The School of Mathematics and Applied Statistics (SMAS) is seeking to appoint two enthusiastic and capable statisticians to undertake academic duties consistent with ongoing Associate Lecture (Level A) or Lecturer (Level B) appointments
Requirements:
To succeed, you will be a talented and well-qualified statistician with a PhD in statistics. You will have an active research program in an area of statistics compatible with current research interests in the School, excellent teaching credentials and a proven ability to work well in a team environment. Strong potential to achieve research excellence in applied statistics and become an effective teacher are required and a strong desire and ability to contribute to the development in statistics teaching and research, including its role in Data Science and Analytics
Text:
- Associate Lecturer/Lecturer in Statistical Science (190391) Go to the main content section. The School of Mathematics and Applied Statistics (SMAS) is one of the most vibrant and active mathematical sciences communities in Australia, with an exceptional research record in applied statistics through the National institute for Applied Statistics Research Australia (NAISRA) . NIASRA’s objective is to achieve excellence in applied statistics research by undertaking high-quality and high-impact research, consulting, and professional education and training. It collaborates extensively with researchers in government and industry and also within UOW on selected projects. It includes research professors Ray Chambers, Noel Cressie, Brian Culllis and David Steel. The School of Mathematics and Applied Statistics (SMAS) is seeking to appoint two enthusiastic and capable statisticians to undertake academic duties consistent with ongoing Associate Lecture (Level A) or Lecturer (Level B) appointments. To succeed, you will be a talented and well-qualified statistician with a PhD in statistics. You will have an active research program in an area of statistics compatible with current research interests in the School, excellent teaching credentials and a proven ability to work well in a team environment. Strong potential to achieve research excellence in applied statistics and become an effective teacher are required and a strong desire and ability to contribute to the development in statistics teaching and research, including its role in Data Science and Analytics. The University is committed to workforce diversity and removing barriers to participation. The University is seeking to increase the representation of women in the academic workforce across science, technology, engineering, mathematics and medical (STEMM) disciplines and encourages suitably qualified candidates to apply. You will be prompted to respond to the selection criteria as part of the online application process, based on the position description below. You will be able to save your application at any time and submit at a later date if required, you will only be able to do this before the closing date of the position. For further information about this position, please contact Senior Professor Aidan Sims on 61 2 4221 5003. Note: Applications submitted via email will not be considered. All applications must be submitted online via the UOW job portal. For further information please contact uow-recruitment@uow.edu.au !|! 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All privacy rights will be protected.!|!false!|!Tell us about a person who might be interested in working for our organization. All privacy rights will be protected.!|!true!|! !|!Apply for this position online!|!Apply to this position by email!|!Add this position to the job cart!|!!|!!|!!|!" type="hidden"> Welcome. You are not signed in. | My Account Options My Job Cart | Sign In This service is set to disconnect automatically after {0} minutes of inactivity. Your session will end in {1} minutes. Click OK to reset the timer to {0} minutes. You have been signed out. This service is set to sign out after {0} minutes of inactivity. Job Search My Jobpage Basic Search | Beginning of the main content section. Return to the home page Printable Format Associate Lecturer/Lecturer in Statistical Science Faculty of Engineering and Information Sciences Permanent/Continuing full-time appointment Two positions available The School of Mathematics and Applied Statistics (SMAS) is one of the most vibrant and active mathematical sciences communities in Australia, with an exceptional research record in applied statistics through the National institute for Applied Statistics Research Australia (NAISRA) . NIASRA’s objective is to achieve excellence in applied statistics research by undertaking high-quality and high-impact research, consulting, and professional education and training. It collaborates extensively with researchers in government and industry and also within UOW on selected projects. It includes research professors Ray Chambers, Noel Cressie, Brian Culllis and David Steel. The School of Mathematics and Applied Statistics (SMAS) is seeking to appoint two enthusiastic and capable statisticians to undertake academic duties consistent with ongoing Associate Lecture (Level A) or Lecturer (Level B) appointments. To succeed, you will be a talented and well-qualified statistician with a PhD in statistics. You will have an active research program in an area of statistics compatible with current research interests in the School, excellent teaching credentials and a proven ability to work well in a team environment. Strong potential to achieve research excellence in applied statistics and become an effective teacher are required and a strong desire and ability to contribute to the development in statistics teaching and research, including its role in Data Science and Analytics. The University is committed to workforce diversity and removing barriers to participation. The University is seeking to increase the representation of women in the academic workforce across science, technology, engineering, mathematics and medical (STEMM) disciplines and encourages suitably qualified candidates to apply. You will be prompted to respond to the selection criteria as part of the online application process, based on the position description below. You will be able to save your application at any time and submit at a later date if required, you will only be able to do this before the closing date of the position. For further information about this position, please contact Senior Professor Aidan Sims on 61 2 4221 5003. Note: Applications submitted via email will not be considered. All applications must be submitted online via the UOW job portal. For further information please contact uow-recruitment@uow.edu.au Position Description Primary Location : Australia-New South Wales-Wollongong Employee Status : Permanent/Continuing Schedule : Full-time Closing Date : 22/04/2019, 2:59:00 PM Salary Details : Level A/B: $77,470 - $113,353 17% superannuation Reference Number : 190391 HR Contact : Ugo De Gori Contact Email : ugo@uow.edu.au
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