The research group Data-Driven Operations Management at the Chair of
Logistics and Quantitative Methods at the University of Würzburg is
offering a part time (75%) or full-time position as
RESEARCH ASSISTANT (PHD STUDENT)
to be filled as soon as possible. The initial contract will be for a
period of three years, but can be extended to a maximum of six years.
Our research is dedicated to the development of novel models and methods
that exploit real-life (and oftentimes "big") data to improve decision
making in operations, logistics and supply chain management. In our
research projects we integrate traditional optimization methods with
state-of-the-art methods in machine learning and prescriptive analytics.
Our work is innovative and challenging from a theoretical viewpoint and,
at the same time, very relevant to practice — we work with leading
industry partners on a number of exciting and highly relevant projects.
We have a strong international focus and our team consists of
researchers with diverse backgrounds and skills. We are seeking
motivated and highly skilled individuals to become part of our young and
ambitious team.
YOUR PROFILE:
- You hold an undergraduate or graduate degree in a discipline with a
quantitative focus (e.g., mathematics, engineering, computer science or
physics), and obtained excellent grades.
- You are interested in contemporary research topics in data-driven
optimization, logistics and supply chain management.
- You have prior experience in using state-of-the-art tools in
optimization and/or statistical analysis (e.g., Python, R).
- Your English skills are excellent, both written and spoken.
- You have good interpersonal skills, are very motivated, and want to be
part of a very diverse and enthusiastic team.
YOUR WORK:
You will actively participate in the research of our group, including
projects with partners from academia and industry. Most importantly, you
will contribute to publications in scientific journals and thereby work
on your doctoral dissertation. We also expect you to support our
teaching activities within the university's graduate programs in
management.
WHAT YOU CAN EXPECT FROM US:
- You will work on challenging and innovative scientific questions in an
extraordinarily relevant subject area.
- You will be part of a very energetic team with excellent colleagues
and receive outstanding support from the entire research group and, in
particular, your doctoral advisor.
- You will benefit from our previous work with industry and have access
to a multitude of data-sets that are relevant for research.
- We will provide extensive financial support for your education, e.g.,
for attending international summer and winter schools, and participation
in international conferences.
Please send your application material to Prof. Dr. Richard Pibernik
(richard.pibernik@uni-wuerzburg.de).
**********************************************************
*
* Contributions to be spread via DMANET are submitted to
*
* DMANET@zpr.uni-koeln.de
*
* Replies to a message carried on DMANET should NOT be
* addressed to DMANET but to the original sender. The
* original sender, however, is invited to prepare an
* update of the replies received and to communicate it
* via DMANET.
*
* DISCRETE MATHEMATICS AND ALGORITHMS NETWORK (DMANET)
* http://www.zaik.uni-koeln.de/AFS/publications/dmanet/
*
**********************************************************
Posts
