The Carl-Friedrich-Gauß-Fakultät of the Technische Universität Braunschweig invites applications for a
funded by the Tenure Track Programme of the German Federal Government and the Federal States (”WISNA”) to start as soon as possible.
The successful candidate should be internationally recognized for her/his research in the area of development and application of recent methods and algorithms in statistical learning, especially in conjunction with decision- and information theory. Possible (but not exclusive) fields of research are: Networks, Stochastic differential equations, Inference subject to privacy constraints, Functional or high dimensional data, Inverse problems.
Research interests connected to further institutes of the Department of Mathematics are desired. Moreover, open-mindedness towards cooperation with applied sciences and coordinated research efforts supporting within the TU Braunschweig is indispensable. First activities towards acquiring third-party funding are necessary.
The Department of Mathematics currently establishes the initiative “Mathematics in Data Science” and offers, in this context, numerous possibilities for cooperating with institutes representing computer science, engineering, and economics. We expect the future job holder to adequately participate in the research and teaching activities of the department.
The junior professor´s initial appointment is limited to three years. After a positive evaluation, the appointment will be extended by three more years. In accordance with the tenure track statues of TU Braunschweig, the appointment will be tenured at the level W2 after a positive final evaluation. The requirements of the position are defined in Section 30 of the Lower Saxony Higher Education Act (Niedersächsisches Hochschulgesetz).
With almost 20,000 students and 3,700 staff members, Technische Universität Braunschweig is the largest Institute of Technology in Northern Germany. It stands for a strategic and achievement-oriented way of thinking and acting, relevant research, exceptional teaching and the successful transfer of knowledge and technologies to industry and society. We consistently advocate family friendliness and equal opportunities.
We focus our research on mobility, infections and therapeutics, metrology, and future city. Our core disciplines include a comprehensive engineering branch and a strong natural sciences branch, closely linked with business sciences, social sciences, humanities and educational sciences.
Our campus is located at the heart of one of Europe’s most active research regions. We cooperate closely and successfully with more than 20 research institutions right on our doorstep and maintain strong relationships with our partner universities all over the world.
At TU Braunschweig, we aim to increase the share of women in academic positions and therefore particularly welcome applications from women. Where candidates have equivalent qualifications, preference will be given to female candidates. Applications from international scientists are welcome. A part-time appointment may be possible on request.
Where candidates have the same qualifications, preference will be given to disabled candidates.
For more information, please contact the Head of the Search Committee, Prof. Dr. Dirk Lorenz, ph. +49 (0) 531 391-7423, e-mail: d.lorenz@tu-bs.de.
Please send your written application until May 31st 2020 indicating the reference number 2020_f1_003 and including the appropriate documentation (pdf-file, max. 50 MB, curriculum vitae, copies of grades and titles, list of publications and lecture courses, list of third-party funds acquired with project identification or industrial project responsibilities and a brief description of the research and teaching concept) by e-mail to berufungen(at)tu-braunschweig.de (addressed to TU Braunschweig, Dean of the Carl-Friedrich-Gauß-Fakultät, Prof. Dr. Dr. h. c. Wolfgang Fritz, Rebenring 58a, 38106 Braunschweig, Germany).
By submitting your application documents electronically, you consent to their digital storage and processing for the application process.