Research Associate / PhD Student / Postdoc (m/f/x)

TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally oriented, regionally anchored top university as it focuses on the grand challenges of the 21st century. It develops innovative solutions for the world’s most pressing issues. In research and academic programs, the university unites the natural and engineering sciences with the humanities, social sciences and medicine. This wide range of disciplines is a special feature, facilitating interdisciplinarity and transfer of science to society. As a modern employer, it offers attractive working conditions to all employees in teaching, research, technology and administration. The goal is to promote and develop their individual abilities while empowering everyone to reach their full potential. TUD embodies a university culture that is characterized by cosmopolitanism, mutual appreciation, thriving innovation and active participation. For TUD diversity is an essential feature and a quality criterion of an excellent university. Accordingly, we welcome all applicants who would like to commit themselves, their achievements and productivity to the success of the whole institution.

At the Faculty of Mathematics, the Institute of Mathematical Stochastics offers a position as

Research Associate / PhD Student / Postdoc (m/f/x)
(subject to personal qualification employees are remunerated according to salary group E 13 TV-L)

starting at the earliest possible date . The position is limited to three years and comprises 75% of the full-time weekly hours. The period of employment is governed by the Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz – WissZeitVG). The position aims at obtaining further academic qualification (usually PhD / habilitation thesis).

Tasks:

• scientific research in the field of stochastic analysis and its applications in financial mathematics or in the theory of machine learning
• assistance of the institute in teaching courses for mathematics students and for other degree programs
• support of the institute in tasks of academic self-administration

Requirements:

• university degree (e.g. Master, Diploma, if applicable with Doctorate) in mathematics or a related field
• in-depth knowledge of stochastic processes, stochastic analysis, and their applications
• experience in implementing stochastic models
• teaching experience (e.g. as a teaching assistant)
• very good knowledge of the English language
• good German language skills or willingness to learn German

We offer:

• collaboration with a competent, successful and friendly team
• opportunity to participate in scientific conferences
• chance to collaborate with international research partners
• extensive training and development opportunities
• flexible arrangement of working hours and remote work
• financial support for the purchase of a so-called job ticket (for public transport in Dresden and the surrounding area)

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 detailed application with proof of your academic qualifications, current transcripts, and a copy of your most recent thesis or a representative scientific publication by
January 7, 2025 (stamped arrival date of the university central mail service or the time stamp on the TUD e-mail server applies), preferably via the TUD SecureMail Portal by sending it as a single pdf file to or to: TU Dresden, Fakultät Mathematik, Institut für Mathematische Stochastik, Herrn Prof. Dr. Martin Keller-Ressel, 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.

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