PhD Position in Astrophysics (Radboud University)

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 Project Description 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. Candidate Profile / Qualifications 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. Employment Terms 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. Application Instructions 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 If you apply for this position please say you saw it on Academicoxy

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

Project Description

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.

Candidate Profile / Qualifications

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.

Employment Terms

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.