Doctoral Researcher (PhD Student) (all genders welcome) (Research Training Group 2088) (ID 100959)

Updated: about 2 months ago

Einrichtung: Research Training Group 2088 (ID 100959)

Ansprechpartner: Diana Sieber

Besetzungsdatum: 01.02.2022

Veröffentlichungsdatum: 03.11.2021


The Research Training Group 2088 “Discovering Structure in Complex Data: Statistics Meets Optimization and Inverse Problems” at the University of Göttingen is looking for a

Doctoral Researcher (PhD Student)
at the interface of Image Processing and Spatial Stochastics (all genders welcome)

starting their work on February 1, 2022 or later for a period of 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).

About us:
At the RTG 2088, we develop new mathematical concepts for the efficient reconstruction and classification of relevant structural information in data sets. In doing so, we benefit from an interplay between approaches in statistics, optimization and inverse problems. We offer an interdisciplinary qualification program that equips our graduate students with a broad set of skills for analyzing data – also beyond the scientific scope of our RTG.

More information about the RTG 2088 is provided on our website: https://www.uni-goettingen.de/rtg2088 .

The position:
You will conduct research in project A2, which deals with extensions of Wasserstein dictionary learning using multiscale dictionaries based on graph structures. Major goals are denoising and sparse representation of images that have a certain geometric structure, such as images in seismology and biometrics.

Additionally, you will take part in our study program, which includes special lectures and seminars, our annual RTG workshop, regular meetings with other PhD students as well as with your thesis advisory committee, and a course on good scientific practice.

Your profile:
As a successful candidate, you
- hold an excellent or very good Master’s degree (or equivalent) in mathematics or physics,
- have strong interest in some combination of image processing, Wasserstein distances and spatial stochastics,
- are proficient in written and spoken English,
- have gained some relevant experience in programming (e.g., Python, R, C++).

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.

How to apply:
Please use our online portal https://lotus2.gwdg.de/uni/uzdv/perso/knr_100959.nsf for your application including the following documents:
- a motivation letter that states your interest in the research project,
- your curriculum vitae,
- your degree certificates.

Application deadline: 01.12.2021

If you have any questions, please contact Diana Sieber.
Phone: +49 (0) 551 39 24523 | Mail: d.sieber@math.uni-goettingen.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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