Stellenaushang
PhD student AI-Driven Probabilistic Tools for High-Fidelity Shape Generation and CFD Predictions (all genders)
Kennziffer - AEAB / 716
• 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
Ihr berufliches Know-how:
• 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
Ansprechpartner:in im Personalbereich:
Verena Heselich, Recruiting
Tel.: +49 89 1489-9451
Ihre Bewerbung wird selbstverständlich vertraulich behandelt!
Datum der Ausschreibung: