Postdoc: Stratocumulus Cloud Microphysics & LES Modeling

Delft University of Technology

Delft

On-site

EUR 41,000 - 64,000

Full time

10 days ago
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Benefits offered by this job

Excellent pension (ABP)
Relocation support
Education and training opportunities
Flexible leave and hours

Job summary

TU Delft invites applications for a PostDoc position in measuring and simulating low clouds as part of the TurPhyCloud ERC Synergy project. You will work with an international team on high-resolution in-situ measurements and the MiLES model to advance understanding of stratocumulus cloud microphysics.

The role requires a PhD and strong CFD background with Python/Fortran/C++ skills, plus experience with RANS/LES and remote sensing.

Qualifications

  • PhD in climate science, physics, mathematics or computer science.
  • Solid CFD background and programming in Python/Fortran/C++.
  • Experience with in-situ and remote sensing measurements of atmospheric turbulence.
  • Experience with CFD tools, such as RANS or LES models.

Responsibilities

  • Co-develop measurement and simulation strategies during field campaigns.
  • Co-design data management for the project.
  • Analyze measurement and simulation results to improve understanding of microphysics-turbulence-radiation interactions in stratocumulus clouds.
  • Collaborate across departments and international partners; present findings at meetings.

Skills

CFD background
Python programming
Fortran programming
C++ programming
Visualization tools
Analytical skills

Education

PhD degree

Tools

RANS models
LES models
In-situ instruments
Drones equipment

Job description

TU Delft invites applications for a PostDoc position in measuring and simulating low clouds as part of the TurPhyCloud ERC Synergy project. You will work with an international team on high-resolution in-situ measurements and the MiLES model to advance understanding of stratocumulus cloud microphysics.

The role requires a PhD and strong CFD background with Python/Fortran/C++ skills, plus experience with RANS/LES and remote sensing.

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