1 месяц назад
PostDoc - Uncertainty-Aware Optimization in Inverse Problems for Next-Generation 3D Scanning
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
PostDoc - Uncertainty-Aware Optimization in Inverse Problems for Next-Generation 3D Scanning (numerical optimization and medical imaging): Developing uncertainty-aware algorithms for large-scale linear least-squares problems and 3D reconstruction systems with an accent on numerical linear algebra, iterative solvers, and uncertainty quantification. Focus on designing mathematical frameworks, validating methods through simulations, and translating research into scalable software for medical 3D scanning.
Location: Copenhagen, Denmark
Company
develops dental software, 3D scanners, and CAD/CAM solutions for dental professionals and medical 3D reconstruction applications.
What you will do
- Develop methods for characterizing and modelling measurement uncertainty in medical 3D scanning data.
- Design and analyse uncertainty-aware linear least-squares optimization methods using large-scale iterative and Krylov subspace solvers.
- Create mathematical frameworks for quantifying uncertainty propagation through reconstruction and optimization algorithms.
- Design simulation studies to validate theoretical developments under realistic conditions.
- Translate mathematical models into efficient, scalable software components for production-oriented 3D scanning pipelines.
- Collaborate with DTU researchers and engineers on integration, publications, technical reports, and potential patentable innovations.
Requirements
- PhD in Mathematics, Statistics, or a related discipline, awarded after March 2021 or expected by November 2026.
- Strong expertise in numerical linear algebra, optimization, and/or inverse problems.
- Understanding of linear least-squares methods and iterative solvers, ideally based on Krylov subspace methods.
- Experience with or strong interest in uncertainty quantification, statistical modelling, or probabilistic methods.
- Strong programming skills in C#, C++, or Python; proficiency in at least one language is required.
- Ability to work independently, communicate complex mathematical concepts clearly, and collaborate in an industrial-academic environment.
Nice to have
- Familiarity with machine learning methods for data-driven modelling of complex systems.
- Strong programming skills in two programming languages.
Culture & Benefits
- Two-year fixed-term industrial postdoctoral appointment starting in January 2027, with limited flexibility in the start date.
- Research collaboration with DTU Compute and ’s Reconstruction Software Area.
- International, diverse, and collaborative environment with more than 50 nationalities in the Denmark-based office.
- Offices and R&D laboratories in central Copenhagen.
- Daily breakfast, chef-prepared lunch, social clubs, and a focus on work-life balance.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →