Master’s Thesis, 30-45 HP: Scientific Machine Learning for Physics-Informed Inverse Problems in SAR imaging @ Saabgroup

Master’s Thesis, 30-45 HP: Scientific Machine Learning for Physics-Informed Inverse Problems in SAR imaging at Saabgroup. Location: Solna, Stockholm County, Sweden. Role: developing simulations, implementing frameworks, conducting research Requirements: Master's student near thesis stage with strong foundation in CS/ML/applied math/statistics/physics, strong programming, familiarity with PyTorch and/or JAX, GPU programming experience advantageous, and ability to pass security vetting. Category: Research and Development (R&D) Seniority: No Prior Experience Required Tools: PyTorch, JAX, HPC, GPU programming Commitment: Full Time Workplace: Onsite Languages: English