PhD student AI-Driven Probabilistic Tools for High-Fidelity Shape Generation and CFD Predictions (all genders)

Stellenaushang

PhD student AI-Driven Probabilistic Tools for High-Fidelity Shape Generation and CFD Predictions (all genders)

Reference - AEAB / 716

Your Tasks:

•   Develop and validate advanced generative models for high-fidelity shape generation and CFD applications
•   Develop and implement AI-based probabilistic tools for aerodynamic simulation of compressors
•   Validate models through simulations and benchmark datasets
•   Collaborate with experts in compressor design to ensure practical applicability

Requirements:

•   Master’s degree in aerospace engineering, computer science, applied mathematics, or a related field
•   Strong background in CFD, AI, and probabilistic modeling
•   Proficiency in programming in PyTorch and Python
•   Excellent analytical and problem-solving skills
•   Ability to work independently and in a collaborative research environment

HR Contact Person:
Verena Heselich, Recruiting
Tel.: +49 89 1489-9451

Your application will be treated confidentially!