Research Assistant / Doctoral Candidate in Next-Generation AI Deep Learning Architectures (m/f/d)
University of St.Gallen
St. Gallen, Schweiz
Veröffentlicht: 13.8.2024
Vollzeit
Your tasks
Participating in research within the field of Advanced Architectures such as Transformers, Recurrent Models, and Large Language Models (LLM).
Conducting research and implementing innovative modifications using TensorFlow, PyTorch, and Keras.
Rethinking and rebuilding the core mechanisms of models to enhance performance and efficiency.
Integrating state-of-the-art techniques such as attention mechanisms, sequence modeling, and neural network optimization.
Your profile
Possess a Master's degree in Computer Science, Data Science, or a related field, demonstrating a solid foundation in technical knowledge
Proficient in Python programming, showcasing strong coding skills including the development and substantial modifications of module classes in TensorFlow and Keras
Ability to understand complex problems and solving them efficiently
Familiarity with state-of-the-art techniques in deep learning
Knowledge of Large Language Model (LLM) architectures, such as Generative Pre-trained Transformer models, is a plus
Willingness to learn and work with advanced machine learning development stacks
Exhibits a work ethic that is diligent, responsible, structured, goal-oriented, and independent
Good communication abilities and interpersonal skills
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