ZipRecruiter

Log In

1

Machine Learning Astronomy Jobs (NOW HIRING)

Gormat

Data Scientist 2

Annapolis Junction, MD · On-site

$99K - $114K/yr

* We are seeking a Data Scientist with a background in AI, Machine Learning (ML), and Natural ... astronomy), or other science disciplines with a substantial computational component (i.e ...

Gormat

Data Scientist 2

Annapolis Junction, MD

* We are seeking a Data Scientist with a background in AI, Machine Learning (ML), and Natural ... astronomy), or other science disciplines with a substantial computational component (i.e ...

Gormat

Data Scientist 2

Annapolis Junction, MD · On-site

$99K - $114K/yr

* We are seeking a Data Scientist with a background in AI, Machine Learning (ML), and Natural ... astronomy), or other science disciplines with a substantial computational component (i.e ...

GRVTY

Data Scientist 2

Annapolis Junction, MD

This role combines artificial intelligence and machine learning skills with a strong foundation in ... astronomy), or other science disciplines with a substantial computational component (i.e ...

next page

Showing results 1-20

All JobsMachine Learning Astronomy Jobs

Machine Learning Astronomy information

See salary details

$25.5K

$42.6K

$88K

How much do machine learning astronomy jobs pay per year?

As of Jul 15, 2026, the average yearly pay for machine learning astronomy in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What is the difference between Machine Learning Astronomy vs Data Scientist?

AspectMachine Learning AstronomyData Scientist
Required CredentialsDegree in Astronomy, Physics, or related fields; knowledge of machine learningDegree in Computer Science, Statistics, or related fields; strong programming skills
Work EnvironmentResearch institutions, observatories, academiaCorporate, tech companies, consulting firms
Industry UsageAnalyzing astronomical data, developing models for celestial phenomenaBusiness analytics, predictive modeling, data visualization

Machine Learning Astronomy focuses on applying machine learning techniques to astronomical data within research settings, while Data Scientists work across various industries analyzing data to inform business decisions. Both roles require strong analytical skills and programming knowledge but differ in domain focus and work environment.

What are 5 potential jobs for astronomy?

Potential jobs for astronomy graduates include research scientist at observatories or universities, data analyst for space agencies, astrophysics researcher, science communicator or educator, and software developer for astronomical data analysis. These roles often require strong analytical skills, programming knowledge, and familiarity with telescopes or data processing tools.

How much do machine learning engineers make at NASA?

Machine learning engineers at NASA typically earn between $90,000 and $150,000 annually, depending on experience, education, and security clearance levels. Salaries may also vary based on location and specific project responsibilities, with some roles requiring expertise in data analysis, programming, and scientific computing tools.

What is machine learning astronomy?

Machine learning astronomy is the application of machine learning techniques to analyze and interpret astronomical data. This field combines computer science, statistics, and astronomy to automate tasks such as classifying celestial objects, detecting anomalies, and predicting astronomical events. With the increasing volume of data from telescopes and space missions, machine learning helps astronomers process and extract meaningful insights more efficiently. Researchers in this area develop algorithms that can learn patterns from vast datasets, leading to new discoveries and a deeper understanding of the universe.

What are the key skills and qualifications needed to thrive as a Machine Learning Astronomer, and why are they important?

To thrive as a Machine Learning Astronomer, you need a strong background in astrophysics, statistical analysis, and programming (often with a PhD in a related field). Proficiency with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and astronomical data systems is essential. Critical thinking, problem-solving, and effective collaboration are key soft skills for innovating solutions and working within research teams. These skills enable the effective analysis of large astronomical datasets, driving new discoveries and advancements in the field.

Does NASA have machine learning engineers?

NASA employs machine learning engineers to develop algorithms for data analysis, spacecraft navigation, and scientific research. These roles often require expertise in programming, data science, and tools like Python and TensorFlow, with positions available through federal job portals and NASA's career website.

What are some common challenges faced by professionals working in machine learning astronomy?

Machine learning astronomers often encounter challenges such as handling extremely large and complex datasets, ensuring data quality, and effectively preprocessing astronomical data to reduce noise and artifacts. Additionally, interpreting model results in a scientific context can be demanding, as it requires both technical expertise and domain knowledge. Collaboration with astronomers, data engineers, and software developers is essential to ensure that machine learning models are both accurate and scientifically meaningful.

Can AI replace astronomers?

