Postdoc

NASA Jet Propulsion Laboratory

Pasadena, CAFresher1h agovia LinkedIn

This job at a glance

Who can apply
New grads, no experience needed
Must know
Data analysisPython
Nice to have
Angular
Work
On-site in Pasadena
Pay
Not stated by the employer.
Skill demand
Data analysis91%Python52%of 77 similar entry-level jobs posted in the US this week
Listed
Oct 28, 2026 · still open

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About the Role

The Exoplanet Systems group at JPL is searching for a postdoc who will focus on the reduction and analysis of high-contrast imaging data, with particular emphasis on advanced techniques for characterizing coronagraphic performance. Research activities may include phase retrieval, aperture masking interferometry, and other methods for extracting and interpreting faint signals in coronagraphic observations. The postdoc will have the opportunity to develop new analysis techniques and apply them to observations of exoplanets and other astrophysical targets. The work will also help advance JPL's capabilities for future high-contrast imaging missions and instruments, including the Roman Space Telescope and the Habitable Worlds Observatory (HWO). The position is a two-year appointment, with the possibility of renewal for one additional year subject to funding.

Key Responsibilities

  • Analyze and reduce JWST/NIRCam coronagraphic imaging observations.
  • Develop and apply model-based forward modeling and phase retrieval techniques to JWST coronagraphic and NIRISS/AMI data, leveraging wavefront sensing telemetry to improve contrast performance.
  • Characterize coronagraphic performance and investigate sources of systematic effects and residual starlight.
  • Lead peer-reviewed publications and present research findings at scientific conferences.
  • Collaborate with JPL and CalTech astronomers and instrument scientists on JWST science investigations.
  • Apply techniques developed through JWST observations to future Roman and HWO coronagraphic imaging applications.

Requirements & Tech Stack

  • Demonstrated research experience in astronomical data analysis and high-contrast imaging.
  • Experience with scientific programming, preferably Python.
  • Strong analytical and quantitative skills.
  • Strong written and verbal communication skills.

Qualifications

  • Ph.D. in astronomy, astrophysics, physics, or a related field.

Preferred Qualifications

  • Familiarity with PSF subtraction techniques, angular differential imaging, or forward modeling.
  • Experience with model-based post-processing, phase retrieval, or wavefront sensing.
  • Background in coronagraphy or interferometric techniques (e.g., aperture masking interferometry).
  • Prior experience working with JWST, HST, or other space-based observatory data.
  • Track record of first-author publications in peer-reviewed journals.

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