Research Assistant / Doctoral Candidate in Next-Generation AI Deep Learning Architectures (m/f/d)
- 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.
- 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
- Proficiency in English
- Proficiency in German is a plus
"A place where knowledge is created" - As one of Europe's leading universities of economics and business administration, the University of St.Gallen (HSG), Switzerland, is committed to the education of over 9800 students. The HSG is one of the largest employers in the region and provides an attractive and innovative environment for more than 3300 researchers, educators and professional staff.
CH-9000 St. Gallen / St. Gallen / St.Gallen / Zürich