Hiring


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

Research Administration Director

Location: Norman, OK, USA (remote option available)

The NSF Al Institute for Research on Trustworthy Al in Weather, Climate, and Coastal Oceanography (Al2ES) is seeking a research administration director with strong networking, technical writing, and communications skills. The ideal candidate will have expertise in technical project development, implementation, and administration, with a focus on Al and/or environmental science. The research administration director will work closely with the Al2ES Director while focusing their efforts on:

Development

  • Program/proposal development, including technical aspects of the proposals
  • Development and tracking of project plans
  • Working with the Al2ESDirector to develop strategic plans for program growth
  • Develop and nurture relationships with funding agencies and industry partners

Implementation

  • Ensure priorities, risks, resources, and schedules are established, managed, and reported across the project.
  • Define and prioritize allocation of efforts and resources to manage technical risks and project goals
  • Identify and resolve issues with interdependent timelines, priorities, and resources
  • Responsible for reading and interpreting university policy as well as federal and state guidelines

Administration

  • Work across Al2ESwith its seven academic partners and collaborators to manage the project portfolio
  • Develop and present project and platform progress updates vs. expectations to leadership teams
  • Maintain communication with academic, industry, and government partners and stakeholders

Job Requirements

Required Education:  Bachelor’s degree, AND: 

  • 72 months of experience, 24 months of which includes supervisory/managerial responsibilities, in any combination of the following areas: procurement (federal, state or industrial), proposal submissions, contract negotiations, grant and contract administration; accounting and/or financial analysis, financial administration in sponsored program administration. 36 months of the experience must be directly related to sponsored program administration.

Skills:

  • Possesses advanced organizational and management skills that encompass strong leadership, superior communication and interpersonal skills
  • Strong leadership and managerial competencies
  • Ability to balance unpredictable work flows
  • Flexible
  • Strong attention to detail
  • Demonstrated problem-solving and analytical competencies
  • Ability to make independent decisions and recommend unique solutions
  • Knowledge of state, federal, and institutional regulations related to research administration, as well as the ability to review, analyze and interpret such regulations
  • Demonstrated experience in applying these principles in an academic environment

Departmental Preferences:

  • PhD

Supervision: will supervise one program manager

Diversity Statement: The University of Oklahoma is committed to achieving a diverse, equitable, and inclusive university community by recognizing each person’s unique contributions, background, and perspectives. The University of Oklahoma strives to cultivate a sense of belonging and emotional support for all, recognizing that fostering an inclusive environment for all is vital in the pursuit of academic and inclusive excellence in all aspects of our institutional mission.

Equal Employment Opportunity Statement: The University of Oklahoma, in compliance with all applicable federal and state laws and regulations, does not discriminate based on race, color, national origin, sex, sexual orientation, genetic information, gender identity, gender expression, age, religion, disability, political beliefs, or status as a veteran in any of its policies, practices, or procedures. This includes, but is not limited to, admissions, employment, financial aid, housing, services in educational programs or activities, and health care services that the University operates or provides.

More information available here: jobs.ou.edu_232772

University of Oklahoma

Postdoctoral Research Associates – 2 opportunities

Location: Norman, OK, USA (remote option available)

Position 1:

The NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES) is an NSF funded AI Institute that brings together universities, government, and private industry to develop trustworthy AI for environmental science. AI2ES will uniquely benefit 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 and interest or experience in working in interdisciplinary teams with social scientists. 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, the National Center for Atmospheric Research, and Stanford University.

Position Summary
The postdoc will be a key part of a team that is focused on developing trustworthy AI for predicting and understanding flooding and people’s reactions to potential flood events. The postdoc will work with interdisciplinary collaborators across the institute. At OU, this will include working with the School of Computer Science and the School of Meteorology as well as colleagues at NOAA and the National Center for Atmospheric Research, and Stanford University. 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.

Expected job duties

  • Research in trustworthy AI for environmental sciences (70% time)
    • The postdoc’s main duties are to develop and test trustworthy AI techniques focused on understanding and predicting people’s behavior around major flooding events. 
  • Knowledge transfer and institute level integration (15% time)
    • The postdoc is expected to integrate with the other postdocs, students, and researchers throughout the institute.  If possible (post-pandemic), this may involve travel to other institute sites.  It will also involve video meetings to other sites.  Additionally, the postdoc may be involved in working with students.
  • Publishing and Sharing results (15% time)
    • The postdoc is expected to be actively publishing and presenting results at both AI conferences and journals and atmospheric sciences and journals.  This may involve travel.

