Joint post-doc call of the projects FWF SFB 65 "Taming Complexity in Partial Differential Systems" and ERC Advanced Grant "Emerging Network Structures and Neuromorphic Applications"
We are currently advertising
2 post-doc positions
in the framework of the following projects:
- FWF SFB 65 "Taming Complexity in Partial Differential Systems" (a large-scale project focusing on the solution of PDEs describing the behavior of complex systems from Physics, Biology, and Technologies);
- ERC Advanced Grant "Emerging Network Structures and Neuromorphic Applications" of Prof. Ansgar Jüngel.
07.03.2023 (23:59 Europe/Vienna time)
The deadline only for the position in the ERC Advanced Grant has been extended to
23.04.2023 (23:59 Europe/Vienna time)
.
Type of positions
Post-doc positions.
The annual salary for post-doc positions is approximately 60k € gross (corresponding to approx. 40k € net salary / year).
Duration of employment
Both positions are for 1 year (extension to 2 years is possible).
Affiliation
The successful applicants will be employed at the
Institute of Analysis and Scientific Computing
of
TU Wien (Vienna, Austria)
and will be associated to the
workgroup of Ansgar Jüngel.
Themes
POSITION 1
This project is financed by Project Part 2 of the SFB research center "Taming Complexity in Partial Differential Systems".
POSITION 2
This project is financed by the ERC Advanced Grant "Emerging Network Structures and Neuromorphic Applications".
(position already filled)
:
Structure-preserving numerical schemes for Maxwell-Stefan systems
Scientific context:
The project goal is the design of efficient numerical approximations of (cross-diffusion) Maxwell-Stefan systems,
which model gas mixtures under thermal influence.
Possible approaches are finite-volume, finite-element, or discontinuous Galerkin methods.
The tasks are the existence of discrete solutions, proof of the structure-preserving properties,
convergence of the scheme, and numerical implementation of the scheme in two space dimensions.
This project is financed by Project Part 2 of the SFB research center "Taming Complexity in Partial Differential Systems".
POSITION 2
(position still open)
:
Numerical approximation of drift-diffusion equations for memristor devices
Scientific context:
Memristors are emerging neuromorphic devices that simulate synapses of the brain.
The project goal is the design of efficient numerical approximations of drift-diffusion equations
for the charge transport in memristors, using for instance finite-volume,
mixed finite-element or mixed discontinuous Galerkin methods.
The tasks are the existence of discrete solutions, proof of their qualitative properties,
convergence of the scheme, and numerical implementation of the scheme in two space dimensions.
This project is financed by the ERC Advanced Grant "Emerging Network Structures and Neuromorphic Applications".
Skills required:
Applicants must have or be close to obtain a PhD in Mathematics.
An excellent track record and a strong background in nonlinear partial differential equations
and numerical analysis are required.
Preferred start date
As soon as possible.
Requested documents
- A motivation letter.
- A single pdf with the CV and list of publications.
- A pdf or a link to the PhD thesis.
Additional requested information
Contact details of 2 possible references (recommendation letters do not need to be submitted during the online application).
Contact
For queries on this advertisement, please contact
Prof. Ansgar Jüngel at juengel@tuwien.ac.at.
Candidates for this position are requested
to fill the application form at
this link.
You can choose to candidate for both advertised positions, or just to one of them.
The deadline only for the position in the ERC Advanced Grant has been extended to
23.04.2023 (23:59 Europe/Vienna time)
.
and is now advertised as part of another joint postdoc call. See
this link for further details and for the online application form.
We are committed to diversity and inclusion; all qualified applicants will receive consideration for employment without regard to gender, gender identity or expression, sexual orientation, religion, national origin, disability, or age.
The personal data submitted for this application will be treated according to the European General Data Protection Regulation (GDPR). A
Privacy and Data Protection Policy
for this call is available
at this link.
General inquiries for this call (in particular: questions related to the online application) can be directed to the Scientific Manager of the SFB 65 (Matteo Tommasini, at matteo.tommasini@univie.ac.at).