Working Student - Knowledge Informed Neural Networks as Simulation Models

Job-ID: T-TF Future Technology & Steering -22436

Working Student - Knowledge Informed Neural Networks as Simulation Models

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Students   —  Working Student 

Gifhorn

This challenge awaits you:

Are you a master’s student in engineering, physics, computer science, or a related field with interest in Deep Learning and knowledge / physics informed models? We have a fantastic opportunity for a talented and motivated student to join our team and help us adapt and develop Knowledge Informed Neural Networks (PINNs, PI-DeepONets, PINO, …) for use as simulation replacement models, e.g. in battery development or wind power applications.

Your Tasks:

• You prove the feasibility and development of knowledge-based neural network models that replace/accompany “classic” FEM-, CFD- etc. based simulation models.
• You will document the experiments and methodology.
• You will work together with our team and exchange ideas with IAV's research departments.

Necessary Skills:

• Ongoing Master's degree in engineering, physics, computer science or a related field
• Knowledge of scientific computing, preferably in Python
• Basic understanding of typical partial differential equations (Poisson, wave equation, CFD, ...)
• Experience with DL frameworks and scientific modules (Torch, TensorFlow, ...)
• Familiarity with tools for collaborative software development (e.g. git)
• Fluency in English or German to at least C1 level

Desired Skills:

• Experience with knowledge-informed neural network models (PINNs, PI-DeepONets, PINO, ...)
• Basic intuition for physical processes and plausibility of simulation results
• Knowledge of working on remote machines (Docker, Kubernetes, ssh)

Remuneration is based on our collective wage and salary agreement. The current hourly wage for this position is EUR 17.52.

You won’t just be working anywhere as a student at IAV. You’ll be right in the middle of it all. Real projects. Exciting future tasks. Completely integrated and side-by-side with IAV experts. Lots of responsibility and at the same time lots of freedom, combining university and work. The result is the best prospects for your professional development. And attractive compensation in accordance with our company wage agreements.
Diversity and equal opportunity are important to us. What matters to us is the individual, with his or her character and strengths.