Postdoctoral Researcher in DAS Signal Processing & AI
Focus on developing deep learning frameworks for Distributed Acoustic Sensing (DAS) denoising, signal reconstruction, and automatic microseismic event location.
Key Qualifications & Skills:
- PhD in Geophysics, Applied Mathematics, Computational Physics, or AI
- Strong publication record in signal processing or seismic data inversion
- Proficiency in Python (PyTorch/TensorFlow) and C++/CUDA