Professional, postdoctoral, and student opportunities 

Interested in becoming part of the AI2ES Center? Open positions funded by the Center are listed here.

Contact links with details are provided in each listing.  Apply to each position directly, not through this site.

University of Oklahoma

Postdoctoral research in trustworthy AI for weather and climate

Location: Norman, OK, USA

The NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES) is hiring our next round of postdocs! This ad is specifically for an opening to start January 2023 (negotiations on start date are possible).
AI2ES brings together universities, government, and private industry to develop trustworthy AI for environmental science. AI2ES is uniquely benefiting humanity by developing novel, physically based AI techniques that are demonstrated to be trustworthy, and will directly improve prediction, understanding, and communication of high-impact environmental hazards.

AI2ES brings together universities, government, and private industry to develop trustworthy AI for environmental science. AI2ES is uniquely benefiting humanity by developing novel, physically based AI techniques that are demonstrated to be trustworthy, and will directly improve prediction, understanding, and communication of high-impact environmental hazards.

We are looking for a postdoc with expertise in machine learning and atmospheric science. This postdoc will be located at the University of Oklahoma in Norman OK and will work with Dr. Amy McGovern, the PI and director of the AI2ES institute. The postdoc will also collaborate with other institute personnel at OU in the School of Computer Science and the School of Meteorology as well as with personnel across AI2ES. This is an exciting position that will allow the postdoc to work at the forefront of the development of trustworthy AI for a variety of environmental science applications.

This position is part of a large multi-institutional institute and there are postdocs located throughout the partner institutions. The University of Oklahoma is the lead and the partners include Colorado State University, the University at Albany, the University of Washington, North Carolina State University, Texas A&M University-Corpus Christi, Del Mar College (Corpus Christi), Central Michigan University, the National Center for Atmospheric Research, Google, IBM/The Weather Company, NVIDIA, Disaster Tech, MyRadar, Vaisala, Parc, Radiant Earth, TruWeather, the National Oceanic and Atmospheric Administration and the NOAA Center for AI and NIST.


Link to position details and application

The University at Albany Atmospheric Sciences Research Center (ASRC)

Postdoctoral Associate

Location: Albany, NY, USA

The University at Albany (UA) Atmospheric Sciences Research Center (ASRC) in Albany, NY seeks one postdoctoral associate with background in machine learning and/or the physical sciences (preferably atmospheric science).

AREA OF RESEARCH: Identification of Precipitation Type

Identification of precipitation type remains a major source of uncertainty for forecasters, particularly during winter. Research on this complex problem is critical as different precipitation types can be hazardous and wreak havoc on a number of sectors including transportation and utilities. Because the thermodynamic profiles that lead to different precipitation types can be quite similar, making the identification of precipitation type all that more difficult.
The state of New York provides a unique opportunity to tackle this problem: (1) A diverse geographical landscape spanning multiple climate regimes, (2) highly susceptible to all types of winter weather precipitation, and (3) home to the state-of-the-art highly dense NY State Mesonet. This network not only includes 126 surface stations across the state, but also 17 profiler sites with over 5 years of data, ripe with opportunity to explore the vertical profile of the atmosphere.
UA seeks a postdoctoral research associate to join the AI2ES team to lead the development of a model aiming to improve on predictions of precipitation type in the state of NY. The researcher will be responsible for developing machine-learned models and employing statistical techniques to identify patterns in meteorological (e.g., NYS Mesonet) and non-meteorological (e.g., power outages) datasets. The student will also be responsible for the visualization of results actionable to the end-user. Collaboration with NY State sectors are expected, as well as emergency managers and decision makers.


(1) PhD in Atmospheric Science, Computer Science, or similar.
(2) Strong command of computational techniques, including Python and Linux CLI.
(3) Effective communication & presentation skills.

For more information, contact Drs. Christopher Thorncroft (cthorncroft@albany.edu), Kara Sulia (ksulia@albany.edu),  and Nick Bassill (nbassill@albany.edu).

Disaster Tech

Research Assistant

Location: remote

Position Summary

Disaster Tech has developed an emergency management platform, the Data science Integrated Collaboration Environment (DICE), which pulls in a wide range of data that is analyzed and visualized. This gives emergency managers a comprehensive overview of an incident for better situational awareness and easy communication. Interns will work closely with members of the science and engineering team to conduct independent research on projects that support the science and tee hnology road maps. Applicants from a broad range of academic backgrounds (e.g., earth sciences, computer science, decision science) are encouraged to apply. Preference is given to candidates enrolled in a 4-year undergraduate degree program entering their junior or senior year. Graduate students are also encouraged to apply. This position is a 10-week paid internship of 10 hours a week starting in June. Pay is between $15 – $20 an hour based on skills and experience. This internship is fully remote.

