research on the statistical analysis of (clusters) of extreme values of a stochastic process in continuous time; presentation and publication of research results in English; administrative support in running the project, e.g. organization of workshops, reporting. There will be the possibility to offer lectures in one’s own research field.
very good university degree in mathematics and PhD in mathematics or computer science; strong scientific background in at least one of the following areas: theory of AI, applications of AI in the sciences, statistics of stochastic processes, theory of stochastic processes; ability and willingness for interdisciplinary cooperation; very good command of written and spoken English.
TUD strives to employ more women in academia and research. We therefore expressly encourage women to apply. The University is a certified family-friendly university and offers a Dual Career Service. We welcome applications from candidates with disabilities. If multiple candidates prove to be equally qualified, those with disabilities or with equivalent status pursuant to the German Social Code IX (SGB IX) will receive priority for employment.
Please submit your comprehensive application including the usual documents, quoting the job number ScaDS-22.1 by March 30, 2023 (stamped arrival date of the university central mail service applies), preferably via the TU Dresden SecureMail Portal https://securemail.tu-dresden.de
by sending it as a single pdf document to firstname.lastname@example.org
or to: TU Dresden, CIDS, Herrn Prof. Dr. Wolfgang E. Nagel, Helmholtzstr. 10, 01069 Dresden, Germany. Please submit copies only, as your application will not be returned to you. Expenses incurred in attending interviews cannot be reimbursed.
Reference to data protection: Your data protection rights, the purpose for which your data will be processed, as well as further information about data protection is available to you on the website: https://tu-dresden.de/karriere/datenschutzhinweis