Postdoctoral Researcher

Prior work on the use of language models (transformers) in mathematics has opened a number of potential collaborations with theoretical physicists. A project with Stanford Linear Accelerator, on predicting the scattering amplitude of 3 gluon collisions was initiated in February. Discussions about using transformers to identify jets from the Large Hadron Collider (in CERN), and to investigate the combinatorics of Calabi-Yau polytopes, used to model the vacuum in string theory, are underway.We would like to hire a postdoc with a background in theoretical physics (high energy physics preferred, string theory or astrophysics possible), and some prior experience with AI, and in particular language models

**Postdoctoral Researcher - AI (Physics) Responsibilities**:

- Lead research on the use of language models and transformers for theoretical physics
- Engage in collaborations with external academic teams
- Serve as a bridge between the theoretical physicists and the AI researchers
- Take care of the AI side of the projects: building and tuning models, running experiments, interpreting results

**Minimum Qualifications**:

- Experience in AI: transformers, running experiments
- Experience in physics: high energy physics preferred, string theory or astrophysics possible.
- Either PhD in physics with experience in AI, or PhD in AI with background in physics.
- Computing environment : Python, Pytorch, Unix

**Preferred Qualifications**:

- Distributed environment : multi-GPU clusters, SLURM