PhD position in numerical analysis for high-dimensional function approximation

PhD position in numerical analysis for high-dimensional function approximation

(ref. BAP-2026-631)

Laatst aangepast: 13/10/26

The research fits into the research of NUMA in the research group of Dirk Nuyens which focuses on quasi-Monte Carlo methods for numerical integration and function approximation.

Project

There are a lot of algorithms to approximate high-dimensional functions. They often are based on samples. We consider the case in which the sample nodes can be chosen and are interested in worst-case errors of e.g. the L2 error over the unit ball of a weighted Sobolev space of dominating mixed smoothness. We are in particular interested in structured point sets from quasi-Monte Carlo methods.

Profile

The candidate has a master degree in Mathematical Engineering, Mathematics or Computer Science or equivalent with a strong desire to mathematically analyse when and how a numerical algorithm works.

Offer

The PhD program in Leuven is a 4 year program. The initial contract is for one year. After nine months the student is evaluated and the outcome determines if the PhD program can be continued.

Interested?

For more information please contact Prof. dr. ir. Dirk Nuyens, mail: [email protected].

You can apply for this job no later than December 31, 2026 via the online application tool

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av_timer Tewerkstellingspercentage: Voltijds

location_city Locatie: Leuven

timer Solliciteren tot en met:

31/12/2026 23:59 CET

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