[Job-offers-cs] Statistics position at University of North Carolina, Chapel Hill
Pekka Orponen
pekka.orponen at aalto.fi
Sat Oct 12 14:28:51 EEST 2019
-------- Forwarded Message --------
Subject: [SIAM-OPT] Statistics position at University of North
Carolina, Chapel Hill
Date: Mon, 7 Oct 2019 15:10:57 +0000
From: Lu, Shu <shulu at email.unc.edu>
To: Pekka Orponen <pekka.orponen at aalto.fi>
CC: Optimization SIAG mailing list <siam-opt at siam.org>
The Department of Statistics and Operations Research at the University
of North Carolina at Chapel Hill has an opening for a tenure-track
position in statistics at the assistant professor level starting July 1,
2020.
Candidates are required to have a doctorate in statistics or a relevant
field by the start date of the appointment. The Department is seeking
candidates who have demonstrated interest in timely areas of application
(e.g., social & computer networks, imaging, data mining, climatology,
health-care analytics, genomics, business analytics, forensic science),
have a strong theoretical training and the potential to maintain an
excellent research program. The successful candidate will be comfortable
with teaching courses in applied and theoretical statistics at the
undergraduate and graduate levels, as well as introductory courses in
the department. The potential for interaction with other groups in the
department and the university will be a positive factor in the
consideration of candidates. We are particularly interested in
candidates working at the interface of statistics and optimization.
We will begin considering candidates after October 27, 2019, and will
continue accepting applications until the position is filled. The
application package should include a cover letter, an up-to-date
curriculum vitae, research and teaching statements, representative
papers, and a graduate transcript. Applicants should also arrange for
four letters of recommendation. At least one of the letters should
include an evaluation of the applicant's teaching ability. Application
materials and letters of recommendation must be submitted in electronic
form only; click on http://unc.peopleadmin.com/postings/169804 to apply
for this position. Candidates will be required to identify the names,
titles and email addresses of professional references (4 required).
Reference providers identified by the applicant will be contacted via
email with instructions for uploading their letters of support.
The University of North Carolina at Chapel Hill is an equal opportunity
employer that welcomes all to apply, including women, underrepresented
minorities, protected veterans, and individuals with disabilities.
Informal inquiries may be addressed to Richard Smith at
rls at email.unc.edu <mailto:rls at email.unc.edu>.
---
Shu Lu, Associate Professor
Department of Statistics and Operations Research
University of North Carolina at Chapel Hill
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