PhD Scholarship in Stability : The Vienna School of Mathematics (VSM) is inviting applications for a PhD position in the field of deep learning methods applied to Partial Differential Equations (PDEs) and Dynamical Systems. This position is affiliated with the Faculty of Mathematics at the University of Vienna and is supervised by S. Lanthaler and P. Petersen.
PhD Scholarship in Stability of Deep Learning Methods in PDEs and Dynamical Systems
Designation:
PhD Researcher
Research Area:
Deep Learning Methods, Partial Differential Equations, Dynamical Systems, Numerical Analysis, and Functional Analysis
Location:
University of Vienna, Austria
Eligibility/Qualification:
- A master’s degree (or equivalent) in Mathematics before the start date of the PhD position.
- Strong background in at least one of the following areas: numerical analysis, machine learning, partial differential equations, or functional analysis.
Job Description:
- Conduct research on the stability of deep learning methods in applications to PDEs and dynamical systems.
- Investigate the role of instabilities and their impact on learning tasks in applied mathematics.
- Actively contribute to the activities of the Vienna School of Mathematics.
- Work 30 hours per week under the supervision of S. Lanthaler and P. Petersen.
- Position start date: May 1, 2025.
How to Apply:
Applicants must submit the following documents via the Job Portal of the University of Vienna:
- Letter of motivation
- Scientific CV, including a list of publications (if any)
- Higher education certificates/diplomas
- Letter(s) of recommendation
Last Date to Apply:
April 17, 2025
For more details and to apply, visit the Job Portal of the University of Vienna.