Machine Learning Astronomers use AI to analyze large datasets, identify patterns, and make predictions about celestial phenomena. While AI can automate data processing and assist in research, it does not replace the need for human expertise in designing experiments, interpreting results, and making scientific judgments. The role of astronomers remains essential for guiding AI applications and advancing understanding of the universe.
More about Machine Learning Astronomy jobs
What cities are hiring for Machine Learning Astronomy jobs? Cities with the most Machine Learning Astronomy job openings:
What states have the most Machine Learning Astronomy jobs? States with the most job openings for Machine Learning Astronomy jobs include:
What job categories do people searching Machine Learning Astronomy jobs look for? The top searched job categories for Machine Learning Astronomy jobs are:
Machine Learning Astronomy jobs near you
Infographic showing various Machine Learning Astronomy job openings in the United States as of July 2026, with employment types broken down into 2% Locum Tenens, 81% As Needed, 7% Full Time, 7% Part Time, and 3% Summer. Highlights an 64% Physical, 1% Hybrid, and 35% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Postdoctoral Researcher in Time Domain Astrophysics

Postdoctoral Researcher in Time Domain Astrophysics

Villanova University

Villanova, PA • On-site

Full-time

Re-posted 13 days ago

Villanova University rating

7.5

Company rating: 7.5 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

275th of 555 rated colleges and universities

Job description

Posting Details
Do you have questions about the application process? If so, please refer to the Applicant FAQ's.
Posting Details (Default Section)
Posting Number:
20251248F
Position Title:
Postdoctoral Researcher in Time Domain Astrophysics
Position Type:
Faculty
Location:
Villanova, PA
Recruitment Type:
Internal/External Applicants
Work Schedule:
full-time/12-months
Department:
186-Physics
Position Summary:
The Department of Physics at Villanova University invites applications for a postdoctoral position in time domain and high-energy astrophysics with Prof. Becka Phillipson. Successful candidates will work on topics broadly related to the study of transient and variable phenomena, with a focus on accreting compact sources (e.g., XRBs, AGN) in preparation for the upcoming Rubin Observatory's LSST. Projects will draw on new and archival observations from optical ground-based (e.g., Zwicky Transient Facility) and satellite (e.g., TESS) observatories, with potential supplementary data from X-ray observatories, and involve complexity analysis on uniquely variable sources. Applicants with general experience related to these observatories, timing variability of compact sources, time domain methodologies generally, machine learning techniques, OR complexity analysis/nonlinear dynamics are particularly well-matched to the opportunity, but applicants with theoretical expertise related to compact object variability or the aforementioned methodologies are also encouraged to apply.
The Villanova Physics Department is dedicated to excellence in teaching and research, and we recognize the importance of involving our undergraduates in cutting-edge research. We are particularly interested in candidates who can contribute in such an atmosphere. Successful candidates will take advantage of opportunities to mentor students in research and in career development. Postdoctoral researchers in the Physics Department also have the opportunity to gain compensated teaching experience in college classrooms. The position is planned for two years, with additional years contingent on the availability of funding.
Villanova is a Catholic university sponsored by the Augustinian Order. The University is an equal opportunity employer and seeks candidates who understand, respect and can contribute to the University's mission and values.
Duties and Responsibilities:
Duties: Analyze/simulate and interpret timing variability of accreting compact sources. Help supervise and mentor students working on related topics. Teach physics, if desired.
Minimum Qualifications:
PhD (or imminent defense) in Astrophysics, Physics, Math/Statistics, or related field
Preferred Qualifications:
Strong interest and expertise in high-energy astrophysics, particularly in timing analysis
Physical Requirements and/or Unusual Work Hours:
Special Message to Applicants:
Review of applications will begin on 7/23 and will continue until the position is filled.
Applications should be submitted to
jobs.villanova.edu/positionwith:
  • a cover letter
  • a 3-page statement of research interests
  • a CV with publication list
  • "Statement of Mission." The statement of mission is a 1-page document detailing the applicant's intended contributions to the University Mission and Enduring Commitments (found here: https://www1.villanova.edu/university/president/about-university.html).
  • Contact information for at least three references, who will receive a secure email link to upload confidential letters of recommendation when the application is submitted.

The intended start date can be as early as September 1 (Fall 2025). For more information, please feel free to email Becka Phillipson at rebecca.phillipson@villanova.edu.
Posting Date:
07/07/2025
Closing Date (11:59pm ET):
Salary Posting Information:
Competitive.
Salary Band:
Job Classification:
faculty

What Villanova University employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Villanova University logo

About Villanova University

Sourced by ZipRecruiter

Villanova University, located in Villanova, Pennsylvania, United States, operates within the higher education industry. Its establishment traces back to 1842 by the Augustinians, a Catholic religious order. The university offers a wide range of academic programs in various disciplines, including Liberal Arts and Sciences, Engineering, Nursing, Business, and Law, serving over 10,000 undergraduate, graduate, and law students. Guided by its Augustinian Catholic intellectual tradition, it is committed to community service, and it seeks to cultivate knowledgeable, thoughtful, and ethical leaders. The university’s mission is to empower students to ignite change, with a vision for a just and peaceful world.

Industry

Colleges, universities, and professional schools

Company size

1,001 - 5,000 Employees

Headquarters location

Villanova, PA, US

Year founded

1842

Social media

FacebookTwitter

View All Villanova University Jobs

Apply