At a Glance
- Tasks: Join a multidisciplinary team to advance AI weather forecasting across various scales.
- Company: The University of Chicago, a leader in climate science and AI innovation.
- Benefits: Comprehensive benefits package and opportunities for professional growth.
- Other info: Flexible start date and rolling applications until May 2025.
- Why this job: Make a real impact on global weather predictions and help vulnerable populations.
- Qualifications: PhD in relevant fields and strong programming skills required.
The predicted salary is between 50000 - 70000 £ per year.
Postdoctoral Scholar/Research Scientist – AI Weather Forecasting Across Scales
The University of Chicago’s Human-centered Weather Forecasting (HCF) Initiative and Climate Extremes Theory and Data (CeTD) group invite applications for multiple postdoctoral fellow and research scientist positions to work with Prof. Pedram Hassanzadeh and a group of multi-institutional, multi-disciplinary collaborators on advancing AI weather forecasting across scales, from short- and medium-range to subseasonal-to-seasonal (S2S) predictions.
These researchers will closely collaborate with a growing multidisciplinary team, which includes Prof. Michael Kremer (Economics) and Prof. Amir Jina (Public Policy), focused on disseminating weather forecasts to the most vulnerable population worldwide, and in conjunction with the international efforts at UChicago’s Development Innovation Lab (DIL) and the broader AI for weather/climate efforts at UChicago’s AI for Climate Initiative (AICE).
In addition to being part of the dynamic HCF, AICE, and DIL communities, these researchers will benefit from major activities around AI and climate at the University of Chicago, including the Data Science Institute, the Climate and Sustainable Growth Institute, and the AI+Science Initiative, as well as those at the Argonne National Laboratory.
Topics of Interest
- Developing S2S AI weather models
- Developing AI models for probabilistic weather forecasting
- Forecasting monsoon and other extreme precipitation events across scales
- Developing benchmarks and metrics for AI weather models based on climate and AI theories, particularly focusing on physical consistency and extreme events
- Calibrating AI weather models for optimal regional skills
- Exploring hybrid AI-numerical weather prediction modeling
- Integrating AI weather models and data assimilation techniques
- Integrating AI weather models and mathematical and AI innovations for rare events
- Developing algorithms for foundation AI weather models
Benefits
This position is benefits-eligible, and information regarding benefits can be found at https://clients.garnett-powers.com/pd/uchicago/.
Minimum Qualifications
- Completion of a PhD in Climate Science, Atmospheric Science, Agrometeorology, Physical Oceanography, Applied and Computational Mathematics, Physics, Engineering, or a related field at the time of the appointment.
- Strong programming and numerical skills.
- Experience with high-performance computing and analysis of large datasets.
- Ability to work both independently and as part of a multidisciplinary team.
- Ability to work in a fast-paced environment.
- Strong communication skills.
Strongly Preferred Qualifications
- Expertise in weather forecasting or climate modeling/dynamics.
- Familiarity with theoretical and practical aspects of scientific deep learning.
- Experience with AI weather models.
Research Scientist Appointments
Outstanding applicants with more than 3 years of postdoc experience will be considered for appointment as research scientists.
Application Process
Interested candidates should submit a single PDF file containing the following:
- A complete curriculum vitae that includes a list of publications and contact information of at least three references.
- A statement (maximum 2 pages) detailing how their past research experience, interests, and career plans would fit the aforementioned topics.
Please send these materials as a single PDF file to pedramh@uchicago.edu with the subject line "Application: AI weather". Applications will be reviewed on a rolling basis and accepted until May 1, 2025. The positions are available immediately.
The start date can be flexible but should be before October 1, 2025. Depending on the applicant’s background and interests, the appointment will be made at the Department of Geophysical Sciences or Data Science Institute.
Equal Employment Opportunity Statement
The University of Chicago is an Equal Opportunity/Disabled/Veterans Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, national or ethnic origin, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.
Job seekers in need of a reasonable accommodation to complete the application process should call 773‑834‑3988 or email equalopportunity@uchicago.edu with their request.
Contact
Department of the Geophysical Sciences
5734 S. Ellis Avenue
Chicago, Illinois 60637
(773) 702‑8101
geosci@uchicago.edu
Postdoctoral Scholar/Research Scientist - AI Weather Forecasting Across Scales employer: University of Chicago MS in Environmental Science
The University of Chicago offers an exceptional work environment for Postdoctoral Scholars and Research Scientists, fostering collaboration within a multidisciplinary team dedicated to advancing AI weather forecasting. With access to cutting-edge resources and initiatives like the Data Science Institute and the Climate and Sustainable Growth Institute, employees benefit from a culture of innovation and professional growth, while contributing to impactful research that addresses global climate challenges. Located in the vibrant city of Chicago, this role provides unique opportunities to engage with leading experts and make a meaningful difference in the lives of vulnerable populations worldwide.
Contact Details:
University of Chicago MS in Environmental Science Recruitment Team
