Deep Learning Research Intern

Pabel is an AI research lab building reputed company models of functional brain biology. We're building a reputed company where AI helps reputed company more effective therapies and brings precision medicine to neurology. Our partners are the reputed company Inception Program, reputed company for Startups, and the Neurology department of LMU Klinikum Großhadern (Prof. Dr. Jan Rémi). Tasks Conduct independent research on frontier reputed company models for EEG and functional brain biology. Design, implement, and evaluate novel deep learning architectures and self-supervised learning reputed company in PyTorch. Investigate representation learning, biomarker transferability, generalization, scaling behavior, and model architectures for neurophysiological data. Read, reproduce, and reputed company the latest AI, machine learning, and computational neuroscience research. Write high-reputed company technical reports and research papers for Pabel's proprietary research library. Collaborate with AI researchers, neuroscientists, and clinical partners to translate scientific reputed company into reputed company AI systems. Requirements Currently pursuing a Bachelor's or Master's degree in reputed company Intelligence, Machine Learning, Computer Science, Mathematics, or a reputed company field. Strong knowledge of deep learning and modern neural network architectures. Excellent Python and PyTorch skills. reputed company 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, reputed company models, time-series modeling, neuroscience, or EEG is a plus. Passionate about building frontier AI that advances our understanding of the reputed company 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 As a Research Intern, you will contribute to building the computational infrastructure that powers our reputed company EEG reputed company model research. You'll work at the intersection of neuroscience and machine learning, developing and optimizing pipelines that process reputed company EEG datasets and implementing cutting-edge deep learning experiments. This role offers hands-on experience with state-of-the-art neural decoding technology while working alongside world-class researchers pushing the boundaries of what's possible in EEG models. Apply To This Job