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Position: Project Position
Institution: Georg-August-Universität Göttingen
Department: Research Training Group RTG 2088 „Discovering Structure in Complex Data: Statistics meets Optimization and Inverse Problems“
Location: Göttingen, Niedersachsen, Germany
Duties: 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. 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
   
Text: project position Einrichtung: Research Training Group RTG 2088 (ID 14038) Ansprechpartner: Mrs. Diana Sieber Besetzungsdatum: ab sofort Veröffentlichungsdatum: 19.12.2018 The Research Training Group RTG 2088 „Discovering Structure in Complex Data: Statistics meets Optimization and Inverse Problems“ (Speaker: Prof. Gerlind Plonka-Hoch) at the Georg-August-University Göttingen offers 1 project position for project A7 „Analyzing Minutiae Distributions for Fingerprint Recognition“ from April 1, 2019 to March 31, 2020. 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). 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. Methodologically, specific emphasis will be laid upon the interplay between approaches in statistics, optimization and inverse problems. Most of the proposed PhD projects arise from signal or image processing applications in biology, medicine or engineering. 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 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. Detailed information about the RTG are available at http://www.uni-goettingen.de/de/514290.html . Please apply through e-mail to Diana Sieber, dsieber@gwdg.de . Your application should come as one pdf file and include application letter, detailed CV and B.A./M.A. certificates. Closing date is January 31, 2019. 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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