CosmicAI Fellow at NRAO

CosmicAI; Charlottesville (VA); On-site; USD 65,000 - 85,000; Full time

Job summary

The CosmicAI program at the NRAO on the University of Virginia campus in Charlottesville seeks a postdoctoral fellow to launch a new AI-focused research program analyzing astronomical data. The fellow will split time 50/50 between Observable Universe Working Group research and independent projects, focusing on anomaly detection for data calibration and hyperspectral cube image segmentation.

The appointment is initially for two years with a possible third year, with access to top-tier HPC

Qualifications

• PhD in Astronomy, Astrophysics, Physics, Data Science, or related field.
• Experience in data science, data reduction and analysis, radio astronomy, and/or software development.
• Established record of independent research.
• Research expertise in interferometric radio/millimeter/submillimeter astronomy.
• Proficiency working with a geographically distributed, multi-disciplinary team.
• Experience with CASA.
• Experience with modern machine learning / deep learning techniques and software packages.
• Experience with high-performance or high-throughput computing (HPC/HTC).
• Experience with high-dimensional data.
• Fluency in English; strong communication skills.

Responsibilities

• Lead a postdoctoral research program advancing AI for astronomical data.
• Contribute to anomaly detection for data calibration and hyperspectral cube segmentation.
• Collaborate with CosmicAI team across sites and with NRAO/UVA.
• Publish independent research results.

Skills

Data science

Radio astronomy

Software development

English proficiency

Team collaboration

Education

PhD in Astronomy / Physics / Data Science

Tools

CASA

HPC/HTC tools

Job description

Position Summary

The National Science Foundation (NSF)-Simons CosmicAI Institute seeks to hire a postdoctoral fellow to help initiate a new comprehensive research program to foster foundational advancements in AI through the analysis and processing of astronomical data at the National Radio Astronomy Observatory (NRAO), located on the grounds of the University of Virginia (UVA) in Charlottesville, Virginia. Other NRAO duty stations may be considered if justified. This work will be carried out in close collaboration with the CosmicAI team members at the University of Utah.

The NSF-Simons AI Institute for Cosmic Origins (CosmicAI) aims to advance transformative AI with the overarching goal of increasing the accessibility of astronomy data and knowledge for researchers, students, and the public. CosmicAI leverages partnerships between academia [UT Austin, Texas Advanced Computing Center (TACC), U. of Virginia, U. of Utah, UCLA], national facilities (NRAO and NSF NOIRLab), nonprofits, and industry to develop capabilities that enable astronomical researchers to conceptualize, define, and execute research projects via trustworthy, efficient, robust, and explainable AI methods. By building next-generation AI tools, the Institute aims to accelerate discoveries into the most basic human question: Where do we come from?

The NRAO is a research and development organization that plays a vital role in the study of the universe. The Observatory operates a variety of radio telescopes that span the globe, including the Very Large Array (VLA) in New Mexico, the Very Long Baseline Array (VLBA) across North America, and the Atacama Large Millimeter/submillimeter Array (ALMA) in Chile. These telescopes are among the most advanced in the world, allowing astronomers to explore the universe in unprecedented detail.

Data volumes for interferometric facilities will increase by over two orders of magnitude in the coming decade with instruments such as the Wideband Sensitivity Upgrade (WSU) on Atacama Large Millimeter/submillimeter Array (ALMA), and the next generation Very Large Array (ngVLA). CosmicAI's research efforts at the NRAO will focus on expediting calibration, imaging, and analysis of this high-dimensional data. Although stationed at the NRAO, the CosmicAI fellow will have full access to Institute facilities and equipment (e.g., world-class computational resources at TACC, including Vista, a newly instantiated 600-GPU node cluster) and will routinely collaborate with Institute members across all sites to facilitate the development of cutting-edge AI tools and methodologies.

The CosmicAI fellow at the NRAO will be expected to spend 50% of their time on Observable Universe Working Group research efforts, with the remaining 50% available for independent research; ideally, there will be substantial overlap between the two. The CosmicAI Fellowship appointment will be awarded initially for a two-year period, with an expectation of a third year. Institute-directed research will focus on two main areas:

Anomaly Detection for Data Calibration

Developing a methodology and toolset to distinguish good calibrations from problematic calibrations that currently require human evaluation to expedite high-volume, high-throughput calibration and imaging.

Hyperspectral Cube Image Segmentation:

Developing robust, automated data segmentation for spatio-kinematic regions of interest in hyperspectral image cubes and leveraging to improve the efficiency of creating compact science-ready data products in imaging pipelines.

As a CosmicAI fellow at NRAO, you will play a leading role in this groundbreaking research, contributing to either or both areas depending on your interest and expertise.

Work is mission-driven, team-oriented, and typically performed in an office setting within a research or development environment.

Who You Are:

You have a PhD in Astronomy, Astrophysics, Physics, Data Science, or a related field.

Previous experience in data science, data reduction and analysis, radio astronomy, and/or software development.

Established record of independent research.

Research expertise in interferometric radio/millimeter/submillimeter astronomy.

Proficiency working with a geographically distributed, multi-disciplinary team.

While not required, you may have:

Experience with standard radio astronomy data reduction software (e.g., CASA)

Experience with modern machine learning / deep learning techniques and software packages

Experience with high-performance or high-throughput computing (HPC/HTC)

Experience with high-dimensional data

Competency Summary

Fluency in the English language.

Excellent communication skills, including both presentations and writing technical reports.

Additional Requirement

Observatory employees must be authorized to work in the United States. The Observatory cannot currently sponsor H-1B visas for this position.

Total Rewards

Associated Universities, Inc. (AUI) offers a comprehensive total rewards package for this position, subject to eligibility requirements. We are committed to serving our employees and their families with an extensive and competitive compensation and benefits package that supports their overall well-being and career growth.

Compensation

The salary for this position will be commensurable with other prestigious U.S. postdoctoral fellowships.

AUI’s benefits package addresses the needs of employees and their families, with most benefits beginning on the first day of employment. AUI provides excellent paid time off (13 holidays, annual accrual of up to 24 vacation days and 15 sick days, additional time off for doctor/dentist visits, and 8 weeks of paid parental leave). Medical, dental, and vision plans are effective on the first day of employment. AUI’s retirement benefit contributes an amount equal to 10 percent of a qualified participant’s base pay, with no required employee contribution; we also offer an optional supplemental, tax-deferred plan for employee retirement contributions.

Equal Opportunity Employer Statement: Associated Universities, Inc. (AUI) is an equal opportunity employer. To view our complete statement, please visit https://public.nrao.edu/careers . If you require reasonable accommodation for any part of the application or hiring process, you may submit your request by sending an email to [e-mail].