PhD Positions in Discovering Structure in Complex Data; Statistics Meets Optimization and Inverse Problems
Georg-August-University Goettingen
Germany

2 Ph.D. positions in Discovering Structure in Complex Data: Statistics Meets Optimization and Inverse Problems

Einrichtung: Research Training Group RTG 2088 (ID 100683)

Ansprechpartner: Ms. Sieber

Besetzungsdatum: ab sofort

Veröffentlichungsdatum: 27.04.2020

The Research Training Group RTG 2088 “Discovering Structure in Complex Data: Statistics Meets Optimization and Inverse Problems” (Speaker: Prof. Dr. Gerlind Plonka-Hoch) at the Georg-August University Göttingen offers

2 Ph.D. positions (all genders welcome)

for project B6 “Sparse adaptive multiscale representations of signals and images based on advanced exponential analysis methods” and B4 “Bayesian nonparametric adaptive estimation of Toeplitz covariance matrices” beginning as soon as possible for three years. 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).

Project B6 investigates connections between numerical schemes for exponential analysis (finite rate of innovation or Prony methods) and non-convex optimization algorithms, in the context of sparse approximation of signals. Signal analysis algorithms of this type are of high interest for reconstruction and sparse representation of signals and images.

In project B4 we investigate the covariance matrices of stationary processes. Thereby, we aim to employ a Bayesian framework and impose smoothness on the spectral density by an appropriate prior. The asymptotic properties of the resulting estimators are to be studied.

Detailed information about the RTG are available here: http://www.uni-goettingen.de/de/514290.html

Your profile:

- A very good M.Sc.degree (or equivalent) in mathematics;
- A strong background in Fourier Analysis, Harmonic Analysis, Mathematical Signal and Image Processing, or Bayesian Statistics;
- 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 in fields in which they are underrepresented. The university has committed itself to being a family-friendly institution and supports their employees in balancing work and family life.The mission of the University is to employ a greater number of severely disabled persons. Applications from severely disabled persons with equivalent qualifications will be given preference.

Please use our online portal https://lotus2.gwdg.de/uni/uzdv/perso/knr_100683.nsf for your application with the usual documents (motivation letter, CV, diplomas etc.).
Application deadline: 25.05.2020

If you have any questions, please contact Ms. Sieber, phone: +49 (0) 551 39 24523, e-mail: dsieber@gwdg.de.

Please note:

With submission of your application, you accept the processing of your applicant data in terms of data-protection law. Further information on the legal basis and data usage is provided in the Information General Data Protection Regulation (GDPR)


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