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Position: Research Assistants (f/m/d) (PhD Positions) in Applied Mathematics
Institution: Georg-August-Universität Göttingen
Department: Research Training Group 2088 “Discovering Structure in Complex Data: Statistics Meets Optimization a
Location: Göttingen, Niedersachsen, Germany
Duties: introductory lectures, special seminars and skill training courses; annual RTG workshop with individual presentations of progress in research; regular meetings with other PhD students of the RTG and an annual retreat; a course on good scientific practice; regular meetings with your thesis advisory committee
Requirements: hold an excellent or very good Master’s degree (or equivalent) in mathematics or physics; have strong interest in inverse problems, signal and image processing, spatial stochastics, geometrical statistics and/or mathematical statistics; are proficient in written and spoken English; have gained first experience in programming
   
Text: Research Assistants (f/m/d) Einrichtung: Research Training Group 2088 “Discovering Structure in Complex Data: Statistics Meets Optimization a (ID 100865) Ansprechpartner: Diana Sieber Besetzungsdatum: 01.10.2021 Veröffentlichungsdatum: 01.06.2021 The Research Training Group 2088 “Discovering Structure in Complex Data: Statistics Meets Optimization and Inverse Problems” at the University of Göttingen is looking for Research Assistants (f/m/d) (PhD Positions) in Applied Mathematics starting their work on October 1, 2021 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 one of the following projects: A1, A2, A3, A7, B1, B2. Additionally, you will take part in our study program, which includes • introductory lectures, special seminars and skill training courses, • annual RTG workshop with individual presentations of progress in research, • regular meetings with other PhD students of the RTG and an annual retreat, • a course on good scientific practice, • regular meetings with your thesis advisory committee. 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 inverse problems, signal and image processing, spatial stochastics, geometrical statistics and/or mathematical statistics, • are proficient in written and spoken English, • have gained first experience in programming. 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_100865.nsf for your application including the following documents: • a motivation letter that states your interest in research and that specifies 1-3 of the projects you are interested in, • your curriculum vitae, • your degree certificates. Application deadline: 30.06.2021 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) 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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