Praedoc (PhD) in Numerical Analysis at RICAM
Join a FWF-funded project on multivariate algorithm universality at Austria’s leading computational mathematics institute.
Best for:Best for master’s graduates in mathematics or applied mathematics with expertise in numerical analysis, scientific computing, or related fields, seeking a structured PhD opportunity in theoretical and applied computational mathematics.
Overview
This PhD position at the Austrian Academy of Sciences’ Johann Radon Institute for Computational and Applied Mathematics (RICAM) focuses on advancing Quasi-Monte Carlo Algorithms and related fields. The successful candidate will contribute to the FWF-funded project ‘Universality of Algorithms for Multivariate Problems,’ led jointly by Dr. Peter Kritzer and Dr. Friedrich Pillichshammer. The role involves cutting-edge research in numerical analysis, multivariate algorithms, and uniform distribution theory, with opportunities to collaborate internationally. Located in Linz, the position offers a dynamic research environment and a starting salary of at least EUR 53,140.92 annually (full-time equivalent).
What you'll do
- Conduct research on Quasi-Monte Carlo Algorithms and their applications in multivariate problems.
- Develop and analyze algorithms for numerical analysis and uniform distribution theory.
- Collaborate with international experts in the field of computational mathematics.
- Publish findings in peer-reviewed journals and present research at conferences.
- Participate in project meetings and contribute to the broader goals of the FWF-funded initiative.
- Engage in teamwork and interdisciplinary collaboration within RICAM.
Requirements
Degree required: Master’s Degree in Mathematics, Applied Mathematics, or a closely related field
Degree offered: PhD
Language: English; proficiency in speaking and writing required for academic work
Instruction: English
- Strong background in Numerical Analysis, Scientific Computing, Number Theory, Approximation Theory, or Functional Analysis
- Proficiency in mathematical modeling and algorithm development
- Excellent command of English for academic communication and collaboration
- Ability to work independently and collaboratively in a research environment
- No specific nationality or residency restrictions mentioned
- No age or prior experience caps specified
Funding & terms
How to apply
Deadline: 2026-10-31 (Europe/Brussels)
Applicants must submit their application through the official portal linked in the job advertisement. The application process requires uploading relevant documents, including a CV, cover letter, and academic transcripts. Ensure all materials are prepared in advance to meet the deadline.
- CV
- Cover letter
- Academic transcripts (Master’s degree)
- Proof of English proficiency (if applicable)
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.