Thesis Work, 30 Credits - Ai Surrogates From 3d Cfd For Fast Prediction And Accelerated Process Development

AstraZeneca

Gothenburg, Sweden
Ai models from 3d cfd
Reduced order models (roms)
Field-to-field mappings
This thesis offers the opportunity to build AI models that predict key hydrodynamic and mixing metrics at a fraction of the runtime compared to traditional 3D mechanistic simulations

Job Summary

  • This thesis offers the opportunity to build AI models that predict key hydrodynamic and mixing metrics at a fraction of the runtime compared to traditional 3D mechanistic simulations.
  • The project aims to enable efficient exploration and optimization of process design spaces by delivering robust, high-accuracy surrogate models.
  • As a Thesis Worker at AstraZeneca, you’ll find an environment that’s full of unique opportunities and exciting challenges.

Matching Summary

This thesis offers the opportunity to build AI models that predict key hydrodynamic and mixing metrics at a fraction of the runtime compared to traditional 3D mechanistic simulations.

Skills & Requirements

Must-have

  • AI models from 3D CFD
  • reduced order models (ROMs)
  • field-to-field mappings
  • cross-validation and uncertainty quantification
  • end-to-end workflow development
  • data generation and modeling approach

Nice-to-have

  • push the boundaries of science
  • entrepreneurial spirit
  • develop a broad skillset
  • deliver real value for patients

Key Requirements

  • Enrolled in a Swedish’s University
  • Enrolled in a Master's program
  • Prior knowledge of transport phenomena
  • Prior knowledge of AI/ML
  • Prior knowledge of CFD

Work Rights

Enrolled in a Swedish’s University

Tailored Resume

Cover Letter