Fully Funded PhD Position in Numerical Analysis at Radboud University

Fully Funded PhD Position in Numerical Analysis at Radboud University (Apply Now)

Applications are officially open for the Fully Funded PhD Position in Numerical Analysis at Radboud University—an exceptional opportunity for motivated candidates who aspire to pursue high-level research in numerical methods, inverse wave scattering, scientific computing, and mathematical modeling. This fully funded position offers not only a prestigious academic environment but also excellent financial support, extensive training opportunities, and access to internationally recognized researchers.

This opportunity is tailored for students with a strong background in applied mathematics, partial differential equations, and advanced numerical analysis. The selected scholar will join a dynamic research group committed to solving real-world problems through innovative computational techniques. With a strong focus on interdisciplinary applications, this PhD position opens the door to impactful scientific contributions and long-term academic or industry careers.

Radboud University, located in the beautiful Dutch city of Nijmegen, is known for its world-class research culture, supportive academic environment, and commitment to international collaboration. As a leading European institution, it fosters innovation, creativity, and academic excellence—making it the perfect place to pursue a doctoral degree in advanced mathematics.

Brief Description

To help you quickly understand the essentials, here is a clear and concise summary of the opportunity:

CategoryDetails
UniversityRadboud University, Netherlands
DepartmentApplied Mathematics, Department of Mathematics, Faculty of Science
Degree LevelPhD (Doctoral Position)
AwardFully funded employment contract, €3,059–€3,881 monthly salary, bonuses, training, benefits
Access ModeOnline
Deadline08 January 2026
NationalityOpen to all international applicants
LocationNetherlands
Subjects OfferedNumerical Analysis, Inverse Problems, Scientific Computing, Mathematics
Degree OfferedPhD in Mathematics (Specialization in Numerical Analysis for Inverse Wave Scattering)

Subjects Offered

The fully funded PhD position covers core areas related to advanced mathematics and computational modelling:

Numerical Analysis, Inverse Problems, Partial Differential Equations, Scientific Computing, Mathematical Modelling, Python Programming for Scientific Computing

All subjects are taught and supervised by highly qualified faculty members from the Department of Mathematics, ensuring a rigorous and comprehensive academic journey.

Degree Offered

This opportunity leads to a Doctor of Philosophy (PhD) in Mathematics, with a specialization in Numerical Analysis for Inverse Wave Scattering. The program is designed to develop top-tier research expertise, analytical thinking, and high-level computational skills that are sought after in academia, research institutions, and cutting-edge industries worldwide.

Benefit

The benefits of this Fully Funded PhD Position in Numerical Analysis make it one of the most attractive opportunities available for international students in Europe:

  • A full-time contract for 1.5 years, extendable to 4 years upon positive performance evaluation.
  • Monthly salary starting at €3,059 and increasing to €3,881 by the fourth year.
  • 8% holiday allowance and 8.3% year-end bonus, ensuring financial stability.
  • 30–41 paid annual leave days, providing excellent work-life balance.
  • Flexible working hours and remote-working options.
  • Access to advanced computational laboratories, academic workshops, and training sessions.
  • Opportunities for Dual Career Coaching for partners.
  • Access to sports facilities, cultural activities, pension benefits, and faculty development programs.
  • Continuous mentorship from experienced researchers and supervisors.

This package makes Radboud University one of the most attractive places to pursue a fully funded doctoral degree in mathematical sciences.

Eligible Nationality for PhD Position in Numerical Analysis

This scholarship is open to:

  • Applicants of all nationalities
  • Students from Asia, Africa, Europe, the Middle East, Australia, North America, and South America
  • Both fresh graduates and experienced research professionals

Radboud University strongly encourages applications from diverse academic backgrounds and promotes an inclusive, multicultural research environment.

Eligibility Criteria

To qualify for the Fully Funded PhD Position in Numerical Analysis, applicants must fulfil the following requirements:

  • Hold or be completing a Master’s degree in Mathematics or a closely related discipline.
  • Demonstrate a strong background in numerical analysis, partial differential equations, and applied mathematics.
  • Have hands-on experience in scientific computing, including Python or similar programming tools.
  • Possess excellent analytical skills, problem-solving abilities, and research motivation.
  • Show strong communication abilities (written and verbal).
  • Ability to work both independently and collaboratively in a research environment.
  • Prior experience in inverse problems, uncertainty quantification, or computational modelling is beneficial but not mandatory.

Candidates who exhibit a passion for mathematical research and advanced computation are highly encouraged to apply.

How to Apply

Here is a step-by-step guide to apply for the PhD program:

  1. Visit the official Radboud University online application portal.
  2. Prepare and upload the following documents:
    • Updated CV
    • Academic transcripts
    • Motivation letter explaining research interest and suitability
    • Contact details of academic referees
  3. Submit the application before 08 January 2026.
  4. Shortlisted applicants may be invited for an online interview with the selection committee.
  5. Successful candidates will receive the official offer letter after final evaluation.

Ensure that your application is complete, well-formatted, and professionally written to improve your selection chances.

Apply Now

Click the link below to submit your application: CLICK HERE

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