Connectionists: Fully funded PhD position in Network Science at RWTH Aachen University

Michael Schaub michael.schaub at rwth-aachen.de
Thu Jul 9 13:07:06 EDT 2020


Fully funded PhD position in Network Science at RWTH Aachen University


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.

 

[See https://michaelschaub.github.io/  for more information about our
research portfolio]

 

What we offer

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'.

 

You will do cutting-edge research, present your work at national and
international conferences and publish in leading journals and conferences.

You may supervise Bachelor and Master students working on related topics
and have a limited involvement in teaching.


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.

The starting date is as soon as possible, but later starting dates are
negotiable.

 

Your profile

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.

 

Application procedure

Your application should ideally include a brief cover letter, a CV,
transcripts, and contact information of at least two referees.


Please submit your application documents (as one PDF file) to
michael.schaub at rwth-aachen.de using the subject "PhD Position in Network
Science".

 

Application Deadline: July 31, 2020

(late application may be considered until positions are filled)

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