Blätter-Navigation

Offer 43 out of 151 from 17/09/24, 13:25

View offer in language:GermanEnglish
logologo

Technische Universität Dresden - Faculty of Mathematics, Institute of Numerical Mathematics

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.

Chair (W2) of Applied Optimization

At the Faculty of Mathematics, the Institute of Numerical Mathematics, invites applications for the
Chair (W2) of Applied Optimization
as of October 1, 2026.

Working field:

You (m/f/x) represent an application-oriented topic in the field of optimization in both research and teaching. Possible areas of your research focus include "Discrete Optimization", "Operations Research", "Optimization Methods for Machine Learning or Data Science", "Optimal Control", "Optimal Transport", or "Optimization under Uncertainty". Your expertise should complement the existing strengths of the Faculty of Mathematics and of TUD. As part of our team, you will teach in mathematical degree programs and supervise theses and projects, particularly in the field of discrete optimization, and you will also take on export courses for other science and engineering programs. You contribute significantly to the development of relevant research topics through publications and the acquisition of third-party funding. Moreover, you work across disciplinary boundaries and are happy to cooperate with partners from outside the field of mathematics. The DRESDEN-concept research alliance provides excellent opportunities for such collaborations. TUD offers a dynamic and innovative workplace where you can play a pivotal role in inspiring and shaping the next generation of mathematicians. We look forward to working with you on enhancing our faculty’s research and teaching profile, as well as in strengthening the practical relevance of our degree programs. Additionally, we invite you to take an active role in academic self-administration.

Requirements:

We are looking for an internationally renowned expert in a relevant and application-oriented field of optimization. The successful candidate holds a habilitation or equivalent qualification in mathematics or a closely related discipline. You demonstrate your distinction through excellent research and high-quality publications, through your ability to obtain third-party funded projects, and your experience in international-level research. In addition, we expect broad experience in university teaching, ideally proven by positive teaching evaluations. Experience outside German science and academia, expertise in science communication, familiarity with academic management tasks, leadership and team management skills, as well as skills in diversity are also highly welcome. The requirements for appointment, the official tasks and the administrative status are governed by §§ 59, 69, 71 of the Institutions of Higher Education Act in the Free State of Saxony (SächsHSG) and the Regulations on Duties and Responsibilities of Institutes of Higher Education (HSDAVO).

What we offer:

For content-related questions, please contact the head of the appointment committee, Prof. Dr. Anita Behme, phone +49 351 463-32426, email: anita.behme@tu-dresden.de

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. If you have any questions about these topics, please contact the Equal Opportunities Officer of the Faculty of Mathematics (Dr. Hanne Hardering, phone +49 351 463-32002, email: gleichstellung.math@tu-dresden.de) or our Representative of Employees with Disabilities (Mr. Roberto Lemmrich, phone +49 351 463-33175).

How to apply:

We look forward to receiving your application by November 15, 2024 (time stamp on the email server or the stamped arrival date of the university central mail service of TUD applies).
Please attach the following documents to your letter of application:

  • CV
  • Synopsis of your academic career
  • List of your scientific publications with links to your five most relevant papers
  • Summary of your teaching experience with evaluation results from the last three years
  • Details of your third-party funding activities
  • Brief research concept (at most 3 pages)
  • Short concept (at most 3 pages) outlining your plans for teaching activities and research collaborations at TUD
  • Copy of the certificate of your highest academic degree
    We kindly ask you to submit your application by email. Please use the SecureMail Portal of TUD (https://securemail.tu-dresden.de) and send your documents in a single PDF document to: dekanat.math@tu-dresden.de. If you are applying by regular mail, please also attach your application documents in electronic form (CD or USB storage device) and send them to: TU Dresden, Fakultät Mathematik, Dekan, Herrn Prof. Dr. Axel Voigt, Helmholtzstr. 10, 01069 Dresden, Germany.

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.