The research projects in this RTG "Discovering Structure in Complex Data: Statistics Meets Optimization and Inverse Problems" 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
An excellent Master’s degree or equivalent qualification, followed by a doctorate in mathematics with a strong publication record; A strong background in one of the mathematical disciplines covered by the RTG; Very good English skills (written and spoken); Willingness to work in interdisciplinary teams; Good programming skills are beneficial
PostDoc Position (all genders welcome) Einrichtung: Research Training Group RTG 2088 (ID 100676) Ansprechpartner: Ms. Sieber Besetzungsdatum: ab sofort Veröffentlichungsdatum: 04.03.2020 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 PostDoc Position (all genders welcome) as soon as possible for three years. The salary is in accordance with the German public service salary scale (E13 TV-L) with 100% of the regular working hours (currently 39.8 hours per week). 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. One of the guiding principles of this RTG consists of discovering and rigorously exploiting structural a priori information in order to obtain the desired information. Methodically, specific emphasis is laid upon the interplay between approaches in statistics, optimization, and inverse problems. Most of the proposed PhD projects in the RTG arise from signal or image processing applications in biology, medicine or engineering. For more information about our RTG, please check out our website: http://www.uni-goettingen.de/de/514290.html We are looking for postdocs who have strong expertise related to at least one of the fields inverse problems, optimization, mathematical statistics, data analysis, probability theory, computational topology or mathematical signal and image processing, but showing considerable breadth in her/his previous research and a willingness to explore new topics. Candidates should fulfill the following requirements: - An excellent Master’s degree or equivalent qualification, followed by a doctorate in mathematics with a strong publication record; - A strong background in one of the mathematical disciplines covered by the RTG; - Very good English skills (written and spoken); - Willingness to work in interdisciplinary teams; - 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_100676.nsf for your application with the usual documents (motivation letter, CV, diplomas etc.). Application deadline: 01.04.2020 If you have any questions, please contact Ms. Sieber, phone: 49 (0) 551 39 24523, e-mail: firstname.lastname@example.org . 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 email@example.com
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