4 дня назад
Master’s Thesis, 30-45 HP: Scientific Machine Learning for Physics-Informed Inverse Problems in SAR Imaging (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Master’s Thesis, 30-45 HP: Scientific Machine Learning for Physics-Informed Inverse Problems in SAR Imaging (AI): Developing high-performance computing simulation tools and reconstruction methods for physics-informed inverse problems in synthetic aperture radar imaging with an accent on scientific machine learning, electromagnetic wave scattering, and large-scale forward simulations. Focus on designing computationally feasible inverse reconstruction methods, addressing ill-posedness, and applying PyTorch or JAX with GPU programming for time-critical radar applications.
Location: Solna, Sweden
Company
is a defence and security company developing advanced systems in aeronautics, weapons, command and control, sensors, and underwater systems.
What you will do
- Develop high-performance computing simulation tools for scientific machine learning and electromagnetic wave scattering problems.
- Build large-scale forward simulation frameworks for synthetic aperture radar imaging.
- Develop inverse reconstruction methods for ill-posed radar imaging problems.
- Apply numerical analysis, machine learning, and scientific computing to data-driven inverse problems.
- Collaborate with engineers, specialists, and researchers in signal processing, applied mathematics, and machine learning.
Requirements
- Be at the end of a Master’s program and ready to begin a 30 HP Master’s thesis; the project is suitable for 1–2 students.
- Strong foundation in computer science, machine learning, applied mathematics, statistics, physics, or a related field.
- Strong programming skills and familiarity with machine learning frameworks such as PyTorch and/or JAX.
- Ability to communicate effectively both orally and in writing.
- Ability to work independently and as part of a dynamic team.
- Security vetting is required; additional citizenship obligations may apply for positions requiring security clearance.
Nice to have
- GPU programming experience.
- Interest in scientific computing, applied physics or mathematics, and machine learning.
Culture & Benefits
- Practical support and guidance for translating theoretical knowledge into solutions.
- Work alongside experienced engineers, specialists, and researchers.
- Opportunity to contribute to next-generation intelligent sensor systems for electronic warfare.
- Environment focused on innovation, technical challenges, and professional growth.
Hiring process
- Applications are accepted until 30 September 2026.
- Security vetting is part of the process.
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