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Job ID: 96925

Statistical Computing Scientist (Sparse Linear Systems)
University of Wollongong

  • Sep. 13, 2017
 
 
  • Open until filled
  • Available immediately
  •  
 
  • Research Scientist/Associate
  • Statistics & Actuarial Science
    Mathematics/Applied Mathematics
    Computer/Information Sciences
 
 
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UNIVERSITY OF WOLLONGONG


 



 
 

- Full-Time, Fixed Term appointment (3 years)

The Faculty of Engineering and Information Sciences is a research intensive Faculty with extensive teaching operations in Australia, Asia and the Middle East. The National Institute for Applied Statistics Research Australia (NIASRA) is committed to developing and applying innovative statistical methods to important problems. It undertakes a range of fundamental and contract research, major consulting projects, and professional education in statistical methodology.

The Centre for Bioinformatics and Biometrics (CBB) within NIASRA is seeking to appoint a motivated applied Statistical Computing Scientist to develop and document high performance linear algebra routines and supporting data structures to solve large systems of equations as the core of a statistical system to fit the linear mixed model to large data sets arising in the biological sciences as part of an industry funded project.

As a key member of the project team you will have the opportunity to undertake research and develop (from symbolic formulations or original research) or adapt (existing) linear algebra routines that support the efficient solution of large, potentially singular, dense or sparse systems of equations; including hardware and software opportunities for parallel processing.

For further information about this position, please contact Professor Brian Cullis on + 61 2 4221 5641.

To apply for this position please visit our employment page, www.uow.edu.au

The University plan seeks to increase the diversity of the workforce and the representation of women in areas they have been traditionally under-represented. Consistent with this, 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.


 
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Contact Information

 
  • Professor Brian Cullis
    Faculty of Engineering and Information Sciences
    University of Wollongong
    Wollongong
    Australia
  •  
  • +61 2 4221 5641
 

 

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