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Position: Ph.D. position (all genders welcome)
Institution: Georg-August-Universität Göttingen
Department: Institute for Numerical and Applied Mathematics Coordination Office
Location: Göttingen, Niedersachsen, Germany
Duties: Research Training Group RTG 2088 “Discovering Structure in Complex Data: Statistics Meets Optimization and Inverse Problems” (Speaker: Prof. Dr. Gerlind Plonka-Hoch), for project B6 “Sparse adaptive multiscale representations of signals and images based on advanced exponential analysis methods”. This project 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 within a large (but finite) dictionary
Requirements: A very good M.Sc.degree (or equivalent) in mathematics; A strong background in Fourier Analysis, Harmonic Analysis, Mathematical Signal and Image Processing; Proficiency in written and spoken English; Good programming skills are beneficial
   
Text: Ph.D. position (all genders welcome) Einrichtung: Institute for Numerical and Applied Mathematics Coordination Office (ID 100658) Ansprechpartner: Ms. Sieber Besetzungsdatum: 01.04.2020 Veröffentlichungsdatum: 07.02.2020 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 a Ph.D. position (all genders welcome) for project B6 “Sparse adaptive multiscale representations of signals and images based on advanced exponential analysis methods” beginning on April 01, 2020 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). This project 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 within a large (but finite) dictionary. Further, it aims to establish a new adaptive wavelet-like transform that permits arbitrary real translations at each scaling level. For approximation of a given function, suitable “active” translates are obtained adaptively via an exponential analysis approach. In 2D, directionality is ensured using window functions with restricted support in the frequency domain. Decomposition algorithms of this type are of high interest in signal analysis and sparse representation of images as arises, for instance, in MRI. Detailed information about the RTG are available here: http://www.uni-goettingen.de/de/514290.html Candidates should fulfill the following requirements: • A very good M.Sc.degree (or equivalent) in mathematics; • A strong background in Fourier Analysis, Harmonic Analysis, 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 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_100658.nsf for your application with the usual documents (motivation letter, CV, diplomas etc.). Application deadline: 21.02.2020. 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) Stellensuche Suchen Alle anzeigen Wir weisen darauf hin, dass die Einreichung der Bewerbung eine datenschutzrechtliche Einwilligung in die Verarbeitung Ihrer Bewerberdaten durch uns darstellt. Näheres zur Rechtsgrundlage und Datenverwendung finden Sie im Hinweisblatt zur Datenschutzgrundverordnung (DSGVO) . Kontakt für Anzeigenschaltung Vera Müffeler Postfach 3744 (Gosslerstr. 5 - 7) 37027 Göttingen (37073 Göttingen) Tel. 49 551 39-24213 Fax 49 551 39-1824213 anzeigen@zvw.uni-goettingen.de
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