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Master’s Thesis, 30-45 HP: Scientific Machine Learning for Physics-Informed Inverse Problems in SAR imaging at SAAB Aktiebolag - ApplyBlast

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

SAAB Aktiebolag

4 months ago

Stockholm, Sweden

Hybrid

Full Time

Intern

0 applicants

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About this role

This Master's thesis opportunity at Saab invites students to develop high-performance computing simulation tools for scientific machine learning within physics-informed inverse problems in synthetic aperture radar (SAR) imaging. The role focuses on creating robust reconstruction methods that are computationally feasible for time-critical radar applications involving electromagnetic wave scattering.

Responsibilities

Develop high-performance computing simulation tools for scientific machine learning
Solve ill-posed inverse problems in synthetic aperture radar imaging
Design novel methods for large-scale data-driven physics-informed reconstruction
Collaborate with engineering teams on next-generation sensor systems
Implement frameworks facilitating large-scale forward simulations

Skills

Qualifications

Master's Degree in progress in Computer Science, Machine Learning, Applied Mathematics, Statistics, Physics, or related field

About SAAB Aktiebolag

saab.com

Headquarters

Stockholm, Stockholm, Sweden

Company Size

10001+ employees

Founded

1937

View Profile

Saab is a Swedish defence and security company founded in 1937 that serves governments, authorities, and corporations across the global market. The company offers products, services, and solutions spanning military defence and civil security, including fighter aircraft, naval systems, ground-based air defence, radar technology, and cyber security. Saab operates in over 30 countries and sells its products to more than 100 nations worldwide.