Postdoc: Interpretable LMs for Historical Texts

University of Basel

Basel

On-site

CHF 90,000 - 120,000

Part time

2 days ago
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Benefits offered by this job

sciCORE access to GPU resources
Relocation support for international/h
International research environment

Job summary

The Digital Humanities Laboratories (DHLabs) at the University of Basel invite applications for a postdoctoral researcher (80%) to start March 1, 2027 or by arrangement. You will lead the computational work for a project on probabilistic texts, fine-tune open-weight models on historical corpora, and contribute to a public benchmark with the team of literary historians and computer scientists.

Requirements include a doctorate in a computational field, hands-on experience with transformers

Qualifications

  • Doctoral degree in a computational field with substantial computation
  • Hands-on experience training and analyzing transformer models in Python
  • Experience with interpretability methods and benchmarking datasets

Responsibilities

  • Lead computational work for the project with supervision by PI and collaborators
  • Fine-tune open-weight language models on period texts using parameter-efficient methods
  • Build the attribution pipeline and validate with SHAP, probing, and causal-interventions
  • Run systematic model tests and prompting experiments with literary historians
  • Lead or co-author papers and contribute to the benchmark release and related publications

Skills

Transformer models
Python
NLP research
Experiment design
English communication

Education

Doctorate in CS/NLP/ML or related field

Tools

PyTorch
Hugging Face
GPU clusters

Job description

The Digital Humanities Laboratories (DHLabs) at the University of Basel invite applications for a postdoctoral researcher (80%) to start March 1, 2027 or by arrangement. You will lead the computational work for a project on probabilistic texts, fine-tune open-weight models on historical corpora, and contribute to a public benchmark with the team of literary historians and computer scientists.

Requirements include a doctorate in a computational field, hands-on experience with transformers

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