PhD and postdoc positions on low-rank approximation
The department ELEC of the Vrije Universiteit Brussel, Belgium, offers several funded PhD and postdoc positions in low-rank matrix/tensor approximation, focused on numerical methods and applications in signal processing and system identification.
We are looking for candidates with strong background in numerical linear algebra and optimization. Experience in system theory, system identification, and tensor techniques is an advantage but is not required. Candidates should have excellent English language skills and working knowledge in numerical computing and software development.
The open positions fit into the following funded research projects:
◾Structured low-rank approximation: Theory, algorithms, and applications (http://slra.github.io/),
◾Decoupling multivariate polynomials in nonlinear system identification (http://imarkovs.github.io/decouple),
◾Block-oriented nonlinear identification using Volterra series (http://homepages.vub.ac.be/~imarkovs/volterra/), and
◾Structured low-rank matrix/tensor approximation: Numerical optimization-based, algorithms and applications (https://www.esat.kuleuven.be/stadius/selma/).
These projects cover a wide range of applications and theoretical research topics. The specific topics for the PhD/postdoc positions will be adapted to fit the interests of the candidates.
In order to apply, e-mail your CV and motivation letter to Mariya Ishteva (email@example.com). The preferred starting date is as soon as possible.
- Mariya Ishteva
- Related URL
- Vrije Universiteit Brussel
- Topic Categories
- Brussels, Brussels Hoofstedelijk Gewest#Région de Bruxelles-Capitale, Belgium
- Closing Date
- Dec. 31, 2018