Postdoc in Numerical Algorithms for Nonlinear Eigenvector Problems

Postdoc in Numerical Algorithms for Nonlinear Eigenvector Problems

2026-12-31 (date only; cutoff time not explicitly verified)

About This Opportunity

KU Leuven offers postdoc in numerical algorithms for nonlinear eigenvector problems in Leuven. The specific focus is within ku leuven's numa team, this project develops theoretically grounded algorithms for eigenvalue systems whose matrix depends on the eigenvector.

Within KU Leuven's NUMA team, this project develops theoretically grounded algorithms for eigenvalue systems whose matrix depends on the eigenvector. Research will construct rational approximations, global spectrum-location algorithms and projection-based large-scale solvers. The advertised activities and techniques include nonlinear algebra, rational approximation, multiparameter eigenvalue algorithms, numerical analysis.
Who This Opportunity Is Best Suited For: Based on the documented research scope, this may particularly suit phD holders in numerical linear algebra, applied mathematics or scientific computing.
Potential Challenges / Who May Find It Less Suitable: Technically specialised mathematical research, emphasising algorithmic theory and software-scale problems.
Overall Opportunity Assessment: The advertised work connects nonlinear algebra, rational approximation, multiparameter eigenvalue algorithms, numerical analysis. Its distinguishing purpose is within KU Leuven's NUMA team, this project develops theoretically grounded algorithms for eigenvalue systems whose matrix depends on the eigenvector. Applicants should assess the documented academic and practical constraints before proceeding.

Level Postdoc

Organization Type University

Requirements

Education

Experience

Technical Skills nonlinear algebra rational approximation multiparameter eigenvalue algorithms numerical analysis