PhD Positions in Data Science Graduate School in Hamburg

Dear Colleagues,

the DASHH, Data Science in Hamburg Helmholtz Graduate School, has
several openings for PhD Students working in data science on very
diverse topics. Please see below for the details and forward this call
for PhD Student applications to whoever may be interested.

Thank you in advance,
best wishes,
Kerstin Borras

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Prof. Dr. Kerstin Borras
DESY & RWTH Aachen University
Kerstin.Borras@desy.de
mobile: +49-40-8998-(9)-4488
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DASHH is a recently established, interdisciplinary graduate school that
offers challenging Ph.D. topics at the interface of the natural
sciences, applied mathematics and data and computer science. DASHH
involves several research institutions and universities in the
multifaceted city of Hamburg, Germany.

DASHH is looking for excellent and highly qualified Ph.D. candidates,
interested to work on data-driven research in physics, chemistry,
applied mathematics, computer science or structural biology.

We offer:
– Interdisciplinary research in the natural sciences and
computer/data science or applied mathematics
– Research at world leading large-scale research facilities
(PETRA III, FLASH, European XFEL, LHC)
– Attractive, interdisciplinary thesis topics
– Excellent working conditions at an international, vibrant and
inspiring research campus
– Close supervision and support by a panel of established professors
and scientists
– Training in transferable skills and career development
– Work contract at the level of the German TV-L13 (100%) salary scheme
for 3 year

Apply until December 1, 2019

Requirements:
We are looking for highly motivated students with an excellent academic background in the natural sciences, engineering sciences, informatics or applied mathematics. The candidates should bring a strong interest to work on highly interdisciplinary topics, should be team oriented and have a strong background in programming.

For more information about DASHH see: https://www.dashh.org
and for the offered topics:
https://www.dashh.org/application/phd_topics/index_eng.html