Matlab, C++, Python or equivalent) and experience with
the Linux operating system is expected, because large software
toolboxes are used and further developed. The working language at
the institute is English. Experience with targeted and optimized
brain stimulation and with the measurement and analysis of brain
signals is advantageous, but not essential. The applicant’s merits
are assessed on the basis of the quality of Master’s level studies
and thesis, previous experience with neuroimaging, numerical
mathematics, optimization, inverse problems, software development,
motivation and research interests as well as communication skills.</p>
<p class="Default">The location for this research will be the
workgroup of Prof. Dr. Carsten Wolters at the Institute for
Biomagnetism and Biosignalanalysis (IBB)
(<a class="moz-txt-link-freetext" href="https://www.medizin.uni-muenster.de/en/institut-fuer-biomagnetismus-und-biosignalanalyse/institute.html">https://www.medizin.uni-muenster.de/en/institut-fuer-biomagnetismus-und-biosignalanalyse/institute.html</a>).
The work will be in close cooperation with Prof. Dr. Christian
Engwer, Institute for Computational and Applied Mathematics, and
the epilepsy center Münster-Osnabrück (Dr. Gabriel Möddel, PD Dr.
Christoph Kellinghaus, PD Dr. Stjepana Kovac, PD Dr. Maryam
Khaleghi Ghadiri), all at the University of Münster in Germany.
Expected close collaborations and visits are to the PerEpi
partnering labs and further PerEpi regional collaborators.</p>
<p class="Default">The application should include a statement of
research interests and reasons for applying to the project, a
curriculum vitae (max. 3 pages) composed according to good
scientific practice, a certificate of the Master’s degree, copy of
the master’s thesis and grades of Master’s level studies, the
names and e-mail addresses of two referees and a proof of
proficiency in English. </p>
<p><strong>Please send your</strong> application including a short
summary of your research background (max. 1 page), CV and
publication list with reference number via email in one pdf-file
until <strong>02.06.2021</strong> to <a data-da-link-item="true"
data-da-id="442" data-da-next="443" data-da-prev="441"
data-da-focused="false" data-da-down="443" data-da-up="441">bewerbung(at)ukmuenster(dot)de</a>.</p>
<p>Applications of women are specifically invited. In the case of
similar qualifications, competence, and specific achievements,
women will be considered on preferential terms within the
framework of the legal possibilities. Handicapped candidates with
equivalent qualifications will be given preference.</p>
<p>The <strong>University Hospital of Münster</strong> is one of
the leading hospitals in Germany. Such a position cannot be
achieved by size and medical successes alone. The individual
commitment counts above all. We need your commitment so that even
with little things we can achieve great things for our patients.
There are many possibilities open for you so that you may develop
with them.</p>
<pre class="moz-signature" cols="72">--
Prof. Dr.rer.nat. Carsten H. Wolters
University of Münster
Institute for Biomagnetism and Biosignalanalysis
Malmedyweg 15
48149 Münster, Germany
Phone:
+49 (0)251 83 56904
+49 (0)251 83 56865 (secr.)
Fax:
+49 (0)251 83 56874
Email: <a class="moz-txt-link-abbreviated" href="mailto:carsten.wolters@uni-muenster.de">carsten.wolters@uni-muenster.de</a>
Web: <a class="moz-txt-link-freetext" href="https://campus.uni-muenster.de/biomag/das-institut/mitarbeiter/carsten-wolters/">https://campus.uni-muenster.de/biomag/das-institut/mitarbeiter/carsten-wolters/</a></pre>
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