Position Start Date: August 15, 2026 (negotiable)
Specialty Areas: Computational Linguistics, Language Acquisition, Cognitive Modeling, Machine Learning
The Department of Linguistics at the University of Michigan invites applications for a one-year Postdoctoral Research Fellow, with the possibility of renewal for a second year, to work with Dr. Huteng Dai on computational modeling of language acquisition. The postdoc will play a central role in developing publishable research that connects formal inductive biases, modern language modeling, and human language acquisition.
We are especially interested in candidates who are excited to build and analyze language models that go beyond standard scaling approaches, including work such as:
- Inductive bias and learnability, especially structural biases rooted in formal language theory
- Computational models of language acquisition, especially building models for phonological and syntactic learning
- Mechanistic interpretability and controlled evaluation of language models
- Model human alignment, relating model behavior to behavioral (and potentially neural data) data
The overarching goal is to produce rigorous, high-impact work that treats language models as scientific objects.