KraviAnalytics

Industrial Postdoctoral Researcher in Mathematical Analysis

Informationsteknologi

Lund, Sweden

Publicerad: 21/03/2026

Heltid

Utgår den 19/06/2026

Jobbeskrivning

**Role Description**
This is a full-time on-site role located in Lund for an Industrial Postdoctoral Researcher in Mathematical analysis. This Industrial Postdoctoral position is designed for a researcher with a deep, rigorous mathematical background who seeks to apply advanced theory to real-world challenges. The role centres on the mathematical foundations of satellite-based measurement and large-scale ocean observation, with a strong focus on analytical and numerical research.

The successful candidate will lead mathematically driven investigations involving:

Mathematical analysis of satellite observation systems.

Development of hybrid mathematical–AI models, with emphasis on underlying analytical structure and stability

Design, analysis, and implementation of numerical and computational methods for large-scale geophysical and oceanographic data

Mathematical modelling and interpretation of multi-source observational systems

Your mathematical research will directly contribute to the conceptual design of next-generation surveillance systems and influence both scientific understanding and operational capabilities.

**Key Responsibilities**
Conduct independent and collaborative research in mathematics, including PDEs, mathematical modelling, functional or harmonic analysis,

Develop:

Mathematically well-founded algorithms

Methods for multi-source satellite data fusion

Supervise Master’s students in mathematically focused research projects

Qualifications

**Essential**
PhD in Mathematics, Applied Mathematics or Physics

**Strong background in:**
Partial Differential Equations

Numerical Algorithms and Scientific Computing

Functional or Harmonic Analysis

Theoretical Physics / Mathematical Modelling

Proven experience using Python for scientific and numerical computing

Evidence of mathematical research output (publications, preprints, algorithms, or open-source contributions)

**Desirable**
Experience with C++, GPU acceleration, or high-performance computing.

Familiarity with inverse problems.

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Jobbdetaljer

Publiceringsdatum

21/03/2026

Plats

Lund, Sweden

Utgångsdatum

19/06/2026

Erfarenhetsnivå

Medelnivå

Arbetsplats

Lund, Skåne County

Löneinformation

EUR • Per År

Ansökningsmetod

Website

Ansökningar

50

Publicerande företag

KraviAnalytics

KraviAnalytics

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Informationsteknologi

Plats

Lund, Sweden

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