PhD Position in Foundation Models and Efficient LLM Training at the University of St. Gallen
PhD position at the
Institute of Computer Science (ICS-HSG)
,
University of St. Gallen
, in the
DS-NLP Lab
with Prof. Dr. Siegfried Handschuh. The project focuses on
foundation models
,
efficient LLM training
, and
natural language processing
, with research topics including training dynamics of large language models, scaling behavior, optimization, generalization, token weighting strategies, dataset construction, and large-scale data processing.
The role combines doctoral research with teaching duties (about 2 SWS per semester), including tutorials, exercises, and supervision of Bachelor’s and Master’s theses and projects. The position also includes organizational and research-related support for the chair.
Applicants should have a master’s degree in computer science, machine learning, computational linguistics, or a related field. Strong Python skills are required. Helpful experience includes NLP/ML research, publications, PyTorch or TensorFlow/Keras, and interest in efficient training methods such as LoRA, quantization, sparsity, and distillation. A background or strong interest in linguistics or computational linguistics is especially welcome.
The position is
fully funded
and offers access to modern compute infrastructure, a collaborative international environment, and support for publishing at top-tier conferences. The post states a limited appointment starting 01.11.2026.
Apply online using
job ID 2800
via the provided application portal.