Job Information
University Corp. For Atmospheric Research (UCAR) Postdoctoral Fellow I in Boulder, Colorado
Job Description Summary:NSF NCAR's Computational and Information Systems Laboratory (CISL) is excited to announce the job opening for a Postdoctoral Fellow I. The Postdoc will conduct research in 1) developing a state-of-the-art combined prognostic, diagnostic, and generative deep learning convection nowcasting system using artificial intelligence techniques, high resolution satellite and radar data, and surface weather fields, 2) assessing the predictability and quantifying the uncertainty associated with the AI system predictions, and comparing to traditional Numerical Weather Prediction (NWP); and 3) discovering the physical and dynamical mechanisms that control the predictability of convection through physically-informed explainable AI. This position is funded under the NSF Collaborations in AI and Geoscience grant "Investigating Convection Initiation Dynamics and Predictability with Physically Explainable Deep Learning and Uncertainty Quantification", a collaborative partnership between NSF NCAR and Penn State University. Research is directed by an NSF NCAR staff member and includes pre-defined research goals.
NSF NCAR/CISL is a leader in supercomputing and data services necessary for the advancement of atmospheric and geospace science. CISL's mission is to remain a leader at the forefront of ensuring that research universities, NSF NCAR, and the larger atmospheric, oceanographic, and related research communities have access to the computational resources they need for their rese Position Details: Visa Sponsored Job:Yes
Relocation Assistance Eligible:No
Job Location: Boulder, Colorado
Position Type & Term:Full time, Term - 6 months or more (Fixed Term)
Compensation Range: Salary Rate: $80,480 Final salary and rates are based on education, experience, skills relevant to the role. Application Notes Application Deadline:
This position will be posted until 11:59 PM MT on Wednesday, March 12, 2025.
Required application materials: (preferably in PDF Format)
Resume/CV
Questionnaire (included in the application)
Background Checks: Conducted for candidates selected for hire. Learn more. Work Location: Regardless of flexible work arrangements, UCAR requires ALL positions to be performed within the U.S., excluding U.S. Territories. What You Will Do Here is a brief summary of what one would expect to be generally responsible for in this role.
Develop prognostic, diagnostic, and generative AI models for nowcasting of convection.
Validate accuracy of AI model predictions and the quality of the uncertainty quantification methods.
Analyze models to understand predictability of convection with physically-informed explainable AI
Present results at project meetings and conferences; publishes results in the peer-reviewed scientific literature, and reviews scientific manuscripts.
Contribute to team meetings and discussions, general coordination with NSF NCAR and Penn State team.
Mentor students, interns, and visitors in collaboration with other NSF NCAR team members. Who We'd Love To Join Our Team Successful candidates will ensure their application materials speak to the following criteria: Education and Experience (Required/Desired):
Ph.D. in computer science, atmospheric science, physics, engineering, or other relevant science.
Knowledge, Skills, and Abilities (Required/Desired) REQUIRED
Demonstrated knowledge of training and running AI/machine learning models with at least one major deep learning framework (e.g., PyTorch, Keras, Tensorflow, Jax).
Demonstrated knowledge of Python for scientific data analysis.
Ability to process and analyze large geospatial datasets.
Skills in performing computing tasks on Linux computing clusters.
Excellent oral and written communication skills with demonstrated success publishing in peer reviewed journals and/or computer science... For full info follow application link.
The University orporation for Atmospheric Research (UCAR) is an equal opportunity/equal access/affirmative action employer that strives to develop and maintain a diverse workforce. UCAR is committed to providing equal opportunity for all employees and