Postdoc: Uncertainty-Aware Inverse Problems for 3D Scanning

3Shape; København; On-site; DKK 450,000 - 600,000; Full time

Benefits offered by this job

Breakfast every day

Healthy lunch by private chefs

Social clubs and activities

Good work/life balance

Downtown Copenhagen offices

Job summary

3Shape, in collaboration with DTU Compute, invites applications for an Industrial Postdoctoral position starting January 2027. The two-year fixed-term role focuses on uncertainty-aware reconstruction in medical 3D imaging, combining numerical linear algebra, optimization, and large-scale least squares.

You will work across academia and industry, shaping both theory and software prototypes for production-oriented 3D scanning systems, with opportunities to publish and to contribute to new patents.

Qualifications

• PhD in Mathematics, Statistics, or a related discipline (awarded after Mar 2021 or by Nov 2026).
• Demonstrated expertise in numerical linear algebra, optimization, and/or inverse problems.
• Strong programming skills in at least one language (C#, C++, or Python).
• Experience with uncertainty quantification or probabilistic modeling is advantageous.

Responsibilities

• Contribute to theoretical foundations and practical implementations of uncertainty-aware reconstruction algorithms.
• Model uncertainty, design iterative solvers, and develop scalable methods for large-scale linear least squares.
• Translate theory into production-ready software for medical 3D reconstruction systems.
• Collaborate with DTU Compute and 3Shape researchers to publish findings and advance tooling.

Skills

Numerical linear algebra

Optimization

Inverse problems

Programming

Education

PhD in Mathematics/Statistics or related

Tools

C#

C++

Python

Job description

3Shape, in collaboration with DTU Compute, invites applications for an Industrial Postdoctoral position starting January 2027. The two-year fixed-term role focuses on uncertainty-aware reconstruction in medical 3D imaging, combining numerical linear algebra, optimization, and large-scale least squares.

You will work across academia and industry, shaping both theory and software prototypes for production-oriented 3D scanning systems, with opportunities to publish and to contribute to new patents.