Estimated take-home
Monthly net after taxes & social security
€1,241/mo+
See tax calculatorRequired skills
Job description
Pabel posted this role. Below, we break down what it means for a working student in Munich: your weekly hours, take-home pay and visa limits.
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Description provided by Pabel
Deep Learning Research Intern
Pabel is an AI research lab building foundation models of functional brain biology. We're building a future where AI helps develop more effective therapies and brings precision medicine to neurology.
Our partners are the NVIDIA Inception Program, Google for Startups, and the Neurology department of LMU Klinikum Großhadern (Prof. Dr. Jan Rémi).
Tasks
- Conduct independent research on frontier foundation models for EEG and functional brain biology.
- Design, implement, and evaluate novel deep learning architectures and self-supervised learning methods in PyTorch.
- Investigate representation learning, biomarker transferability, generalization, scaling behavior, and model architectures for neurophysiological data.
- Read, reproduce, and extend the latest AI, machine learning, and computational neuroscience research.
- Write high-quality technical reports and research papers for Pabel's proprietary research library.
- Collaborate with AI researchers, neuroscientists, and clinical partners to translate scientific ideas into scalable AI systems.
Requirements
- Currently pursuing a Bachelor's or Master's degree in Artificial Intelligence, Machine Learning, Computer Science, Mathematics, or a related field.
- Strong knowledge of deep learning and modern neural network architectures.
- Excellent Python and PyTorch skills.
- Able to think from first principles rather than relying on existing solutions.
- Comfortable reading, understanding, and implementing state-of-the-art machine learning research.
- Experience with self-supervised learning, foundation models, time-series modeling, neuroscience, or EEG is a plus.
- Passionate about building frontier AI that advances our understanding of the human brain.
Benefits
- €20/hour (remote or on-site)
- Generous AI coding tool packages and GPU allocation for independent research
- Co-authorship opportunities on our published papers
- No bureaucracy, no review committees
- Potential for full-time conversion based on performance
Working student essentials
What this Tech internship in Munich means for you: the pay rules, the social contributions, and what international students should check before applying.
Weekly hours
Internships have no 20-hour cap, but a voluntary internship longer than three months generally has to pay at least the German minimum wage. Mandatory internships in your study programme are exempt.
Working student rulesSocial contributions
Mandatory internships are largely exempt from social contributions. Voluntary internships are treated like regular employment once they run long enough, so contributions usually apply.
Check your insuranceInternational students
Non-EU students can work 140 full or 280 half days per year (raised from 120/240 in March 2024). A working student contract usually fits within this — confirm the exact limits printed on your residence permit.
Studying in Germany
