PhD Researcher in Ultrasound Imaging Algorithms
il y a 2 semaines
About the Role
INRIA is seeking a highly motivated PhD candidate to contribute to cutting-edge research at the intersection of applied mathematics, imaging science, and computational methods. This exciting project delves into the realm of partial differential equations with stochastic coefficients, inverse problems, and numerical simulations within the context of ultrasound imaging.
As part of a collaborative team of experts in wave propagation, multi-scale modeling, high-performance computing, finite element methods, and domain decomposition, you will play a pivotal role in developing and analyzing innovative tools for numerical simulation. Your work will directly impact the advancement of quantitative ultrasound imaging algorithms, leading to improved diagnostic capabilities and clinical outcomes.
Key Responsibilities
- Conduct theoretical and computational research on partial differential equations with stochastic coefficients relevant to ultrasound imaging.
- Develop and implement numerical simulation techniques for solving inverse problems in the context of ultrasound data analysis.
- Analyze and validate the performance of novel algorithms for quantitative ultrasound imaging.
- Contribute to scientific publications and presentations at conferences.
Qualifications
We are seeking candidates with a Master's degree in applied mathematics or a related field. A strong foundation in PDE analysis, numerical methods, and programming skills is essential. Experience with finite element methods, high-performance computing, or image processing would be highly advantageous.
Benefits
- Competitive salary and benefits package.
- Opportunity to work on cutting-edge research in a collaborative environment.
- Access to state-of-the-art facilities and resources.
- Professional development opportunities and support for career growth.
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Palaiseau, Île-de-France INRIA Temps pleinProject OverviewThis PhD project is situated at the interface of several applied mathematics domains: study of partial differential equations with stochastic coefficients, inverse problems, and numerical analysis and simulation. The supervisory team brings together expertise in each of the different components and relies on the expertise of Laure Giovangigli...
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