[Opt-Net] Lecturer/Senior Lecturer in Analytics, University of Auckland, NZ
Andrew Mason
a.mason at auckland.ac.nz
Tue Sep 30 03:16:47 CEST 2014
Lecturer/Senior Lecturer in Analytics
Engineering Science Department
University of Auckland
Auckland City Campus
New Zealand
The University of Auckland is New Zealand's largest university and
houses the country’s largest and most successful engineering school.
Within the Faculty of Engineering, the Department of Engineering Science
(DES) provides undergraduate degree programmes in Engineering Science
and Biomedical Engineering (see www.des.auckland.ac.nz). The Engineering
Science degree focuses on mathematical modelling and its application to
problems in solid and fluid mechanics and operations
research/computational analytics (ORCA). Each cohort in the Engineering
Science degree consists of about 40 students selected at Year 2 of their
degree. Entry standards are high. DES also has teaching responsibilities
in mathematics and computation to students from all disciplines within
the School of Engineering.
DES has an excellent research record in operations
research/computational analytics and provides the largest and most
successful group working in this area in New Zealand. The ORCA team
(currently seven full-time academics) has special expertise in
scheduling and rostering, ambulance scheduling, network modelling,
stochastic and multi-objective optimization, and electricity market
research. Much of this research is carried out in collaboration with
local industries, with which the group has strong links.
We are seeking to make an appointment in data-driven analytics to
complement the decision modelling expertise in the Department. We are
seeking applicants with broad interests in data analytics and its
applications, but specific expertise in machine learning, applied
probability and statistics, and database systems for mining and
analysing big data sets will be preferred. The successful applicant will
be expected to build and lead a programme of international quality
research and undertake PhD research supervision in the general area of
computational analytics; to develop and deliver curricula and courses in
the field of computational analytics; and perform service roles in the
Department of Engineering Science.
You can view and apply for this job at:
https://www.opportunities.auckland.ac.nz/psp/ps/EMPLOYEE/HRMS/c/HRS_HRAM.HRS_CE.GBL?Page=HRS_CE_JOB_DTL&Action=A&JobOpeningId=16468&SiteId=1&PostingSeq=1
Every day, The University of Auckland, New Zealand's leading university
is making exciting discoveries about the world around us and you could
be part of these activities. Our academics and researchers are leading
the way in areas such as cancer research, performing arts and the
changing face of business. Working alongside them are IT, HR and finance
professionals, research technicians, administrators, managers and
librarians, to name just a few. Whether you are an academic or
researcher seeking new challenges, a manager looking for change, or a
professional wanting to hone your skills, you will find plenty of
employment and career opportunities at The University of Auckland.
To view this role and other opportunities at The University of Auckland
and to discover the benefits of working in one of the worlds top 100
universities please visit The University of Auckland website;
www.auckland.ac.nz/opportunities. If you have any queries regarding our
vacancies or experience any difficulties in applying via the website you
can call or email human resources on askhr at auckland.ac.nz or +64 9 923 3000
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