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The United Arab Emirates University invites applications for a faculty position in Statistics. Qualified candidates at assistant professor level is preferred but candidates at other levels will be considered. Candidates are expected to have a strong commitment to teaching excellence and student advising at the undergraduate and graduate levels, a demonstrable research capability that will enable the candidate to develop and sustain an internally and/or externally funded research program in his/her area of expertise, publish his/her research findings in refereed journals, and actively engage in promoting the growth of the UAE University. The application package should include a cover letter, a detailed resume, a brief description of current/future research activities, teaching philosophy, and courses taught. English is the language of instruction and communication. Screening of applications will continue until the position is filled.
The United Arab Emirates University invites applications for a faculty position in Statistics. Qualified candidates at assistant professor level is preferred but candidates at other levels will be considered. Candidates are expected to have a strong commitment to teaching excellence and student advising at the undergraduate and graduate levels, a demonstrable research capability that will enable the candidate to develop and sustain an internally and/or externally funded research program in his/her area of expertise, publish his/her research findings in refereed journals, and actively engage in promoting the growth of the UAE University. The application package should include a cover letter, a detailed resume, a brief description of current/future research activities, teaching philosophy, and courses taught. English is the language of instruction and communication. Screening of applications will continue until the position is filled.
Applicants must have an earned doctorate in Statistics.
The ability to teach undergraduate courses is a must.
Industrial and professional experience is a plus.
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PhD in statistics with solid teaching and research experience.
Industrial/or consulting experience is highly valued
before the closing date.
Onsite
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