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.
  • As a Thesis Worker at AstraZeneca, you’ll find an environment that’s full of unique opportunities and exciting challenges.
  • In this project, you will collect simulation data across various geometries, boundary conditions, and operating ranges to train AI models—including reduced order models (ROMs) and 3D AI models capable of field-to-field mappings.

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
  • uncertainty quantification
  • data generation and modeling approach
  • model credibility assessment

Nice-to-have

  • patient-centered biopharmaceutical company
  • entrepreneurial spirit
  • develop a broad skillset
  • making a difference
  • making connections

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