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Danmark: Postdoc Position, Computational UQ


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The Technical University of Denmark opens a 2-year Postdoc position starting August 2023. It is part of the research project CUQI:
Computational Uncertainty Quantification for Inverse problems https://sites.dtu.dk/cuqi.

We create a platform for modeling and computations needed to apply UQ to a range of inverse problems. This position focuses on further development of our package CUQIpy https://cuqi-dtu.github.io/CUQIpy  including development of the underlying computational methods.

You will join the developer team and play an integral role in expanding CUQIpy for a wide range of inverse problems and UQ analyses. You will interact with the CUQI team to ensure that our theory and methods are put into optimal use. Research directions may include:

  • - Design, abstraction & implementation of Bayesian methods.
  • - Approximation methods for high-dimensional complicated posteriors.
  • - Scalable optimization-based samplers (such as RTO).
  • - Sampling methods exploiting gradient information.
  • - Support and training of CUQIpy users.

CUQIpy is developed in a highly collaborative GitHub-centered workflow with regular programming sessions, code reviews, sprints, and hackathons. We offers rich opportunities to build a profile in scientific software development and computational UQ for inverse problems.

For more details and to apply (deadline June 1, 2023), see: efzu.fa.em2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/1650/?utm_medium=jobshare

Per Christian Hansen and Jakob Sauer Jorgensen, DTU Compute

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