JPL Postdoc - Remote Sensing Data Analytics for Mapping and Modeling Forest Carbon Change and Vulnerability to Climate
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
+2 more
Job description
Lead independent research within a collaborative team using machine learning and process-based models to generate regional and global products and advance understanding of drivers of carbon stock change. Main areas of research will be selected from the following:
- Geospatial analysis of climate, disturbance (land use change, logging, mortality), fire fuel loads, and biomass/carbon dynamics across tropical forests
- Analysis of the accuracy of forest biomass change maps based on satellite, airborne, and forest inventory inputs.
- Development of advance machine learning models including generative and foundational AI to map time series of biomass change from airborne and satellite data
- Develop, implement, and document algorithms and reproducible code for data processing, analysis, and science-product generation.
- Lead preparation of peer-reviewed publications and present results to interdisciplinary teams and stakeholders.
Requirements
- PhD completed or near completion in remote sensing, computer science, environmental science/engineering, statistics/mathematics, ecology, geography, or a closely related field, with relevant experience in forest applications.
- Demonstrated experience with quantitative geospatial and satellite data analysis, including Synthetic Aperture Radar (SAR) and/or LiDAR forest remote-sensing methods.
- Proficiency in advanced machine learning (including time-series methods and experience with generative/foundation AI models) and data-assimilation or ecosystem-model coupling.
- Strong programming skills in scientific languages (e.g., Python, MATLAB, or R) and solid statistical background.
- Track record of quantitative research and peer-reviewed publications, and ability to work effectively in interdisciplinary, collaborative teams.
Preferred qualifications
Prior experience with carbon monitoring systems, forest inventory data, cloud-native geospatial workflows, or large-scale remote-sensing product development. Experience working across tropical ecosystems and with stakeholder-relevant applications (policy, management, MRV).
Benefits & conditions
JPL has a catalog of benefits and perks that span from the traditional to the unique. This includes a variety of health, dental, vision, wellbeing, and retirement plans, paid time off, learning, rideshare, childcare, flexible schedule, parental leave and many more. Our focus is on work-life balance, and living healthy, fulfilling lives as we Dare Mighty Things Together. For benefits eligible positions, benefits are effective the first day of the month coincident with or immediately following the employee’s start date.
About the company
New ideas are all around us, but only a few will change the world. That’s our focus at JPL. We ask the biggest questions, then search the universe for answers-literally. We build upon ideas that have guided generations, then share our discoveries to inspire generations to come. Your mission-your opportunity-is to seek out the answers that bring us one step closer. If you’re driven to discover, create, and inspire something that lasts a lifetime and beyond, you’re ready for JPL.
Located in Pasadena, California, JPL has a campus-like environment situated on 177 acres in the foothills of the San Gabriel Mountains and offers a work environment unlike any other: we inspire passion, foster innovation, build collaboration, and reward excellence.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Loading talks and stories from around this role…