Position in Statistics

[James A. Mingo]

Statistics, Queen's University at Kingston

The Department of Mathematics and Statistics invites
applications for a tenure-track appointment in Statistics at
the Assistant Professor level to begin July 2005.

Successful applicants must have a strong research record and
demonstrate the potential for research leadership.

Candidates must have the ability to teach a range of
probability and statistics courses and supervise graduate
students.  Salary will be commensurate with qualifications
and experience. Exceptionally qualified candidates may be
appointed at the rank of Associate Professor.

Candidates should have a Ph.D. in statistics, in pure or
applied mathematics or a related area. The research
interests of the present faculty are non-parametric
estimation and image analysis, spectral analysis of
stationary and non-stationary processes, and non-parametric
Bayesian statistics and classification.

Interested candidates should arrange for a curriculum vitae,
a description of research interests, up to five publications
or preprints, a statement on teaching or a teaching dossier,
and at least four letters of reference, one of which should
comment on the candidate's teaching, to be sent to the
address below by December 1, 2004. Applications will be
considered until the position is filled but priority will be
given to those received before December 1, 2004. Further
instructions are available at
http://www.mast.queensu.ca/positions/

James A. Mingo,  Associate Head
Department of Mathematics and Statistics
Queen's University, Kingston
Ontario   K7L  3N6

fax: (613) 533-2964
e-mail:  position at mast.queensu.ca
http://www.mast.queensu.ca


All qualified candidates are encouraged to apply; however
Canadians and permanent residents will be given priority.
The University invites applications from all qualified
individuals.  Queen's is committed to employment equity and
diversity in the workplace and welcomes applications from
women, visible minorities, aboriginal people, persons with
disabilities and persons of any sexual orientation or gender
identity.  Academic staff at Queen's University are governed
by a collective agreement, the details of which are posted
at http://www.queensu.ca/qufa.