PhD Candidate: Inverse Problems in Wave Imaging

Karlstad University; Amsterdam; On-site; EUR 35,000 - 45,000; Full time

Benefits offered by this job

Housing for expat employees

Flexible scheduling

Job summary

Centrum Wiskunde & Informatica (CWI) in Amsterdam invites applications for a PhD student position in inverse problems for wave-based imaging. The project blends PDE-based modelling with data-driven reduced-order ideas, aiming at robust and efficient imaging with uncertainty quantification.

The role centers on mathematical analysis and computational algorithms, supervised by Prof. Tristan van Leeuwen and Dr. Chris Stolk, with collaboration across mathematics and imaging researchers.

Qualifications

• Master's degree in mathematics or closely related field.
• Strong background in PDEs, inverse problems or numerical PDEs.
• Experience with scientific computing and numerical experiments.
• Programming in Python, Julia, MATLAB, C or C++.
• Good written and spoken English.
• Ability to work independently and in a team.

Responsibilities

• Develop mathematical theory for nonlinear inverse problems governed by wave equations.
• Design and analyse numerical algorithms for inverse problems, uncertainty quantification, and experimental design.
• Implement prototype numerical methods and test on increasingly realistic problems.
• Collaborate with researchers in applied mathematics and imaging, plus project partners.
• Present results at international conferences and publish in journals.

Skills

Master's degree in mathematics or a関連分

PDEs

Inverse problems

Numerical PDEs

Scientific computing

English writing

Education

Master's degree in mathematics or related field

Tools

Python

Julia

MATLAB

C

C++

Job description

Centrum Wiskunde & Informatica (CWI) in Amsterdam invites applications for a PhD student position in inverse problems for wave-based imaging. The project blends PDE-based modelling with data-driven reduced-order ideas, aiming at robust and efficient imaging with uncertainty quantification.

The role centers on mathematical analysis and computational algorithms, supervised by Prof. Tristan van Leeuwen and Dr. Chris Stolk, with collaboration across mathematics and imaging researchers.