University of Vienna, Faculty of Mathematics
Position ID:
Mathematics-PHD1 [#22569]
Position Title:
University Assistant PhD: Low-rank tensor approximation for the data-driven exploration and solution of PDEs
Position Type:
Other
Position Location:
Vienna, Wien 1090, Austria
Appl Deadline:
2023/07/15 11:59PM
* finished (2023/06/16, finished 2023/11/17, listed until 2023/12/16)
* finished (2023/06/16, finished 2023/11/17, listed until 2023/12/16)Position Description:
*** this position has been closed and new applications are no longer accepted. ***
Position Description
The Data-Driven PDEs group at the University of Vienna, led by Vladimir Kazeev, is currently inviting applications for a doctoral student position «Low-rank tensor approximation for the data-driven exploration and solution of PDEs». The position is focused on the numerical solution of PDEs using the adaptive multilevel approximation by low-rank tensor decompositions. Tensor decompositions allow for the efficient compression of PDE solutions and admit robust algorithms based on standard matrix computations and realizing that compression. Possible PDEs to be considered within the project include the Navier–Stokes and nonlinear Schrödinger equations. The project includes the analytical design, implementation and experimental exploration of numerical algorithms. An extended description of the project is available at https://mat.univie.ac.at/~kazeev/openings.html. The position has a work-load of 30 hours a week, including scientific research and moderate teaching duties. The salary is in accordance with the collective labor agreement; see https://personalwesen.univie.ac.at/en/jobs-recruiting/job-center/salary-scheme. The tentative starting date is the 1st September 2023. We are seeking enthusiastic candidates with basic mathematical training and with master’s degrees (or equivalent) specialized in mathematics or in related areas. The successful candidate should have a strong background in numerical mathematics (including linear algebra, numerical linear algebra and numerical methods for ODEs and PDEs), programming skills and an aptitude for the implementation and experimental exploration of numerical algorithms, proficiency in English (written and oral). Interested applicants are invited to submit their applications under reference number 14083 via the Job Center of the University of Vienna (https://univis.univie.ac.at/ausschreibungstellensuche/flow/bew_ausschreibung-flow?tid=94799.28) or by email (vladimir.kazeev@univie.ac.at). The application should include a motivation letter, an academic CV (with a list of publications if there are any), university-level diplomas and (if available) recommendation letters or the contact information of reference persons. The University pursues a non-discriminatory employment policy and values equal opportunity and diversity. The University puts special emphasis on increasing the number of women in academic positions. Given equal qualification, preference will be given to female applicants.Application Materials Required:
- Submit the following items online at this website to complete your application:
- Curriculum Vitae
- Motivation Letter
- University-Level Diplomas
- And anything else requested in the position description.
Further Info:
Oskar-Morgenstern-Platz 1
1090 Vienna
Austria
1090 Vienna
Austria