University of Wisconsin - Madison, Data Science Institute

Position ID:University of Wisconsin - Madison-Data Science Institute-POSTDOC [#23384]
Position Title: Postdoc - Research Associate
Position Type:Postdoctoral
Position Location:Madison, Wisconsin 53706, United States [map] sort by distance
Subject Area: Data Science / Deep Learning
Appl Deadline:2022/12/01 11:59PMhelp popup finished (2022/10/20, finished 2023/06/03)
Position Description:   Remote  

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Position Requirements:

Competitive candidates will have a PhD in Physics, Computer Science, Statistics, Mathematics, or a closely related field. The successful candidate will have significant experience with deep learning (ideally with the transformer architecture or other language models), be proficient in creating, training, and evaluating deep learning models, have experience manipulating and preparing unique datasets, and be comfortable working on a problem that involves abstract mathematics and theoretical physics. Applicants should have strong technical writing and presentation skills and must be willing to work closely with team members in person and remotely.

Position Duties:

The successful candidate will work under the supervision of Kyle Cranmer, the Director for UW-Madison’s Data Science Institute and Professor of Physics with courtesy appointments in Computer Science and Statistics. The candidate will be expected to collaborate remotely with a team of collaborators which include Lance Dixon at Stanford Linear Accelerator Center (SLAC), and other collaborators at Meta AI (based in France) and the Niels Bohr Institute (Copenhagen). The starting point of this research will be exploring the use of transformers (a type of AI model used for natural language and other symbolic types of data) to predict coefficients found in quantum mechanical scattering amplitudes. The ultimate goal is to decipher the analytic structure of scattering amplitudes in quantum chromodynamics and a related theory, planar N=4 super-Yang-Mills theory. Closely related exploratory research is also expected. Travel to collaborator locations and to present findings will also take place. The successful candidate will also have the opportunity to participate in a thriving data science and machine learning environment at the University of Wisconsin-Madison. This is a full-time position and is available immediately. The appointment is for up to three years.

Application Materials Summary:

- Cover letter addressing the candidate’s preparation to take on this project and reasons for interest in the project.

- Curriculum Vitae with list of research publications, relevant contributions to field, and experiences.

- A document that briefly describes machine learning projects the candidate has undertaken, what aspects of the ML pipeline the candidate was responsible for (e.g. data preparation, coding the model, training the model, hyperparameter optimization, etc.), which tools were used (e.g. PyTorch, Tensorflow, JAX), ideally with links to code and/or papers.

- Contact information for two or three references letters (to be submitted by the reference writers).

Application Materials Required:
Submit the following items online at this website to complete your application:
And anything else requested in the position description.

Further Info:
email address
Data Science Institute
University of Wisconsin, Madison
McArlde Building
447 Lorch St.
Madison, WI 53706