Postdoc: Uncertainty-Aware Optimization for 3D Scanning

3Shape; København; On-site; DKK 450,000 - 510,000; Full time

Benefits offered by this job

Breakfast daily

Healthy lunch by private chefs

International, diverse team

Good work-life balance

Modern offices in Copenhagen

Job summary

3Shape and DTU Compute invite applications for a 2-year Industrial Postdoctoral position starting January 2027, focused on uncertainty-aware reconstruction algorithms for medical 3D imaging. The role blends theory and practical software development, with collaboration across academia and industry.

The successful candidate will advance uncertainty quantification in large-scale linear least squares, implement scalable solvers, and contribute to publications and production-oriented 3D scanning

Qualifications

• PhD in Mathematics, Statistics, or a related discipline with post-2021 award or expected by Nov 2026.
• Strong background in numerical linear algebra, optimization, and inverse problems.
• Experience with Krylov-subspace methods, large-scale solving, and uncertainty modelling.

Responsibilities

• Develop uncertainty-aware reconstruction algorithms for medical 3D imaging.
• Characterize measurement uncertainty in 3D scanning data with data-driven approaches.
• Implement and analyse large-scale iterative solvers and algorithms.
• Collaborate with DTU Compute and 3Shape engineers to deploy methods.
• Contribute to publications, software prototypes, and innovation activities.

Skills

Numerical linear algebra

Optimization

Uncertainty quantification

Krylov subspace methods

Programming: C#/C++/Python

Education

PhD in Mathematics/Statistics or related

Tools

C#

C++

Python

Job description

3Shape and DTU Compute invite applications for a 2-year Industrial Postdoctoral position starting January 2027, focused on uncertainty-aware reconstruction algorithms for medical 3D imaging. The role blends theory and practical software development, with collaboration across academia and industry.

The successful candidate will advance uncertainty quantification in large-scale linear least squares, implement scalable solvers, and contribute to publications and production-oriented 3D scanning