[Opt-Net] PhD opportunity in Operations Research and Optimization at University of Newcastle, Australia

Amir Salehipour amir.salehipour at gmail.com
Fri Dec 16 02:44:45 CET 2016

Dear all,

There is an opportunity for a PhD scholarship in Operations Research at
University of Newcastle, Australia. Please see below for a description of
the project. Please feel free to circulate it to your colleagues/research

Dr Amir Salehipour
School of Mathematical and Physical Sciences
University of Newcastle (UON), AUSTRALIA
Tel: (+61) 0467670987 <+61%20467%20670%20987>

Apologies for cross-posting

PhD Scholarship in Operations Research
University of Newcastle, Australia
School of Mathematical and Physical Sciences

Project topic
The topic of the PhD dissertation will on developing optimization tools and
solution methodologies for the Aircraft Landing Problem, where the focus is
on exact algorithms.

The Aircraft Landing Problem (ALP) is an important class of scheduling
problems. Optimal solution of an ALP has applications in the areas of
transportation and health care delivery, providing significant benefits to
systems experiencing long delays. Available solution methodologies for the
ALP cannot solve very large size instances of the problem. This PhD project
will build the optimization tools to advance current solution methodologies
for the ALP.

Scholarship: a stipend of $26,682 per annum (2017 rate). Successful
international applicants will have the tuition fees waived for the duration
of the scholarship. For more on the available scholarships at the
University of Newcastle see https://www.newcastle.edu.au/r

How to apply: Interested applicants are encouraged to send their expression
of interest including transcripts and CV to Dr Amir Salehipour at
a.salehipour at newcastle.edu.au before 10 January 2017.

Eligibility: Honors or Masters degree in Industrial Engineering,
Mathematics, Computer Sciences or related fields. Applicants are expected
to have a strong understanding of mathematical programming, and exact and
heuristic algorithms. Having a good grasp of meta-heuristic algorithms is
an advantage. Experience in programming in C++, and Python as well as
working with the solver CPLEX/Gurobi is a must.
The applications are considered as soon as they are received.
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