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JPL Post Doc Improving geophysical surface retrievals at the global scale fromOptical and SAR satel

Company: NASA JPL
Location: Pasadena
Posted on: November 19, 2022

Job Description:

Job Details



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.



JPL is unique among NASA Centers in that its staff are Caltech employees, yet can access NASA technical resources. Cross-discipline teamwork is standard here: colleagues across JPL's science and engineering organizations and Caltech's academic campus often work together. Learning to speak and understand other disciplines' languages is a doorway to the creativity needed to do what has not been done before. JPL staff are encouraged to create mission concepts that address humanity's core questions through a combination of science and technology. They are supported in developing ideas into proposals and hardware, and communicating funded missions' results to the scientific community and the broader public. JPL seeks to employ scientists and engineers who are passionate about lifelong learning and excited to contribute to and lead team efforts. We emphasize the importance of partnering across discipline boundaries and creating a friendly, constructive work environment to overcome space exploration's challenges. The postdocs at JPL benefit from an informal mentoring network, an annual conference showcasing their results, a dedicated seminar series, exposure to diverse career paths, and social connections across the JPL and Caltech community for advice on housing, childcare, and other aspects of living in southern California.



The plethora of orbiting optical and SAR sensors has provided an unprecedented view of our Earth and its processes. With the recent launch of Landsat 9 and the upcoming launches of NISAR, Sentinel-1C, and Sentinel-2C, this view will become significantly more precise not only because the volume of this imagery will greatly increase but also because the quality of the imagery is built of the success of previous space-borne missions. It is of great scientific interest to develop robust and reliable algorithms that utilize this forthcoming imagery in synchronicity to improve our view of the Earth. SAR and optical sensors can complement each other to provide a picture not possible from an optical or SAR sensor alone.



The postdoc will:



* Develop algorithms to improve geophysical retrievals at the global scale, harmonizing optical and SAR sensors.



The group's primary interest is to develop globally-applicable methods to detect surface disturbances and map inundation extents, both of which are important for Earth Science System Modeling and disaster monitoring.



The models and pipelines may be adapted into the NASA JPL Observational Products for End-Users from Remote Sensing Analysis (OPERA) project, and therefore, the postdoc's work may have a lasting impact on the broader Earth Science community. Specifically, OPERA products will be leveraged by decision-makers from federal agencies and the science community for a broad range of application topics including those related to a disaster, resource management, and monitoring.



Qualifications:



Applicants should have:



* Ph. D. in machine learning, statistics, computer science, physics, computational mathematics, or a related field.

* Strong background in the theory and practice of machine learning or applied statistics to remote sensing retrievals, particularly as it relates to image understanding, data fusion, and uncertainty quantification.

* Given a research problem, an applicant is expected to scope out the features of interest from the plethora of available remote-sensing data, develop large-scale training and validation pipelines, develop architectures for data fusion, fine-tune state-of-the-art neural networks and ML models.

* Be able to report their findings in a mathematically and statistically sound fashion.

* Have a strong grasp of the python ecosystem especially its statistical (e.g. scipy/numpy) and machine learning libraries (e.g. scikit-learn, pytorch, tensorflow), jupyter, git, and preferably GIS.

* Be comfortable quickly diving into different data formats (e.g. Tiff, NetCDF, HDF5) as they will be utilizing a variety of remotely sensed data such as optical data from Planet, Worldview, Landsat, Sentinel-2, and SAR data from Sentinel-1, ALOS-2, NISAR.



Desired Skills:



* Experience working with GPU's (CuPy, Numba, or CUDA), curating data from public APIs, developing large scale GIS products, and development using AWS are all considered a plus.

* Experience using remote sensing data for retrievals of surface disturbances, surface deformation, and surface water is considered a plus.



The appointee will carry out research in collaboration with the JPL advisor, David Bekaert. The postdoc will interact with other OPERA Project Science team members from JPL, USGS, GSFC, and ASF.



Applicants may be subject to additional program requirements by NASA. Postdoc positions are awarded for a minimum of one-year period and may be renewed up to a maximum of three years. Candidates should submit the following to this site: CV, representative publications, contact information for three references, and a cover letter stating their research accomplishments and interests.



JPL is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, citizenship, ancestry, age, marital status, physical or mental disability, medical condition, genetic information, pregnancy or perceived pregnancy, gender, gender identity, gender expression, sexual orientation, protected military or veteran status or any other characteristic or condition protected by Federal, state or local law.



In addition, JPL is a VEVRAA Federal Contractor.



EEO is the Law.



EEO is the Law Supplement



Pay Transparency Nondiscrimination Provision



The Jet Propulsion Laboratory is a federal facility. Due to rules imposed by NASA, JPL will not accept applications from citizens of designated countries or those born in a designated country unless they are Legal Permanent Residents of the U.S or have other protected status under 8 U.S.C. 1324b(a)(3). The Designated Countries List is available here.

Keywords: NASA JPL, Pasadena , JPL Post Doc Improving geophysical surface retrievals at the global scale fromOptical and SAR satel, Other , Pasadena, California

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