Postdoctoral Scholar, AI & Science Research Initiative – Data Science Institute, U/Chicago (3 March 2022)
The University of Chicago is seeking a Postdoctoral Scholar focused on jointly advancing scientific discovery and AI. AI & Science is a major interdisciplinary research initiative at the Data Science Institute (DSI) focused on developing a new paradigm of AI-enabled scientific discovery in which AI is an integral component of the scientific method, guiding the construction of hypotheses, designing sequences of experiments, and analyzing data to develop new hypotheses, while advancing core AI principles. Scientific domains of interest include, but are not limited to, physics, astronomy, chemistry, biology, materials science, and environmental science; postdocs will explore AI, machine learning, and signal processing that leverages both training data and physical models.
The DSI is part of a vibrant and growing data science community which includes departments across campus as well as the Polsky Center for Entrepreneurship and Innovation, Argonne National Laboratory, Fermi National Accelerator Laboratory, and Toyota Technological Institute at Chicago (TTIC).
Drawing on the University of Chicago’s top-ranked programs, world-renowned faculty, as well as a vibrant and quickly expanding data science ecosystem, this is an opportunity to engage in field-defining data science and artificial intelligence research. Our positions carry a competitive salary, generous research funding stipends, and benefits.
What you’ll do:
- Interdisciplinary Research & Collaboration (90%): To extend and deepen scientific, technical, and communication skills, scholars will gain broad exposure to AI and Science research topics with collaborative work on cutting-edge research projects and no teaching responsibilities.
- Professional Development (10%): Scholars will gain training and experience with: mentoring and outreach through our summer lab and clinic programs; communicating your research to a broad audience; engaging with the media and external stakeholders; and applying for and securing funding.
What you should have:
- PhD in relevant field by start of postdoc appointment.
- Expertise in machine learning, signal processing, statistics, artificial intelligence or related field;
- Strong programming skills;
- Experience working on interdisciplinary teams;
- Excellent written communication skills demonstrated by prior publications; and
- Interest in working with interdisciplinary research teams.
Application review has been extended to March 4, 2022. However, the application will remain open until filled.
A full list of BENEFITS and application instructions can be found at their LINK.