Reference 688G
Your New Career
Your topic: Foundation Models for Distributed Acoustic Sensing (DAS)
DAS enables long-range and high-resolution measurements along optical fibers by converting them into arrays of thousands of virtual microphones. This technology is used in a wide range of applications, including critical infrastructure monitoring and environmental monitoring. However, DAS systems generate huge amounts of high-resolution data, creating significant challenges for real-time processing and analysis.
Your Responsibilities
- Define the model architecture and self-supervised learning methods for foundation models.
- Build and curate a diverse and multi-domain DAS dataset.
- Run an iterative train-evaluate-optimize loop to experiment with self-supervised algorithms, hyperparameters, and model sizes.
- Evaluated the benefits of self-supervised foundation models against existing models using the benchmark DAS dataset.
Your Profile
- You are a master's student (m/f/d) looking for a working student position and are capable of independent work without extensive hand holding.
- You are interested in the topic of Foundation models for Distributed Acoustic Sensing.
- Academic background in computer science, mathematics, physics, or electrical engineering.
- Very good knowledge of machine learning, artificial intelligence, and, optimally, the concepts of foundation models.
- Strong programming skills in Python and hands-on experience with machine learning frameworks such as PyTorch.
- Experience with deep learning and practical project experience is required.
- Interest in applied research and real-world data challenges.
- Duration: 6 months / 20 hours per week.
Our Company
At AP Sensing, we’re building on a success story that began in the garage of Bill Hewlett and Dave Packard. As an independent HP spin-off, we combine over 40 years of technological expertise with a passion for innovation.
Together we’ll continue to enhance infrastructure, protect people, and safeguard our planet. With a commitment to fiber optic sensing, we value every voice and empower growth. Join us in thinking ahead to create a smarter, safer world.
Our Offer
Flexibility
- Flexible working hours that are compatible with your studies
Experience
- Gain hands-on experience in data science and work on technology that enhances security.
Team
- Team spirit: A motivated and friendly team that supports and encourages you
Location
- Only a 2-minute walk from the S-Bahn station with a direct connection to Stuttgart
Office Space
- You will work on site in large, bright and air-conditioned offices with height-adjustable desks and a fully equipped kitchen with a high-tech coffee machine
Are you ready to play a big role in a small team, instead of a small role in a big team?
Got questions? Call Ingrid Licht at +49 7031 309 6619 or email hr@apsensing.com. We’re happy to help! Ready to apply? Send your application to hr@apsensing.com.