Potential Research Project Areas

  • Fire weather prediction and risk assessment
  • Power outage prediction and validation
  • Intelligent transportation systems evaluation
  • Social science – evaluating human decision making and user experience on DICE
  • Applying machine learning to evaluate risk and optimize planning or response decisions

Preferred Skills and Experience

  • Aptitude and attitude to learn about the nexus of emergency management, science, and technology
  • Basic understanding of the use of open data and open-source software
  • Work independently with minimal supervision
  • Have effective and clear communication skills
  • Has some data analysis experience using one or more software packages
  • GIS knowledge of processing and managing vector and raster data
  • Some understanding or awareness of machine learning capabilities and application

Company Overview

Disaster Tech is a practitioner led public benefit company that provides risk managers with innovative tools to prepare for disasters, build resilient communities, and mitigate risk. Through industry experts, a world-class science and engineering team, and partnerships with academia, public, and private sectors, Disaster Tech is disrupting the way in which emergency management has been done by creating new and innovative decision science technologies.

Disaster Tech is an equal opportunity employer. Al I qualified applicants wi II receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, veteran status, and other classifications covered under federal, state, or local laws. Auxiliary aids and services are available upon request to individuals with disabilities.


To apply: Send a cover letter and resume to Jay Shafer at jason@disastertech.com by Tuesday, April 26.



PARC, a Xerox company

Postdoctoral Position in Development of AI/ML models for Large-scale climate effects

We are looking for a postdoctoral researcher with expertise in applying AI models for climate to join Palo Alto Research Center to work on a project funded by DARPA AI-Assisted Climate Tipping point Modeling (ACTM).

We are seeking an energetic, enthusiastic individual for a postdoctoral research position on using state-of-the-art Artificial Intelligence methods for optimizing global-scale climate interventions. The postdoctoral fellow will work collaboratively with climate dynamics researchers at the University of Victoria to create a climate response function that maps the regional (shortwave) cloud radiative effect to the large-scale coupled (atmosphere and ocean) circulation and regional climate.

We expect the successful candidate to have the following background and expertise:

  • Knowledge and experience in applying state-of-the-art AI methods for climate/weather data
  • Experience with processing Earth System models (CESM, E3SM);
  • Experience with handling, processing, and analyzing large climate model output datasets (from CMIP5 or CMIP6);
  • Experience with scientific computing and data analysis using Python;
  • Experience working as a collegial team member in an interdisciplinary group of scientists; and
  • Commitment to meeting project deadlines.

Minimum qualifications for this postdoctoral position include the following:

  • A PhD in Computer science, Atmospheric Sciences, Physical Oceanography, Applied Mathematics, or a related field.
  • Experience in developing machine learning and deep learning architectures, particulatly for climate and weather applications
  • Experience with scientific computing and high-performance computing on parallel architectures.
  • Experience in common deep learning frameworks (Tensorflow, Pytorch)

PARC, a Xerox company, is in the Business of Breakthroughs. Practicing open innovation, we provide custom R&D services, technology, expertise, best practices, and intellectual property to Fortune 500 and Global 1000 companies, startups, and government agencies and partners. We create new business options, accelerate time to market, augment internal capabilities, and reduce risk for our clients. Since its inception, PARC has pioneered many technology platforms – from the Ethernet and laser printing to the GUI and ubiquitous computing – and has enabled the creation of many industries. Incorporated as an independent, wholly owned subsidiary of Xerox in 2002, PARC today continues the research that enables breakthroughs for our clients’ businesses.

Xerox is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, creed, religion, ancestry, national origin, age, gender identity or expression, sex, marital status, sexual orientation, physical or mental disability, use of a guide dog or service animal, military/veteran status, citizenship status, basis of genetic information, or any other group protected by law. Learn more at www.xerox.com and explore our commitment to diversity and inclusion! People with disabilities who need a reasonable accommodation to apply or compete for employment with Xerox may request such accommodation(s) by sending an e-mail to XeroxStaffingAdminCenter@xerox.com. Be sure to include your name, the job you are interested in, and the accommodation you are seeking. 2020 Xerox Corporation. All rights reserved. Xerox and Xerox and Design are trademarks of Xerox Corporation in the United States and/or other countries.