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Numerical Analysis for Inverse Wave Scattering Fellowship 2026 in Netherlands | Fully Funded

Netherlands

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Jan 8, 2026
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Application opens on the official site (www.ru.nl). Scholarship Union does not collect applications.

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Fellowship Summary
Country
 Netherlands
Study Level
 PhD
Benefits
 Fully Funded

Numerical Analysis for Inverse Wave Scattering Fellowship 2026 is now open for applications, offering an exceptional fully funded PhD opportunity in Numerical Analysis at Radboud University. This fellowship is designed for highly motivated students eager to explore advanced research in inverse wave scattering and numerical methods. Successful candidates will join an active research group, benefit from a competitive salary, and work in an environment that encourages academic growth and meaningful scientific contribution.

To be eligible for the Numerical Analysis for Inverse Wave Scattering Fellowship 2026, applicants must hold or be completing a master’s degree in Mathematics or a related discipline. A solid background in numerical analysis, partial differential equations, and scientific computing is essential, along with hands-on experience in programming tools such as Python. Strong communication skills and the ability to work independently and within a team are also key to thriving in this rigorous academic program.

Benefits of Numerical Analysis for Inverse Wave Scattering Fellowship 2026

• A temporary full-time employment contract for 1.5 years, extendable to 4 years upon positive evaluation.
• Gross monthly salary starting at €3,059, increasing to €3,881 in the fourth year.
• 8% holiday allowance and an 8.3% end-of-year bonus.
• Opportunity for Dual Career Coaching for partners.
• Extra annual leave (30 or 41 days).
• Flexible working hours, remote work options, and excellent work-life balance arrangements.
• Access to training programs, development schemes, and interdisciplinary academic events.
• Pension plan and discounts on sports and cultural activities at Radboud University.

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Eligibility Criteria for the Numerical Analysis for Inverse Wave Scattering Fellowship 2026

  • Eligible Countries: Open to applicants from all nationalities.
  • Acceptable Course or Subjects: The scholarship will be awarded in Numerical Analysis, Inverse Problems, Scientific Computing, or any relevant subject offered by the Department of Mathematics at Radboud University.
  • Admissible Criteria: To be eligible, applicants must:
    • Hold or be completing a Master’s degree in Mathematics or an equivalent field (completed before the start date).
    • Have strong background in numerical analysis and partial differential equations.
    • Possess experience in scientific computing or programming (e.g., Python).
    • Have good communication skills (written and verbal).
    • Be motivated, proactive, and capable of working independently and in a team.
    • Knowledge of uncertainty quantification or inverse problems is desirable but not required.

How to Apply for the Numerical Analysis for Inverse Wave Scattering Fellowship 2026?

  • Review the full position details and eligibility requirements carefully.
  • Prepare all required documents, including your CV, motivation letter, and academic transcripts.
  • Highlight your experience in numerical analysis, wave scattering, or related research areas.
  • Write a clear, personalized motivation letter explaining why you are a strong fit for this PhD position.
  • Gather contact information for your academic references and ensure they are ready to provide recommendations.
  • Proofread your full application to make sure it is complete, accurate, and well-organized.
  • Submit your application through the official application portal before the deadline.

Frequently Asked Questions (FAQs)

Numerical Analysis for Inverse Wave Scattering Fellowship 2026 offers four years of funded research on numerical methods for inverse wave scattering. Applicants need a strong mathematical background and programming skills. The role includes research, light teaching, and involvement in an active academic community. Deadline: 8 January 2026; preferred start: 1 April 2026.

What is the “Numerical Analysis for Inverse Wave Scattering Fellowship 2026”?

Numerical Analysis for Inverse Wave Scattering Fellowship 2026 is a fully funded 4-year PhD position focused on designing and analyzing numerical methods for inverse wave scattering. The research aims to recover hidden spatial details by studying how waves scatter, combining mathematical theory and computational techniques.

Which institution offers this Numerical Analysis for Inverse Wave Scattering Fellowship 2026?

Numerical Analysis for Inverse Wave Scattering Fellowship 2026 is offered by a major European university’s Faculty of Science within its Department of Mathematics. The selected candidate joins an applied mathematics group actively researching computational and theoretical aspects of wave scattering.

What are the eligibility requirements?

Applicants need a completed or nearly completed Master’s degree in Mathematics or an equivalent field. Strong skills in numerical analysis, partial differential equations, and scientific programming are essential for being considered for the role.

Are prior works on inverse problems mandatory?

Prior experience with inverse problems or uncertainty quantification is helpful but not required. The essential requirement is a solid foundation in numerical analysis, PDEs, and computational methods used in scientific problem solving.

What will be my research focus as a PhD candidate?

The research centers on creating efficient numerical techniques to tackle inverse wave scattering problems. This includes developing discretization approaches, solvers for wave equations, and strategies to improve reconstruction accuracy and uncertainty assessment.

Does the program include teaching or other duties?

Yes. The position includes approximately 10% teaching responsibilities. Candidates are also encouraged to present their work at conferences, participate in workshops, and publish in scientific journals as part of their academic training.

What is the employment and salary package?

The full-time position offers a monthly gross salary starting at €3,059, rising to €3,881 by the fourth year. Benefits include holiday allowance, an annual bonus, and generous leave options, along with access to various support services.

What is the contract duration and starting date?

Numerical Analysis for Inverse Wave Scattering Fellowship 2026 for Inverse Wave Scattering Fellowship 2026 position runs for four years. The first contract covers 1.5 years, with a 2.5-year extension granted upon positive evaluation. The preferred starting date is 1 April 2026, though flexibility may be possible.

When is the application deadline?

Applications must be submitted by 8 January 2026. Submissions received after this date will not be considered for the fellowship.

What kind of environment and community will I join?

The candidate joins a supportive international department that hosts more than 20 PhD students. The environment encourages collaboration through seminars, informal activities, and access to an institute that promotes interdisciplinary research and personal development.


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This is Tanvir Ahammed Shovo. I am a content contributor at Scholarship Union, where I collect and publish information about global scholarships, fellowships, conferences, and various international opportunities for students. I hold a Bachelor of Business Administration (BBA) and a Master of Business Administration (MBA) in Accounting. With a strong interest in education, research, and international opportunities, I focus on collecting verified information from official sources and presenting it in a clear and simple way so that students from around the world can easily access the information they need. My goal is to inform students about fully funded scholarships, academic programs, and professional opportunities that can support their educational and career development. Through my work at Scholarship Union, I aim to make information about international education and scholarships more accessible and to help students stay informed about academic opportunities around the world.

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