Industrial Postdoc Researcher

Kravi Analytics AB; Lunds kommun; Hybrid; SEK 279,589 - 512,581; Full time

Job summary

Kravi Analytics AB in Lund, Sweden, is seeking an Industrial Postdoctoral researcher to bridge academic research and industry. This role involves leading research on satellite-based measurements, focusing on data quality assessment, fusion of multi-source observations, and developing hybrid mathematical–AI models. You will collaborate with engineering teams, supervise Master's students, and directly influence the design of next-generation surveillance systems. A PhD in Mathematics or Physics and experience in Python for scientific computing are required.

Qualifications

• PhD in Mathematics or Physics.
• Strong background in Partial Differential Equations, Numerical Algorithms, Functional / Harmonic Analysis or Theoretical Physics.
• Proven experience in Python for scientific computing.

Responsibilities

• Conduct independent and collaborative research in applied mathematics, computational modeling, and ML.
• Develop algorithms focusing on satellite data fusion and multi-source integration.
• Supervise Master's students.
• Collaborate with engineering teams to translate research outcomes into operational tools.

Job description

This Industrial Postdoctoral position offers a unique opportunity to bridge academic research and industryinnovation. The successful candidate will lead research on satellite-based measurements, focusing on:

• Data quality assessment and fusion of multi-source satellite observations
• Development and validation of hybrid mathematical–AI models
• Integration of advanced numerical and analytical methods for large-scale ocean data interpretation

Your work will directly influence the design of next-generation surveillance systems, contributing to bothscientific advancement and real-world operational capability.

Key Responsibilities

• Conduct independent and collaborative research in applied mathematics, computational modeling, and ML
• Develop algorithms with a focus on satellite data fusion and multi-source integration
• Supervise Master's students
• Collaborate with engineering teams to translate research outcomes into operational tools

Qualifications

• PhD in Mathematics or Physics
• Strong background in Partial Differential Equations, Numerical Algorithms, Functional / HarmonicAnalysis or Theoretical Physics
• Proven experience in Python for scientific computing