Duties & Responsibilities:
The Department of Statistics at North Carolina State University invites
applications for two Postdoctoral Research Scholars in Statistical
Image Analysis and/or High Dimensional Inference. This research scholar
position provides full funding without any teaching requirements at a
competitive salary for up to 2 years beginning August 2013.
Position Qualifications:
A PhD in statistics, electrical engineering, computer science or
related field is required. Criteria for selection include demonstrated
research ability in statistical image analysis and/or high dimensional
inference, and an interest in medical imaging, astronomy, networks or
environmental research. Verbal and written communication skills are
also important. Women and members of under-represented minority groups
are particularly encouraged to apply.
Salary Range:
Commensurate with experience
Benefits:
Eligible to receive medical health benefits at no charge. More
information about benefits can be found at
http://www.ncsu.edu/grad/postdoctoral-affairs/BenefitsforPostdoctoralEmployees.html
Web Site:
//www.stat.ncsu.edu/
Application Address: To apply, visit
https://jobs.ncsu.edu and designate position number 00103142.
Applicants must complete an applicant profile and attach a letter of
application, curriculum vitae, and contact information for three
references. To view more information about the position, visit
https://jobs.ncsu.edu and designate position number 00103142. To apply
applicants must complete an applicant profile and attach a letter of
application, curriculum vitae, and contact information for three
references. All applicants will be considered until the position is
filled. For more information about the department, see
http://www.stat.ncsu.edu. North Carolina State University is an equal
opportunity and affirmative action employer or genetic information. In
addition, NC State welcomes all person without regard to sexual
orientation. Individuals with disabilities desiring accommodations in
the application process should call (919) 515-3148.
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