„Discovering Structure in Complex Data: Statistics meets Optimization and Inverse Problems"
(Speaker: Prof. Gerlind Plonka-Hoch) at the Georg-August-University Göttingen offers
positions for 7 Ph.D. candidates beginning on October 1st, 2018.
The salary is in accordance with the German public service salary scale (E13 TV-L) with
75% of the regular working hours (currently 29.85 hours per week) for up to three years.
The research projects in this RTG focus on new mathematical concepts for the efficient
reconstruction and classification of relevant structural information in data sets, without
reconstructing the entire information inherent in the data. Methodologically, specific emphasis
will be laid upon the interplay between approaches in statistics, optimization and inverse problems.
Requirements:
- A very good M.Sc.degree (or equivalent) in mathematics or a similar field;
- A strong background in one of the mathematical disciplines covered by the RTG
(inverse problems, optimization, mathematical statistics, data analysis, probability theory,
computational topology, mathematical signal and image processing);
- Proficiency in written and spoken English;
- Good programming skills are beneficial.
The University of Göttingen is an equal opportunities employer and places particular emphasis on fostering
career opportunities for women. Qualified women are therefore strongly encouraged to apply. The university
has committed itself to being a family-friendly institution. Applications from severely disabled persons with
equivalent qualifications will be given preference.
The job description can be found at http://www.uni-goettingen.de/de/305402.html?cid=100349.
Detailed information on the application process, the research projects and the PhD study program are
available at http://www.uni-goettingen.de/de/514290.html. Candidates are required to indicate up to
three preferred projects.
You find the online application platform here: https://lotus2.gwdg.de/uni/uzdv/perso/knr_100349.nsf
--
Prof. Dr. Anita Schöbel ! Tel: 0551-3912237
Institut für Numerische und !
Angewandte Mathematik !
Universität Göttingen !
Lotzestr. 16-18 ! http://optimierung.math.uni-goettingen.de
D - 37083 Göttingen ! e-mail: schoebel@math.uni-goettingen.de
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