About this role
• Job Description
This Industrial Postdoctoral position offers a unique opportunity to bridge academic research and industry innovation. 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 both scientific 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 / Harmonic Analysis or Theoretical Physics
- Proven experience in Python for scientific computing
- Familiarity with C++, GPU acceleration, or high-performance computing is an advantage
- Ability to work both independently and within interdisciplinary teams
Requirements