Job Description:In order to support Embedded RTS Development, Airbus Defence and Space is looking for aBachelor 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 De

Bachelor Thesis (d/f/m) within Validation of Physics Informed Neural Networks PINNs

Airbus • 
Manching, Bavaria, Germany
Position Type: Permanent
Job Description:

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 online 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

-------

Experience Level:

Student

Job Family:

Support to Management

By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.
Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.

Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom&64;airbus.com.

At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.

(Job and company information not to be copied, shared, scraped, or otherwise disseminated/distributed without explicit consent of JSfirm, LLC)

JSfirm, LLC

Roanoke, TX

jobs@jsfirm.com

JSfirm LLC, Privacy Policy

All rights reserved. 2001-2024 JSfirm