University of Pennsylvania, Department of Physics and Astronomy

Position ID:Penn-Department of Physics and Astronomy-PENNPRINCETONPOSTDOC [#26385]
Position Title: Penn-Princeton postdoc in dark matter and galaxy formation
Position Type:Postdoctoral
Position Location:Philadelphia, Pennsylvania 19104, United States [map] sort by distance
Subject Area: Cosmology / Astrophysics Theory
Appl Deadline:2023/12/15 11:59PMhelp popup (posted 2023/10/25, listed until 2024/04/25)
Position Description:    

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We invite applications for a joint postdoctoral position with Prof. Robyn Sanderson at University of Pennsylvania and Prof. Mariangela Lisanti at Princeton University to study galaxy formation and dynamics in the context of different dark matter models. Applicants must have a PhD in physics, astrophysics, or a closely related field by the start of the position. Our ideal candidate will demonstrate in their application:

- Experience working with hydrodynamical or N-body simulations

- A working knowledge of galactic dynamics and/or dark matter phenomenology

- A record of research independence, accomplishment and creativity

- Experience working in a team, including specific actions that have contributed to an inclusive environment

The successful candidate will be appointed for 2 years as a postdoctoral fellow in the Department of Physics & Astronomy at Penn and as a Visiting Postdoctoral Research Associate in the Department of Physics at Princeton, with a possible 1-year extension. The postdoc will be expected to spend minimum two days per week at each institution; the two sites are 1h15m apart by car or public transportation. The position is expected to start in September 2024 (exact date negotiable).

Penn’s Department of Physics & Astronomy hosts the Center for Particle Cosmology (http://particlecosmo.sas.upenn.edu/), a vibrant and diverse group of researchers in astrophysics and particle theory. Penn’s School of Arts and Sciences also supports the Data Driven Discovery Initiative (http://web.sas.upenn.edu/data-science), which connects researchers using machine learning and data-driven techniques across disciplines. At Princeton, the Center for Statistics and Machine Learning (http://csml.princeton.edu/) provides programming associated with interdisciplinary data science. The successful applicant for this position will have the opportunity to participate in all three Centers.

Please submit the following by 15 December 2023:

- A research statement that addresses the criteria above (3pg max, excluding references)

- A curriculum vitae

- Names and contact information for three references who can provide letters

The Department of Physics and Astronomy, the School of Arts and Sciences, and the University of Pennsylvania are committed to creating a community of students, scholars, and staff that reflects the diversity of the world we live in. We create working and learning environments that are affirming, equitable, and inclusive. As a community, we value dynamic interactions and thoughtful discussions, and strive for an environment where everyone is supported and valued. For information on the School of Arts and Sciences’ inclusion and anti-racism initiatives, please see: https://www.sas.upenn.edu/2020-inclusion-and-anti-racism-initiatives

Princeton University is an Equal Opportunity/Affirmative Action employer, and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law.

For inquiries please contact Robyn Sanderson (robynes@sas.upenn.edu) at Penn or Mariangela Lisanti (mlisanti@princeton.edu) at Princeton.


Application Materials Required:
Submit the following items online at this website to complete your application:
And anything else requested in the position description.

Further Info:
email address
 
Physics and Astronomy
University of Pennsylvania
209 South 33rd Street
Philadelphia, PA 19104-6396