Postdoc Fellow: Dusty AGN Interferometric Imaging

University of Arizona; Tucson (AZ); Sur place; USD 60 000 - 80 000; Plein temps

Avantages offerts par ce poste

Full benefits

Résumé du poste

University of Arizona invites applications for a Postdoctoral Research Associate fellowship to explore the dusty inner regions of active galactic nuclei using infrared interferometric imaging from the Large Binocular Telescope. The successful candidate will work with Drs.

Steve Ertel, Xiaohui Fan, and Richard Green, contributing to modeling interpretation and data reduction techniques. The position encourages the fellow to pursue independent research, apply for grants, and collaborate across a

Qualifications

• Must have completed all the requirements for a Ph.D. in Astronomy, Physics, Astrophysics, or a related science at the time of hire.
• Preferred: Ph.D. in Astronomy.
• Experience in interferometric imaging or modeling of dusty inner regions of AGN is desirable.

Responsabilités

• Develop and lead an independent research agenda centered on Fizeau interferometric imaging of dusty inner regions of active galactic nuclei; disseminate work through publications and presentations; contribute to public-engagement opportunities.
• Develop and implement research initiatives, collaborations, publications, and/or events as needed and relevant to research agendas.
• Collaborate with faculty and scholars in support of a collegial academic environment (including organizing collaborative meetings, supervising/mentoring graduate and undergraduate students).
• Additional duties as assigned.

Formation

Ph.D. in Astronomy

Ph.D. in Astronomy, Physics, Astrophysics, or related science

Description du poste

University of Arizona invites applications for a Postdoctoral Research Associate fellowship to explore the dusty inner regions of active galactic nuclei using infrared interferometric imaging from the Large Binocular Telescope. The successful candidate will work with Drs.

Steve Ertel, Xiaohui Fan, and Richard Green, contributing to modeling interpretation and data reduction techniques. The position encourages the fellow to pursue independent research, apply for grants, and collaborate across a