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The University of Bremen is a mid-sized German university with 290 professorships and almost 20,000
enrolled students, offering a broad range of subjects and outstanding, internationally renowned
research. At the same time it provides a distinguished diversity management that realizes equal
opportunities and is a family-certified University. Within this highly attractive framework the following
DFG-funded Collaborative Research Center has been funded.
The Collaborative Research Center "Farbige Zustände" (SFB 1232)
"Von Farbigen Zuständen zu evolutionären Konstruktionswerkstoffen"
In connection with this SFB the University of Bremen offers the position for a
1 Full Post-Doc Position (100%TV-L 13)
starting at January1st, 2017 until June, 30
th
, 2020.
We invite highly motivated and outstanding researcher with a PhD degree in mathematics, statistics or
a related field, a sound background in statistical modelling and design of experiments, and with
interest in material and natural science applications.
The position is financed 50% by the SFB 1232 and 50% by the University of Bremen. Accordingly,
candidates are expected to contribute to the research of the SFB 1232 and other scientific projects, in
particular, the RTG 2224 3. A limited teaching obligation is affiliated with this position.
A group of internationally renowned researchers together with excellent funding provides unique
opportunities to develop your career in a vibrant scientific environment. The exceptional research idea
of SFB1232 is the development of a novel interdisciplinary high-throughput method for the
experimental exploration of structural materials. The RTG 2234 3 focuses on the development of
new mathematical methods for parameter identification with real industrial applications. Within this
challenging and interdisciplinary research field, the offered position covers the following subtopics:
· Advanced and high-dimensional statistical modelling
· Design of experiments in a high-dimensional, not necessarily linear, setting
· Modelling the relationship between process parameters and material properties in the
exploration of structural materials
· Organizing experimentation in cooperation with material scientists, computer scientists and
mathematicians
· Development of statistical (adaptive) designs for the evaluation of classification algorithms
Skills in one or more of these topics are required.
Further information on the SBF 1232 is available at: www.uni-bremen.de/sfb1232. Information on the
RTG 2224 3 can be found at www.math.uni-bremen.de/rtg-pi3.
In addition to the multidisciplinary research program the SFB1232 offers an educational program with
tailored scientific lectures, visiting scientist seminars, soft-skill workshops, summer schools, research
visits at international cooperation partners, special career development programs for women scientists
and an ongoing coaching of your scientific work. The RTG 2224 3 offers additional career
development opportunities.
The University of Bremen intends to further increase the share of women in academic employment;
women are explicitly encouraged to apply. Applicants with a migratory background and international
applications are highly welcome.
Disabled candidates will receive preferred consideration over equally qualified contenders.
The time limitation is based on § 2 (1) WissZeitVG (Wissenschaftszeitvertragsgesetz, i.e. temporary
science employment act). Therefore, candidates may only be considered who dispose of the
respective scope of qualification periods according to § 2 (1) WissZeitVG.
The position will remain open until filled. The review process will begin immediately.
Please send your application which includes A) a motivation letter reasoning your interest for this
research B) a full CV (max. 2 pages) including contact details of 2 references, C) copies of university
certificates incl. transcripts and D) a brief summary of your thesis and previous research projects
(max. 2 pages) under the reference number A187/16 best until 31.10.2016 to:
University of Bremen,
Fachbereich Mathematik/Informatik
attn: Prof. Dr. Werner Brannath
Linzer Str. 4
D-28359 Bremen, Germany
or by E-Mail: brannath@math.uni-bremen.de in one single electronic PDF-file.
A187_Post_Doc_Brannath A187_Post_Doc_Brannath cocs FreePDF 4.14 - http://shbox.de GPL Ghostscript 9.04 Mon Oct 10 15:17:57 2016 Mon Oct 10 15:17:57 2016 no 2 no 595 x 842 pts (A4) 31395 bytes no 1.7
Wissenschaftliche/r Mitarbeiter/in, Post Doc - Kennziffer A187/16
Wissenschaftliche/r Mitarbeiter/in, Post Doc - Kennziffer A187/16


 



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