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Machine Learning Astronomy Jobs in Utah (NOW HIRING)

Machine Learning Astronomy information

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 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.

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.

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.

How is machine learning used in astronomy?

Machine learning astronomy involves applying algorithms to analyze large datasets from telescopes and space missions, enabling tasks such as identifying celestial objects, classifying galaxies, detecting exoplanets, and predicting cosmic phenomena. Professionals in this field often use tools like Python, TensorFlow, and data analysis techniques to interpret complex astronomical data efficiently.

What are popular job titles related to Machine Learning Astronomy jobs in Utah?

For Machine Learning Astronomy jobs in Utah, the most frequently searched job titles are:

What cities in Utah are hiring for Machine Learning Astronomy jobs?

Cities in Utah with the most Machine Learning Astronomy job openings:

Infographic showing various Machine Learning Astronomy job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Assistant/Associate/Professor for Physics & Astronomy

Salt Lake City, UT • On-site


University of Utah
Colleges, Universities, and Professional Schools • 10K+ employees

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Company rating: 7.2 out of 10

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$110 - $160/hr

Other

Retirement

Posted 14 days ago


Job description

The University of Utah, an AA/EO employer, encourages applications from all qualified individuals, and provides reasonable accommodation to the known disabilities of applicants and employees. The University of Utah values candidates who have experience working in settings with students, staff, faculty and patients from all backgrounds and possess a strong commitment to improving access to higher education, employment opportunities, and quality healthcare for historically underrepresented groups.

Position Information

Proposed Faculty Rank

Proposed Faculty Rank Open

Department

Department 00127 - Physics and Astronomy

City

City Salt Lake City, UT

Track

New Position to Begin

New Position to Begin August 1, 2027

Details

The Department of Physics & Astronomy at the University of Utah invites applications for a tenure-track faculty position in Theoretical Condensed Matter Physics at the rank of Assistant Professor. Exceptional candidates at a higher rank, Associate or Full Professor level, will also be considered. The anticipated start date is August 1, 2027.

We seek applicants with outstanding research accomplishments and the potential to develop an internationally recognized research program in theoretical condensed matter physics, and to strengthen undergraduate and graduate teaching and mentoring.

The search is open to all areas of theoretical condensed matter physics. We are particularly interested in candidates whose research expands the department’s condensed matter program through (i) computational studies of quantum many-body systems and quantum materials that combine advanced numerics with analytical insight, and/or (ii) condensed matter physics at the interface with quantum information science or advanced machine learning. We welcome candidates who will enrich our active and intellectually diverse condensed matter group and participate in interdisciplinary research initiatives in quantum science.

Applicants must have a Ph.D. in Physics or a closely related field. The application must include a cover letter summarizing the applicant’s interest in the position; a curriculum vitae; a statement of research interests and plans; a statement of teaching philosophy; and at least three letters of recommendation.

For full consideration, complete applications must be received by December 1, 2026.

EEO/Non-Discrimination Information

The University of Utah values candidates who have experience working in settings with students and possess a strong commitment to improving access to higher education.

Veterans’ preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities.

Consistent with state and federal law, the University of Utah does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran’s status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both.

To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Title IX ( OEO ). More information, including the Director/Title IX Coordinator’s office address, electronic mail address, and telephone number, can be located at https://www.utah.edu/nondiscrimination/.

Online reports may be submitted at https://oeo.utah.edu.

The University is a participating employer with Utah Retirement Systems ( “URS”). Eligible new hires with prior URS service may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at (801) 581-7447 for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS’ post-retirement rules and restrictions. Please contact Utah Retirement Systems at (801) 366-7770 or (800) 695-4877 or University Human Resource Management at (801) 581-7447 if you have questions regarding the post-retirement rules.

This position may require the successful completion of a criminal background check and/or drug screen.

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This report includes statistics about criminal offenses, hate crimes, arrests and referrals for disciplinary action, and Violence Against Women Act offenses. They also provide information about safety and security-related services offered by the University of Utah. A paper copy can be obtained by request at the Department of Public Safety located at 1658 East 500 South.

Special Instructions for Candidates

Open Date

Open Date 08/03/2026

Close Date

Open Until Filled Yes

Requisition Number

Requisition Number PRN01549CF

Type

Type Faculty

Posting Specific Questions

Required fields are indicated with an asterisk (*).

  • Do you have a PhD in Physics or a related field?
    • Yes
    • No
Required Documents
  • Cover Letter
  • Curriculum Vitae
  • Teaching Statement
  • Research Statement
Optional Documents
  • Historical Only – Do Not Use – See Description for More Information – Appropriate discharge document (such as DD-2214) – Veteran Only
  • Historical Only – Do Not Use – See Document Description for More Information – Addendum to the University of Utah – Veteran Only

University Human Resource Management
250 East 200 South, Suite 125 Salt Lake City, UT 84111
Contact us: (801) 581-2169 By Email: employment@utah.edu

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About University of Utah

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The University of Utah is the state’s flagship institution of higher education, with 18 schools and colleges, more than 100 undergraduate majors and graduate programs, and an enrollment of more than 38,000 students. It is a member of the Association of American Universities—an invitation-only, prestigious group of 71 leading research institutions. The U is advancing a new national model for higher education that delivers societal impact through education, research, health care, and community service, while making social, economic, and cultural contributions that improve lives across Utah and around the world.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Salt Lake City, UT, US


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Benefits

Hours and flexibility

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