Radboud University PhD Position 2026: Fully Funded Numerical Analysis Role (Apply by Jan 8)

Radboud University in the Netherlands has announced a prestigious PhD Position in Numerical Analysis for Inverse Wave Scattering. This is a fully funded opportunity within the Faculty of Science, specifically designed for a researcher to join the dynamic group led by Dr. Laura Scarabosio.

The position offers a competitive gross monthly salary starting at €3,059 and rising to €3,881. Selected candidates will work on the NWO Vidi-funded project "Taming Frequency in Bayesian Inverse Wave Scattering," pushing the boundaries of mathematical modeling. The application deadline is strictly set for 08 January 2026.

Position Overview & Key Details

Research Focus: What Will You Do?

This PhD project lies at the core of scientific discovery, relevant to fields ranging from radar technology to geophysical exploration. Your research will focus on reconstructing the properties of a spatial region based on how it interacts with waves. Core responsibilities include:

• Algorithm Design: You will design, analyze, and implement efficient numerical methods for inverse problems in wave propagation.
• Bayesian Framework: You will work within a Bayesian framework to rigorously analyze these methods.
• Discretization & Solvers: You will investigate discretization techniques and solvers for time-harmonic wave equations (Helmholtz).
• Uncertainty Quantification: You will employ sampling techniques, such as Monte Carlo methods, to quantify uncertainty in your reconstructions.

Eligibility and Mandatory Requirements

Radboud University is looking for a motivated and proactive researcher. To qualify, you must meet the following criteria:

• Education: You must hold (or be close to completing) a Master’s degree in Mathematics or a closely related field.
• Technical Background: A strong background in Numerical Analysis and Partial Differential Equations is essential.
• Coding Skills: Experience in scientific computing or programming (e.g., Python) is required.
• Soft Skills: Good verbal and written communication skills in English are mandatory.
• Desirable: Knowledge of uncertainty quantification or inverse problems is a plus, but not required.

Benefits and Compensation

This is a salaried position, not just a scholarship. You are treated as a university employee. Salary: Starts at €3,059 per month, increasing to €3,881 in the fourth year. Bonuses: You receive an 8% holiday allowance and an 8.3% end-of-year bonus. Leave: Generous annual leave of roughly 30 to 41 days (depending on your work week choice). Support: Access to Dual Career Coaching for partners and excellent pension schemes.

How to Apply

Applications must be submitted online. The first round of interviews is scheduled for 22 and 23 January 2026. Ensure you include a motivation letter addressed to Laura Scarabosio along with your CV and transcripts.

Official Application Link: Click Here to Apply for Radboud PhD Position