Postdoctoral Researcher in Language Model Interpretability and Digital Humanities

Problem of Interpretation in Artificial Intelligence,” funded by the Swiss National Science Foundation, contralab is looking for a postdoctoral researcher (80%) as of 1 March 2027 or by arrangement. The project asks what large language models do to meaning when they read historical texts: it maps how eighteenth-century concepts shift across genres and decades in large historical corpora, examines how fine-tuned open-weight models represent those concepts, and releases an annotated corpus of model divergences, an open benchmark for diachronic semantic understanding, and a taxonomy of the ways models misread historical texts. Full details of the project, team and position are available on the contralab website.

Your position

You will lead the project's computational work, co-supervised by the PI and the project partner Dr. Juan Luis Gastaldi (Sorbonne University and ETH Zürich). Your tasks include:

• preparing and validating the historical corpora (OCR quality, genre and date metadata) with the project's research assistant
• fine-tuning open-weight language models on period texts (continued pretraining with parameter-efficient methods such as LoRA)
• building the attribution pipeline, with token-level SHAP checked against probing and causal-intervention methods
• running systematic model tests and controlled prompting experiments with the team's literary historians
• leading the technical side of the benchmark release (documentation, baselines, public leaderboard)
• leading or co-authoring papers at NLP and machine-learning venues and co-authoring the project's humanities publications

The position supports your own research profile and further academic qualification.

Your profile

• A doctorate (by the time of appointment) in computer science, NLP or computational linguistics, machine learning, digital or computational humanities, or a related field with a substantial computational component
• Hands-on experience training, fine-tuning and analysing transformer language models in Python (PyTorch, Hugging Face), including on GPU clusters
• Experience with interpretability methods (feature attribution, probing, activation patching, sparse autoencoders) and/or with building evaluation datasets and benchmarks
• Experience designing experiments with proper controls, baselines and statistical care, and reproducible research-software practice
• A serious interest in historical texts, literary theory and the philosophy of language, and in reading model outputs closely alongside literary historians
• Strong English; knowledge of German is welcome

Desirable: experience with historical or OCR-derived text or semantic change detection; annotation studies; released datasets or open-source tools; publications in NLP or ML venues; engagement with literary theory, historical materialism, hermeneutics, or structuralist or historical linguistics.

We offer you

A position for the duration of the project (48 months at 80%): a first contract of two years, with an extension for the remaining two years expected after a positive review. Residence in the trinational region of Basel for the duration of this project is mandatory. The terms of employment for postdocs follow the guidelines of the University of Basel and the SNSF: SNSF salary ranges and guidelines. The project provides access to sciCORE, the University's scientific computing centre, and its GPU resources. Teaching in the Digital Humanities programme may be arranged. The University of Basel stands for excellence through diversity and is committed to equal opportunities and family friendliness. International applicants are welcome; the Welcome & Euraxess Center supports relocation and permit procedures.

Application / Contact

Please submit via the online portal by 25 November 2026: your academic CV as a separate file, and a single PDF containing a cover letter (max. two pages) and one example of your research (a paper or chapter, of which only the first 25 pages will be considered, or the full URL of a code repository, dataset or digital project, provided as plain text and not as a clickable hyperlink). The university's application portal lists positions for 30 days by default; all applications received by 25 November 2026 will be given equal consideration, regardless of when they were submitted.

Please state in your cover letter whether you currently hold, or will hold, another employment alongside this position. Shortlisted candidates may be asked for letters of recommendation. Questions not answered here or on the project page may be sent to contralab@unibas.ch.