The Job

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

Teknik, data och digitalt · Data, AI och analys · Maskininlärning · Mjukvaruutveckling · Datavetenskap

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I korthet

This Master's Thesis project at Saab in Solna, Sweden, focuses on developing high-performance computing (HPC) simulation tools using Scientific Machine Learning (SciML) for Physics-Informed Inverse Problems in Synthetic Aperture Radar (SAR) imaging. The project aims to address ill-posedness in SAR imaging by integrating learned algorithms with physical laws, requiring strong programming skills in frameworks like PyTorch or JAX. Suitable for 1-2 master's students nearing completion of their program.

Ansvarsområden

  • Develop high-performance computing (HPC) simulation tools from SciML.
  • Integrate learned algorithms with physical laws and domain knowledge.
  • Address issues in ML related to model accuracy, efficiency, and interpretability.
  • Develop reconstruction methods with significantly better performance.
  • Facilitate large scale forward simulations.
  • Aid in developing novel methods for large-scale data-driven inverse problems based on SciML.

Krav

  • Student at the end of their Master’s program.
  • Interest in scientific computing, applied physics/mathematics, and machine learning.
  • Strong programming skills.
  • Familiarity with common machine learning frameworks, such as PyTorch and/or JAX.
  • Ability to communicate efficiently both orally and in writing.
  • Ability to work independently and as part of a dynamic team.
  • Must pass a security vetting.

Önskade kvalifikationer

  • Background in computer science, machine learning, applied mathematics, statistics, physics or any related field.
  • Familiarity with GPU programming is highly advantageous.

Förmåner

  • Opportunity to collaborate with experienced engineers and specialists.
  • Gain invaluable practical experience.
  • Make a tangible contribution to company growth and development.
  • Support and guidance to translate theoretical knowledge into practical solutions.
  • Become a driving force behind Saab's technological advancements.
#scientific machine learning#physics-informed#inverse problems#SAR imaging#high-performance computing#machine learning#applied mathematics#physics#computer science#statistics
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Företag

Saab

Publicerade jobb

för 1 månad sedan

Upphör

om 1 vecka

Anställningstyp

Praktik

Arbetsform

På plats

Erfarenhetsnivå

Junior

Platser

Solna, Sweden

Kvalifikation

Masterexamen

Sökande

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