Astrophysical Data Scientist — AI & Extragalactic Data

Caltech; Pasadena (CA); Presencial; USD 78.000 - 120.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Tuition reimbursement

Descripción de la vacante

Caltech IPAC seeks a scientist to enhance data ingestion accuracy and rate, validating data and exploring extragalactic archive science. You will contribute to NED’s mission, joining a team of scientists and engineers to deploy AI-enhanced validation across large, heterogeneous datasets.

The role emphasizes processing, cross-matching validation, and developing scalable tools while collaborating with researchers to enable science use cases within NASA’s strategic framework.

Formación

• PhD in astronomy, physics, computer science or a related field.
• Two years of post-PhD experience in astronomy.
• Knowledge of astronomical coordinate systems, nomenclature, astrometry, photometry, galaxy classifications, and observational techniques.
• Demonstrated experience in at least one stage of the production, validation, or analysis of astronomical data sets.
• Experience in computer programming.

Responsabilidades

• Apply NED’s current methods for locating, extracting, transforming, and integrating data into the system.
• Perform science-based validation of NED data, including vetting the results of automated cross-matching software.
• Develop new tools (e.g., powered by AI) for validating data quality on larger scales from heterogeneous data sources
• Work with scientists and engineers on the team to develop and apply new tools to accelerate the flow and fusion of data into NED.
• Respond to user support requests related to the scientific content of NED.
• Help design and validate NED services and interfaces to enable science use cases for NED data.
• Conduct research, including archival research exploiting NED’s content and data synthesis.

Conocimientos

Data science

Programming experience

Research skills

Machine learning

Python

Extragalactic astronomy publications

Large datasets

Educación

PhD in astronomy/physics/CS

Herramientas

Python

Descripción del empleo

Caltech IPAC seeks a scientist to enhance data ingestion accuracy and rate, validating data and exploring extragalactic archive science. You will contribute to NED’s mission, joining a team of scientists and engineers to deploy AI-enhanced validation across large, heterogeneous datasets.

The role emphasizes processing, cross-matching validation, and developing scalable tools while collaborating with researchers to enable science use cases within NASA’s strategic framework.