Bachelor Thesis (d/f/m) within Validation of Physics Informed Neural Networks PINNs
Job Description :
In order to support Embedded RTS Development, Airbus Defence and Space is looking for a
Bachelor Thesis within Validation of Physics Informed Neural Networks PINNs (d / f / m)
You are looking for a bachelor thesis? Then apply now! We look forward to you supporting us in the Embedded RTS Development team as a Bachelor student (d / f / m)!
Location : Manching
Start : 01.09.2024
Duration : 6 Months
Your location
Located about an hour’s drive north of Munich, Manching is an up-and-coming market town that offers a wide range of leisure and cultural activities.
Here, you can enjoy the quality of life in the countryside while the pleasures of near-by cities are still within easy reach.
Your benefits
Attractive salary and work-life balance with an 35-hour week (flex-time).
Mobile working after agreement with the department.
International environment with the opportunity to network globally.
Work with modern / diversified technologies.
At Airbus, we see you as a valuable team member and you are not hired to brew coffee, instead you are in close contact with the interfaces and are part of our weekly team meetings.
Opportunity to participate in the Generation Airbus Community to expand your own network
Your tasks and responsibilities
Research of PINN foundations and PINN simulator market analysis
PINN simulator validation with respect to their generic, physical characteristics and regularities
Development of PINN integration approach into an existing toolchain / framework
Validation of an appropriate application scenario (pros & cons in terms of accuracy, net size, training set size, training effort, etc.)
Desired skills and qualifications
Enrolled full-time student (d / f / m) in the area of Electrical Engineering, Information Technology, Computer Science, or an equivalent field of study
Experience with Supervised Learning / Reinforcement Learning
Knowledge of Python programming
Experience with Tensorflow / Keras / Pytorch or similar frameworks
Profound knowledge in physics desirable
Profound English or German language skills in speaking and writing
Openness and willingness to learn new methods, tools, and skills
Team-minded, willingness to work in an international and interdisciplinary team
Good communication skills and autonomous way of working
Please upload the following documents : cover letter, CV, relevant transcripts, enrollment certificate.
Not a 100% match? No worries! Airbus supports your personal growth.
Take your career to a new level and apply now!
This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.
Company :
Airbus Defence and Space GmbH
Employment Type : Final-year Thesis
Final-year Thesis
Experience Level : Student
Student
Job Family :
Support to Management
Bachelor Thesis (d/f/m) within Validation of Physics Informed Neural Networks PINNs
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