Job ID: 12135
Do you excel in an environment that values exploration and discovery? We have a universe of opportunities waiting for you!
New ideas are all around us, but only a few will change the world. That is our focus at JPL. We ask the biggest questions, and then search the universe for answers—literally. We build upon ideas that have guided generations, and 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 are driven to discover, create, and inspire something, that lasts a lifetime and beyond, you are ready for JPL.
JPL's Instrument Software and Science Data Systems Section (Org. 398) consist of multidisciplinary teams of engineers and technologists who provide expertise across the domains of instrument operations and science data systems.
We are responsible for:
Safely controlling JPL remote sensing instruments.
Transforming data collected by these instruments into scientific measurements and preserving them for future analyses.
Providing context and understanding to the measurements.
Making the measurements and related information accessible to a broad and global user community: scientists, operations, decision makers and society.
Our engineering teams build and operate high performance data processing, management and analysis systems capable of handling petabyte scale datasets in support of science discovery, research, operations and applications.
We support JPL and NASA missions, as well as other science-based projects. Our research and technology development teams create new onboard and ground based technologies for data processing, analysis, modeling, reasoning, visualization, management, access and analytics that are infused into our data systems.
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.
We aim to do things never done before and to go places few can go. We dare mighty things…do you?
As a member of the Science Data Modeling and Computing Group (Org. 398K), you will report to the Technical Group Supervisor of 398K. You will be working on the following four projects: Megacity Carbon, Multi-sale Methane Analytic Framework, and Multi-tiered Carbon Monitoring System. The four projects have strong synergy in technical approaches and overall goals.
The Megacity Carbon project will establish an observational, modeling, and analytical framework to enable sustained monitoring and attribution of trends in the anthropogenic CO2 and CH4 emissions of the world’s largest cities sufficient to independently validate the efficacy of the carbon stabilization policies of those cities and to support improvements in urban and regional scale emission inventories. Under the Megacity Carbon project, you will
Assimilate surface observations to satellite observations in the urban megacities.
Perform science data analyses to close carbon budgets and partition emission sources to emission sectors.
Produce the analysis results and supporting data, methods and uncertainty/error estimates.
Present the results in a policy relevant fashion to local decision makers.
The Global and Regional Methane Budget (GRMB) project will quantify and partition the global and regional methane budget using satellite and ground based measurements of methane and tracers of its sources and sinks. Under the GRMB project, you will
Operationalize the project’s prototype research code base so that these algorithms can be made modular and easily applied to regional to global scales.
Prototype the optical estimation algorithms in several methane-emitting regions.
Deliver an algorithm and prototype code to ingest a priori inventories and fluxes from aircraft and satellite.
Apply the optimal estimation methods on regional to global scales in order to partition methane inverse fluxes to sector specific emissions.
Write a paper on the North American methane budget.
The Multi-scale Methane Analytic Framework (M2AF) project will mature and integrate methane data analysis capabilities spanning multiple observing systems and spatial scales into an analytic center framework. M2AF will provide analytic tools to characterize methane fluxes and the physical processes that control them, provide workflow optimization and management tools, facilitate data search and discovery relevant to specific methane science investigations and applications, and provide collaborative, web-based tools for enabling scientific discussion and application of data analysis and modeling results. Under the M2AF project, you will
Develop regional methane flux inversion methods.
Produce validation results with the inversion methods.
Support the integration of the inversion methods into M2AF.
Write peer-reviewed papers to report the scientific results from the task.
The Multi-tiered Carbon Monitoring System (MtCMS) project will develop, deploy, and test MtCMS over a diverse set of US regions and emission sectors. The tiers refer both to different observing systems and emission estimation frameworks spanning multiple spatial scales. We will combine coordinated observations from remote-sensing aircraft and satellites and where available, surface in-situ observations to detect and quantify emissions from methane point sources and their surrounding regions in an extensible fashion. Under the MtCMS project, you will
Develop regional methane flux inversion methods.
Improve atmospheric retrievals of methane and carbon dioxide.
Provide validation results for the inversion methods and data products generated with the methods.
Support the integration of the data products and methods you developed to MtCMS.
Work closely with diverse stakeholder partners to demonstrate the utility of the data products and methods provided by MtCMS.
Bachelor’s degree in Atmospheric Science or related field with 3 years of related
experience, Master’s degree with 1 years of related experience, PhD with 0 years of
related experience required
Proven experience in analyzing atmospheric measurements of methane and carbon
Demonstrated experience in retrieving methane and carbon dioxide mixing ratios from
Extensive knowledge and experience in atmospheric tracer transport modeling
Broad knowledge and experience in radiative transfer modeling
Proficiency in Bayesian inference and uncertainty quantification
Strong, professional skill in oral and written presentations and publication
Proven capability to work with numerical models such as WRF and STILT for atmospheric
Substantiated capability to program algorithms for scientific data analysis using tools such
as Python, Matlab, and R.
Independence of conducting daily research work with minimal supervision
Ability to interact with team members with different background/domain expertise
Ability to learn new data science methods and skills efficiently
Creativity to seek solutions to achieve desired outcomes
Success in writing a research proposal and receiving a research grant
U.S. Citizen or Permanent Resident