PhD Candidate in Mathematics (m/f/d)
Technische Universität Dresden
Dresden, Saxony, Germany • Teilzeit
Bewerben Sie sich als Erste/r!
- Erfahrung
- Beliebig
- Gehalt
- —
- Stellenangebote
- 1
- Veröffentlicht
- vor 2 Stunden
- Arbeitsmodus
- Im Büro
- Ausbildung
- University degree in Mathematics
- Wieder aufnehmen
- Bewerbung erforderlich
Wo Sie arbeiten werden
Stellenbeschreibung
About Technische Universität Dresden
The Technische Universität Dresden (TUD), established in 1828, is recognized as one of Germany's leading research universities under the Excellence Initiative. It combines engineering, natural sciences, humanities, social sciences, and medicine to promote interdisciplinary research and contribute innovative solutions to global challenges. TUD fosters a culture of openness, appreciation, and innovation, valuing diversity as an essential quality. The university aims to provide attractive work conditions for all its staff, supporting their development and involvement.
Position Overview
The Faculty of Mathematics, Institute for Mathematical Stochastics at TUD, invites applications for a scientific staff member/doctoral candidate position in the Probability Theory department starting December 1, 2026. This fixed-term position of three years (according to WissZeitVG) offers 75% of the regular weekly working hours and focuses on further scientific qualification, typically a PhD (E 13 TV-L salary group).
Key Responsibilities
- Conduct research on stochastic jump processes, including Lévy processes and Feller processes, as well as nonlocal operators and semigroups in stochastic analysis.
- Participate in teaching activities within the mathematics degree programs (Bachelor, Master, Teacher Education) and in courses related to teaching export per HSDAVO regulations.
- Engage in academic self-governance activities at the university.
Qualifications
- A scientific university degree in mathematics with above-average performance.
- Solid knowledge of stochastic processes.
- Familiarity with functional analysis or Fourier analysis.
- For applicants with a foreign educational background: excellent German language skills at least at level C1.
Benefits
- Opportunity for interesting and autonomous work within a flat hierarchical structure and supportive team environment.
- Flexible working hours to balance professional and personal life.
- Annual leave of 30 days based on a 5-day workweek.
- Wide-ranging opportunities for professional development and continuing education.
- Health care and sports programs provided by TUD.
- Discounted job ticket, including the Germany-wide ticket option.
- Participation in the supplementary public employee pension scheme (VBL).