Gravitational-Wave Research Scientist III

JPL/NASA•Pasadena, CA

12d•$144,664 - $180,752•Onsite

About The Position

The Jet Propulsion Laboratory (JPL), California Institute of Technology, invites applications for a Staff Scientist position working on Gravitational Wave science. JPL offers a unique research environment that bridges the gap between fundamental science and space-mission implementation. We are committed to fostering an enriching, rewarding research environment with strong support for professional and personal development. We are looking for an innovative Scientist III to play a pivotal role in developing data analysis algorithms for the Laser Interferometer Space Antenna (LISA). As JPL expands its capabilities in low-frequency gravitational-wave astronomy, this role is essential for developing the sophisticated pipelines required to untangle complex, overlapping signals in order to transition noisy data into astrophysical insight. The successful candidate will make contributions in one or more of the following areas: Develop Core Pipelines: Design, implement, and validate novel data analysis algorithms, noise reduction algorithms, low-latency alert pipelines, and global-fit architectures tailored for low-frequency gravitational-wave data. Bridge Theory and Data Integrate instrumental, environmental, and astrophysical systematics into robust statistical frameworks to isolate faint cosmological and astrophysical signals from instrument noise and background signals. Leverage the Caltech-JPL Ecosystem: Actively collaborate with JPL's Galaxies and/or Cosmology Groups, Caltech’s Theoretical Astrophysics Relativity (TAPIR) group, and experts across Caltech's Division of Physics, Mathematics, and Astronomy (PMA). Strengthen US LISA ties: Work collaboratively to strengthen ties across the NASA LISA ecosystem at GSFC, MSFC, and JPL. Astrophysical Modeling: Advance and connect theoretical models to data analysis pipelines through development of individual source waveform models and/or astrophysical populations. Shape Long-Term Capabilities: Help develop future space-mission concepts, ground-segment architectures, and enabling data technologies for the next generation of space physics.

Requirements

A Ph.D. in Physics, Astronomy, Astrophysics, or a related discipline with a minimum of 3 years of post-doctoral or relevant research experience.
Deep technical foundation in gravitational-wave data analysis methodologies.
Proven track record of scientific excellence in gravitational-wave astronomy, evidenced by peer-reviewed publications and presentations at major international conferences.
Strong interpersonal skills and a demonstrated ability to thrive within a highly collaborative, multi-institutional team environment.
Excellent written and verbal communication skills, along with a proactive commitment to fostering an inclusive, diverse, and dynamic research culture.

Nice To Haves

Direct experience developing data analysis algorithms, astrophysical models, or software frameworks for gravitational wave observatories.
Proficiency in applying machine learning or advanced data science methodologies to complex, continuous astrophysical datasets.
Broader expertise in multi-messenger astrophysics or related fields of cosmology (e.g., ground-based GW networks, pulsar timing arrays, or cosmic microwave background analysis).
Demonstrated potential or experience in successfully proposing for research funds as a Principal Investigator or Co-Investigator.

Responsibilities

Design, implement, and validate novel data analysis algorithms, noise reduction algorithms, low-latency alert pipelines, and global-fit architectures tailored for low-frequency gravitational-wave data.
Integrate instrumental, environmental, and astrophysical systematics into robust statistical frameworks to isolate faint cosmological and astrophysical signals from instrument noise and background signals.
Actively collaborate with JPL's Galaxies and/or Cosmology Groups, Caltech’s Theoretical Astrophysics Relativity (TAPIR) group, and experts across Caltech's Division of Physics, Mathematics, and Astronomy (PMA).
Work collaboratively to strengthen ties across the NASA LISA ecosystem at GSFC, MSFC, and JPL.
Advance and connect theoretical models to data analysis pipelines through development of individual source waveform models and/or astrophysical populations.
Help develop future space-mission concepts, ground-segment architectures, and enabling data technologies for the next generation of space physics.