Ohio State University

Ohio State University

Postdoctoral Scholar

Columbus Campus, USA

Sponsorship not specified$65k-$68kDetected 3 days ago
PythonMachine LearningComputer VisionStatisticsHRISResearchPublic Speaking

About the role

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  • For assistance with applying, please contact hr-accessibleapplication@osu.edu.

Responsibilities

  • Successful candidates will contribute to Roman Galactic Exoplanet Survey (RGES) science through the development of gravitational microlensing theory, analysis of Roman commissioning and early GBTDS data, support for event-analysis and planet occurrence-rate pipelines, and the publication of scientific results based on Roman exoplanet data.

Requirements

  • Doctoral degree in Ph.D. in Astronomy, Astrophysics, or a closely related field by the time of hire.
  • If you have questions while submitting an application, please review these frequently asked questions.
  • You can review the additional job description section on postings for documents that may be required.
  • Skip "Autofill with Resume" and choose "Apply Manually." Answer only the required questions.
  • Inquiries regarding the position may be directed to Scott Gaudi (gaudi.1@osu.edu), but all application materials must be submitted through the application system.
  • Doctoral degree in Ph.D. in Astronomy, Astrophysics, or a closely related field by the time of hire. Candidates should have strong scientific programming skills using modern languages such as Python or C++. Expertise in statistical analysis, machine learning, and data-driven modeling applied to large astronomical datasets and time-domain surveys is highly desirable. Although experience with microlensing and transit exoplanet searches is advantageous, applicants with demonstrated expertise in time-domain astronomy, gravitational lensing, large-scale Galactic surveys, or synthetic Milky Way population modeling are also strongly encouraged to apply.
  • Additional Information:
  • The Department of Astronomy, within the College of Arts and Sciences, seeks several Postdoctoral Scholars to join our team. The College of Arts and Sciences is the largest college and the academic heart of the university. The College hosts 81 majors. With 38 departments, 20+ world-class research centers, and more than 2,000 faculty and staff members, students have the unique opportunity to study with the best artists, scholars, and scientists in their field. The College values diversity and offers a supportive, open, and inclusive community.
  • The target hiring range is $65,000-$68,000. The actual salary will fall within this range based on internal equity, the candidate's qualifications and available funding. The position is for up to 3 years with an expected start date in Fall 2026. The position will be based on the OSU main campus in Columbus, Ohio, USA.
  • Applications will be reviewed until the position is filled. Applying before September 1, 2026 is strongly recommended.
  • Applications should include:
  • A cover letter which includes a motivation for applying for the position, and the names, institutions, and email addresses of at least three individuals who can provide recommendation letters upon request. A curriculum vitae. A list of research publications (either separately or as part of the CV). A brief description (3 pages maximum) of past and proposed future research.
  • We strongly prefer that these be provided as a single PDF document with the elements given in the order listed above.
  • Within the application system, we recommend that applicants:
  • Skip "Autofill with Resume" and choose "Apply Manually." Answer only the required questions. Upload your documents under the "My Experience" section.

Compensation

  • The actual salary will fall within this range based on internal equity, the candidate's qualifications and available funding.

Benefits

  • The actual salary will fall within this range based on internal equity, the candidate's qualifications and available funding.

This listing is sourced directly from Ohio State University's careers page and normalized into a canonical job model.