Postdoctoral Researcher Spatial Machine Learning
- Employer
- Desert Research Institute
- Location
- Reno, Nevada (US)
- Salary
- Minimum starting salary is $65,000
- Closing date
- Nov 20, 2024
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- Discipline
- Hydrology
- Career Level
- Postdoctoral
- Education Level
- PhD
- Job Type
- Full-time
- Relocation Cost
- Negotiable
- Sector Type
- Non-Government Organization/Non-Profit
Job Details
The Desert Research Institute's (DRI's) Division of Hydrologic Sciences is seeking a postdoctoral researcher with expertise in the general area of machine learning for spatial data analysis and uncertainty estimation. The successful candidate will immediately contribute their expertise to research on quantifying the spatial distribution of snow properties from point, airborne and satellite-based sensors. The successful candidate must have specialized skills in application of machine learning and statistical techniques to integration of spatial data obtained with different spatial support (e.g. point data with imagery) and uncertainty quantification to address environmental or earth science problems. Candidates that have experience in analyzing data collected in field campaigns are strongly encouraged to apply. The successful candidate will have the opportunity to contribute to a growing range of programs at DRI focused on understanding and quantifying hydrologic systems and human impacts on those systems in the western US. This position can be located in either Reno, or Las Vegas, Nevada.
Required Qualifications:
- Ph.D. from an accredited institution, with a focus on applying machine learning and statistical techniques to characterize and model environmental processes. Degrees in engineering, science, applied mathematics, statistics, computer science or other related fields
- Experience with analysis of spatial data using geostatistical, machine learning and/or Bayesian techniques
- Experience with machine learning techniques for classification, regression and probability density function estimation
- Experience expressing algorithms and workflows in Python
- Experience with analysis of field data in environmental and/or earth science research projects
- Ability to work independently to fulfill project goals and meet project deadlines;
- Effective verbal and written skills
- Effective interpersonal skills with a demonstrated ability to work and communicate effectively in small teams and work collegially in a group setting
Apply through the DRI website at https://nshe.wd1.myworkdayjobs.com/en-US/DRI-External/job/DRI---Reno-NV/Postdoctoral-Researcher--Spatial-Machine-Learning_R0144988
Company
Since 1959, DRI has stood at the forefront of understanding Earth's complex environmental systems, promoting preservation of diverse ecosystems, advancing responsible natural resource management, and improving human health and welfare throughout Nevada and around the world. Research at DRI calls on the expertise and methods of multiple scientific disciplines. More than 500 highly-skilled scientists, engineers, technicians and students are collaboratively focused on understanding and answering critical questions about global climate change, water quality and availability, air quality, sustainability of desert lands, life in extreme environments, and more.
- Website
- http://www.dri.edu/
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