<html>
<head>
<meta http-equiv="content-type" content="text/html; charset=UTF-8">
</head>
<body>
<p style="margin:0in;font-family:Calibri;font-size:12.0pt"><span
style="font-weight:bold">Fully funded PhD position in Network
Science at RWTH
Aachen University</span></p>
<p style="margin:0in;font-family:Calibri;font-size:12.0pt"><span
style="font-weight:bold"><br>
</span></p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt">The newly
established Computational Network Science group at RWTH Aachen,
headed by
Michael Schaub, focusses on analyzing complex networks and graph
data using a
blend of tools from control theory, dynamical systems, stochastic
processes,
machine learning and statistics. Our research combines ‘bottom-up’
dynamical
models, and ‘top-down’ data-driven approaches to understand a
variety of
systems, ranging from social to biological networks.</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"> </p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt">[See <a
href="https://michaelschaub.github.io/">https://michaelschaub.github.io/</a><span
style="mso-spacerun:yes"> </span>for more information about
our research
portfolio]</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"> </p>
<p style="margin:0in;font-family:Calibri;font-size:12.0pt"><span
style="font-weight:bold">What we offer</span></p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt">Supported
by the NRW
return program, valued at 1.25 Mio Euro, we are offering a number
of PhD
positions within the area of 'learning from data on networks with
uncertainty'.</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"> </p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt">You will
do
cutting-edge research, present your work at national and
international
conferences and publish in leading journals and conferences. <br>
</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt">You may
supervise Bachelor and
Master students working on related topics and have a limited
involvement in
teaching. <br>
</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"><br>
</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt">Successful
candidates will be employed as a regular employee with a
full time position initially for 1 year, with an anticipated
extension for 3 or
more year, based upon successful completion of the initial period.
<br>
</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt">The
starting
date is as soon as possible, but later starting dates are
negotiable.</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"> </p>
<p style="margin:0in;font-family:Calibri;font-size:12.0pt"><span
style="font-weight:bold">Your profile</span></p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt">As an
ideal
candidate, you will have strong mathematical and analytical skills
and a degree
in Computer Science or a related discipline such as Statistics,
Applied
Mathematics, or Operations Research. You have a genuine interest
in graph
analysis & network science and have good programming and
computational
skills and you are able to implement and test your ideas with
code. You are an
ambitious team-player, eager and able to (co-)supervise
undergraduate students
and take an important role in research projects. You have
excellent
communicative skills. </p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"> </p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"><span
style="font-weight:bold">Application procedure</span></p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt">Your
application
should ideally include a brief cover letter, a CV, transcripts,
and contact information of at least two referees. <br>
</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"><br>
</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt">Please
submit
your application documents (as one PDF file) to
<a class="moz-txt-link-abbreviated" href="mailto:michael.schaub@rwth-aachen.de">michael.schaub@rwth-aachen.de</a> using the subject "PhD Position in
Network Science".<br>
</p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"> </p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt"><span
style="font-weight:bold;font-style:italic">Application Deadline:
July 31, 2020</span></p>
<p style="margin:0in;font-family:Calibri;font-size:11.0pt">(late
application
may be considered until positions are filled)</p>
</body>
</html>