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

AstraZeneca

Gothenburg, Sweden
Ai models for prediction
3d cfd simulations
Hydrodynamic and mixing metrics
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.
  • 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.
  • We offer reasonable adjustments/accommodations to help all candidates to perform at their best.

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 for prediction
  • 3D CFD simulations
  • Hydrodynamic and mixing metrics
  • Reduced order models (ROMs)
  • Field-to-field mappings
  • Cross-validation and uncertainty quantification

Nice-to-have

  • Entrepreneurial spirit
  • Pushing boundaries of science
  • Making a difference 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