Faculty Position in Astrophysics or Experimental High Energy Physics With Machine Learning

Faculty Position in Astrophysics or Experimental High Energy Physics With Machine Learning

University of Pittsburgh

Department of Physics and Astronomy

The Department of Physics and Astronomy at the University of Pittsburgh invites applications for a new faculty member in astrophysics or high energy physics, with a focus on individuals who apply machine learning and related computational methods as tools in their research. This position is part of an interdisciplinary initiative within the Dietrich School of Arts and Sciences to create a community of data science experts who will share new techniques with each other and disseminate them throughout their home departments. This tenure-stream position will be at the Assistant Professor level, starting on or after September 1, 2019, subject to budgetary approval.

We are seeking candidates who will complement and extend the Department’s research strengths in astrophysical surveys, theoretical cosmology, extragalactic astronomy, and collider and neutrino experiments. The Department is a member of the LSST Corporation and the Simons Observatory and participates in the ACT, DESI, SDSS, and Subaru PFS projects, as well as the ATLAS Experiment at the LHC, the Belle-II Experiment at KEK, and a number of neutrino experiments including NOvA, DUNE, MicroBooNE, NA61/SHINE, MINERvA, and T2K.

Successful candidates should have a demonstrated record of research success employing machine learning and related techniques, a vision for their future research program, and potential for a high degree of teaching effectiveness at both the graduate and undergraduate levels. They should be able to reach out to other members of our Department and connect with the broader scientific community within Pittsburgh. Any appointment will be associated with the Pittsburgh Particle Physics, Astrophysics, and Cosmology Center (PITT PACC) as well as with the Department of Physics and Astronomy.  The University’s Center for Research Computing provides free access to leading edge computational technology with hundreds of nodes and thousands of cores supporting MPI, SMP, HTC, and GPU computing (see http://crc.pitt.edu for details).

The University of Pittsburgh Department of Physics and Astronomy is also hiring for a tenure-stream position in Astrophysics. Relevant candidates are encouraged to apply to both positions; application materials may be duplicated between the two positions, but must be submitted separately. To ensure full consideration, complete applications should be received by November 1, 2018. Applications should be submitted online at https://facultysearch.as.pitt.edu/apply/index/MjM2.

Candidates should submit a letter of application; a CV which includes lists of invited talks, of grant, telescope, and computing time applications, and of leadership and mentoring activities; a research statement; a publication list; a brief statement of teaching interests and experience; and at least three letters of reference.  Applicants should also provide a statement describing their previous efforts and future plans for building and supporting a diverse, equitable, and inclusive academic environment.

For each reference, you will have the opportunity to input a personal email address or an email address generated through Interfolio’s Online Application Delivery. In both cases, an email notification will be sent to the designated address with instructions about uploading the letters to our system.

Women and members of minority groups underrepresented in academia are especially encouraged to apply. The University of Pittsburgh is an Affirmative Action/Equal Opportunity Employer and values equality of opportunity, human dignity and diversity. EEO/AA/M/F/Vets/Disabled.

Included Benefits:

University of Pittsburgh faculty receive a comprehensive package of benefits, including medical, dental, vision, and life insurance; retirement savings; and tuition scholarships for dependents. Details are available at: http://www.hr.pitt.edu/benefits.