Required Job Qualifications   

  • Ph.D. in Machine Learning/Artificial Intelligence and experience with atmospheric sciences OR a PhD in Atmospheric Science or closely-related field and experience with Machine Learning/Artificial Intelligence.  Note the PhD does not need to be completed to apply for the position but must be completed prior to beginning the postdoc.
  • Experience with large spatiotemporal data sets 
  • Demonstrated experience of applying at least one machine learning or advanced statistical technique to an atmospheric-science-related problem.
  • Demonstrated curiosity, creativity and enthusiasm to learn new skills.
  • Experience pursuing research, both independently and as part of a research team.
  • The successful candidate must be legally authorized to work in the United States by the desired start date. AI2ES cannot provide visa sponsorship for this position.
  • Experience with neural networks/deep learning 

Preferred Job Qualifications  

  • Experience with large atmospheric science data sets
  • Prior research studying atmospheric variability, extreme weather, or subseasonal-to-seasonal prediction.
  • Prior knowledge of a broad range of ML topics, as demonstrated by classes taken and/or research performed.
  • Prior experience collaborating across disciplines.
  • Experience with tensorflow (preferred) or pytorch
  • Experience with HPC systems
  • Experience or interest in working in interdisciplinary teams, including with social scientists

Link to position 1 details and application.

Position 2:

The NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES) is an NSF funded AI Institute that brings together universities, government, and private industry to develop trustworthy AI for environmental science. AI2ES will uniquely benefit 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.  

As part of a new Expand AI grant with San Diego State University (SDSU) and the University of California – Irvine (UCI), we are seeking a postdoctoral research associate with expertise in machine learning and atmospheric science.  This postdoc will be employed by the University of Oklahoma and working with AI2ES director Dr Amy McGovern but will also be working directly with SDSU and UCI on research across the three locations. The new postdoc will be working to help advance the accuracy and explainability of AI/ML algorithms in reproducing the multiscale structure of precipitation and high-impact weather.

Position Summary

The postdoc will be a key part of a team that is developing trustworthy AI for atmospheric science applications.  The postdoc will work with interdisciplinary collaborators across the AI2ES institute.  At OU, this will include working with the School of Computer Science and the School of Meteorology as well as colleagues at NOAA.   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 will be 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), the National Center for Atmospheric Research, Google, IBM, NVIDIA, Disaster Tech, and the National Oceanic and Atmospheric Administration.

Expected job duties

  • Research in trustworthy AI for environmental sciences (60% time)
    • The postdoc’s main duties are to develop and test trustworthy AI techniques including novel explainable AI and physically-based AI methods for environmental sciences
  • Knowledge transfer and institute level integration (25% time)
    • The postdoc is expected to integrate with SDSU and UCI as well as the other postdocs, students, and researchers throughout the institute.  This will involve travel to both UCI and SDSU.  It will also involve video meetings to other sites.  Additionally, the postdoc may be involved in working with students, if so desired.
  • Publishing and Sharing results (15% time)
    • The postdoc is expected to be actively publishing and presenting results at both AI and atmospheric sciences conferences/journals.  This may involve travel.

Required Job Qualifications   

  • Ph.D. in Machine Learning/Artificial Intelligence, Mathematics, or Statistics with  experience in atmospheric sciences; OR a PhD in Atmospheric Science, Hydrologic Science, or a closely-related field with experience in Machine Learning/Artificial Intelligence.  Note the PhD does not need to be completed to apply for the position but must be completed prior to beginning the postdoc.
  • Experience with large spatiotemporal data sets 
  • Demonstrated experience of applying at least one machine learning or advanced statistical technique to an atmospheric-science-related problem.
  • Demonstrated curiosity, creativity and enthusiasm to learn new skills.
  • Experience pursuing research, both independently and as part of a research team.
  • The successful candidate must be legally authorized to work in the United States by the desired start date. AI2ES cannot provide visa sponsorship for this position. 

Preferred Job Qualifications  

  • Experience with large atmospheric science data sets
  • Prior research studying atmospheric variability, extreme weather, or subseasonal-to-seasonal prediction.
  • Prior knowledge of a broad range of ML topics, as demonstrated by classes taken and/or research performed.
  • Prior experience collaborating across disciplines.
  • Experience with tensorflow (preferred) or pytorch
  • Experience with HPC systems
  • Experience with neural networks/deep learning

Link to position 2 details and application.

 

Diversity Statement   

AI2ES is strongly committed to advancing diversity, equity, and inclusion.  Candidates are expected to have the ability to advance the DEI mission and should address this in their statement.

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