PhD in Foundation Models & Efficient LLM Training

Universität St.Gallen; Sankt Gallen; Vor Ort; CHF 48.000 - 64.000; Vollzeit

Zusammenfassung

Universität St.Gallen invites applications for a fully funded PhD position focusing on foundation model training and efficient learning methods. You will pursue your doctoral thesis under supervision in a collaborative, international research environment.

Responsibilities include research on training dynamics of large language models, integrating linguistic insights, teaching duties, and supporting organizational tasks at the chair.

Qualifikationen

• Master's degree in CS, ML, computational linguistics, or related field.
• Strong Python programming skills.
• Desirable: publications in NLP/ML.

Aufgaben

• Work on your doctoral thesis in foundation model training and efficient learning methods.
• Design and conduct research on training dynamics of large language models, incl. scaling, optimization, generalization.
• Incorporate linguistic insights into language model development and analysis, focusing on token weighting strategies.
• Engage in teaching activities (≈2 SWS/semester) including tutorials, exercises, supervision of theses, and projects.
• Support the chair in organizational and research-related tasks.

Kenntnisse

Python

PyTorch

NLP basics

Ausbildung

Master's degree in CS/ML/Computational Linguistics

Tools

TensorFlow/Keras

Jobbeschreibung

Universität St.Gallen invites applications for a fully funded PhD position focusing on foundation model training and efficient learning methods. You will pursue your doctoral thesis under supervision in a collaborative, international research environment.

Responsibilities include research on training dynamics of large language models, integrating linguistic insights, teaching duties, and supporting organizational tasks at the chair.