Institution: Radboud University, Nijmegen, Netherlands
Faculty: Faculty of Science
Department: Department of Mathematics – Applied Mathematics Research Group
Employment: Full-time (1.0 FTE)
Gross Salary: €3,059–€3,881 per month (scale P)
Application deadline: 8 January 2026
Preferred start date: 1 April 2026
Focus: Developing and analyzing numerical methods for inverse problems in wave propagation, specifically in a Bayesian framework.
Part of the NWO Vidi project: “Taming Frequency in Bayesian Inverse Wave Scattering”.
Application areas include radar, nanoscale metrology, and geophysical exploration.
Tasks:
Design, analyze, and implement efficient numerical methods for inverse wave problems.
Engage in light teaching duties (10%).
Participate in conferences, workshops, and publish research.
Contribute to high-resolution reconstruction and uncertainty quantification.
Master’s degree in Mathematics or equivalent (to be completed before start).
Strong background in numerical analysis and partial differential equations.
Experience in scientific computing / programming (e.g., Python).
Knowledge of uncertainty quantification or inverse problems is a plus but not required.
Good communication skills and ability to work independently and collaboratively.
Motivated, proactive, and willing to learn and solve challenging problems.
Contract: 1.5 years initially, extended to 4 years upon positive evaluation.
Salary: Starting €3,059 gross per month, increasing to €3,881 by year 4.
Benefits: 8% holiday allowance, 8.3% end-of-year bonus, dual career coaching, extra days off (30–41 per year), flexible working conditions, sports & cultural discounts, pension scheme.
Research group: Riccardo Cristoferi, Gabriel Lord, Vanja Nikolić, Laura Scarabosio, Stefanie Sonner.
Light teaching duties (10%) and integration into a community of 20+ PhD candidates.
Submit via Radboud University portal:
Cover letter addressing Laura Scarabosio
Curriculum Vitae (CV)
Other documents as specified in the application portal
Contact: Dr. Laura Scarabosio – laura.scarabosio@ru.nl
First interviews: 22–23 January 2026