Virginia Cosmic Origins Postdoctoral Research Associates
The University of Virginia (UVA) invites applications for Postdoctoral Research Associate positions as part of the interdisciplinary Virginia Initiative on Cosmic Origins (VICO).
The incumbents will lead an ambitious, independent research programs related to Cosmic Origins science, expected to align with the wide range of research at UVA, as well as at the National Radio Astronomy Observatory (NRAO) on the grounds of the University. The relevant themes include star formation, planet formation and evolution, planetary science, astrochemistry and astrobiology, from both theoretical and observational perspectives. See www.cosmicorigins.space for more information.
The Postdoctoral Research Associates will participate in departmental activities and promote collaboration both within VICO and with its partner institutes, Chalmers University of Technology, Gothenburg, Sweden and the Center for Astrochemical Studies at the Max Planck Institute for Extraterrestrial Physics (MPE), Garching, Germany.
There are three types of research programs: 1) Virginia Cosmic Origins Program; (2) Virginia-Chalmers Cosmic Origins Program; (3) Virginia-MPE Cosmic Origins Program. Applicants should indicate in their cover letter if they have preferences among these research programs.
All positions will start at UVA and are initially a one-year appointment, with renewal for an additional two one-year increments for the Virginia position, contingent upon satisfactory performance and available funding, and an additional three one-year increments for the Virginia-Chalmers and Virginia-MPE positions, contingent upon satisfactory performance and available funding (Years 3 and 4 would be at Chalmers or MPE).
QUALIFICATION REQUIREMENTS: Applicants are required to have a Ph.D. in astrophysics, astrochemistry, astrobiology or related disciplines by the appointment start date.
APPLICATION PROCEDURE: Apply online at https://uva.wd1.myworkdayjobs.com/en-US/UVAJobs/job/Charlottesville-VA/R... and attach as a single PDF document a cover letter; curriculum vitae; list of publications; summary of previous and current research (limited to 3 pages, including references); research proposal (limited to 3 pages text plus up to 2 pages of references/figures). Applicants should also arrange for 3 letters of recommendation to be submitted to email@example.com.
APPLICATION DEADLINE: Review of applications will begin on December 15, 2019; however, the position will remain open until filled. The University will perform background checks on all new hires prior to employment.
A competitive salary and benefits package is offered at University of Virginia. For more information on the benefits available to postdoctoral associates at UVA, visit postdoc.virginia.edu and hr.virginia.edu/benefits. The positions also include travel funds and opportunities for dissemination, networking, and international collaboration.
Questions regarding the position should be directed to: Eric Herbst (firstname.lastname@example.org), Jonathan Tan (email@example.com), Paola Caselli (firstname.lastname@example.org), Ilse Cleeves (email@example.com), Rob Garrod (firstname.lastname@example.org) or Zhi-Yun Li (email@example.com).
Questions regarding the application process should be directed to Richard Haverstrom, Faculty Search Advisor, at (rkh6j@Virginia.EDU).
Additional information about VICO can be found at http://cosmicorigins.space/
The University of Virginia, including the UVA Health System and the University Physician’s Group are fundamentally committed to the diversity of our faculty and staff. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences. We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information.