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- Aufgaben: Dive into validating Physics Informed Neural Networks and enhance your research skills.
- Arbeitgeber: Join Airbus Defence and Space, a leader in aerospace innovation and technology.
- Mitarbeitervorteile: Enjoy flexible hours, mobile work options, and a competitive salary in a vibrant town.
- Warum dieser Job: Be part of an international team, gain hands-on experience, and expand your professional network.
- Gewünschte Qualifikationen: Must be a full-time student in Electrical Engineering, IT, or Computer Science with Python skills.
- Andere Informationen: Opportunity to participate in the Generation Airbus Community for networking.
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Bachelor Thesis (d/f/m) within Validation of Physics Informed Neural Networks PINNs, Manching
Client:
Location: Manching, Germany
Job Category: Other
EU work permit required: Yes
Job Reference: 12e33fc9926a
Job Views: 15
Posted: 23.01.2025
Expiry Date: 09.03.2025
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)!
Start: 01.09.2024
Duration: 6 Months
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.
Attractive salary and work-life balance with a 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.
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.
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Bachelor Thesis (d/f/m) within Validation of Physics Informed Neural Networks PINNs Arbeitgeber: TN Germany
Kontaktperson:
TN Germany HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Bachelor Thesis (d/f/m) within Validation of Physics Informed Neural Networks PINNs
✨Tip Number 1
Familiarize yourself with Physics Informed Neural Networks (PINNs) and their applications. Understanding the foundational concepts will not only help you during the interview but also demonstrate your genuine interest in the topic.
✨Tip Number 2
Engage with online communities or forums related to machine learning and neural networks. Networking with professionals in the field can provide insights and potentially valuable connections that may help you during the application process.
✨Tip Number 3
Brush up on your Python programming skills, especially with frameworks like TensorFlow, Keras, or PyTorch. Being able to discuss your experience and projects using these tools will set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your previous projects or coursework that relate to supervised learning or reinforcement learning. Highlighting relevant experiences will show your capability and readiness for the tasks outlined in the job description.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Bachelor Thesis (d/f/m) within Validation of Physics Informed Neural Networks PINNs
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Bachelor Thesis position. Understand the tasks and responsibilities, as well as the desired skills and qualifications. This will help you tailor your application.
Craft a Tailored Cover Letter: Write a cover letter that specifically addresses how your background in Electrical Engineering, Information Technology, or Computer Science aligns with the requirements of the thesis. Highlight your experience with Python and any relevant frameworks like Tensorflow or Keras.
Highlight Relevant Experience: In your CV, emphasize any projects or coursework related to Supervised Learning, Reinforcement Learning, or physics. Include specific examples that demonstrate your knowledge and skills in these areas.
Prepare Required Documents: Ensure you have all necessary documents ready for submission: your cover letter, CV, relevant transcripts, and enrollment certificate. Double-check that everything is up-to-date and formatted correctly before uploading.
Wie du dich auf ein Vorstellungsgespräch bei TN Germany vorbereitest
✨Understand the Basics of PINNs
Make sure you have a solid understanding of Physics Informed Neural Networks (PINNs) and their applications. Be prepared to discuss how they work and their significance in your field of study.
✨Showcase Your Technical Skills
Highlight your experience with Python and frameworks like TensorFlow, Keras, or PyTorch. Be ready to provide examples of projects or coursework where you've applied these skills.
✨Demonstrate Your Research Abilities
Discuss any previous research or projects related to supervised learning or reinforcement learning. This will show your capability to conduct the necessary market analysis and validation tasks.
✨Communicate Effectively
Since this role involves working in an international team, practice your communication skills in both English and German. Be clear and concise when explaining your ideas and experiences.
