Important Info

Faculty Sponsor (Last, First Name): 
Saberi, Amin
Stanford Departments and Centers: 
Mgmt Sci & Engineering
Postdoc Appointment Term: 
One year with the possibility of extension
Appointment Start Date: 
9/30/2025
How to Submit Application Materials: 

Interested applicants should contact stanfordLDR@gmail.com

Does this position pay above the required minimum?: 
Yes. The expected base pay range for this position is listed in Pay Range field. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the qualifications of the selected candidate, budget availability, and internal equity.
Pay Range: 
70,000-100,000

We are looking for a postdoctoral researcher to contribute to cutting-edge research at the intersection of language models, data, and reasoning. The postdoc will be part of Stanford Language, Data, and Reasoning (LDR) lab under the direction of Professor Amin Saberi, and will have a chance to collaborate closely with other members of the lab including professors Mirhosseini, Vitercik, and Yang.

The postdoc will be expected to help define the research questions of interest, and lead both empirical and methodological research efforts towards publication, working together with student collaborators. Teaching is not required as part of this position.

Required Qualifications: 
  • Strong mathematical background, including expertise in one or more of the following areas: machine learning, statistics, and algorithms. Ph.D. (ideally completion by Summer 2025) in computer science, statistics, operations research, or related fields.
  • Prior experience working with data, including expertise with computational methods 
  • Prior experience building ML systems, designing and running experiments in PyTorch or JAX
  • Strong publication record in top machine learning conferences (e.g. NeurIPS, ICML, ICLR). A strong background in theory is a plus. 

 

Required Application Materials: 
  • A description of why you are a good fit for the position 
  • Current CV 
  • Up to three representative publications 
  • Contact information for two references. 

 

Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.