[Opt-Net] Three funded PhD positions at University of Technology Sydney

[Amir H Gandomi]

*********** Apologies if you receive multiple times this announcement
***********

There are three funded PhD positions are available in my group at the
University of Technology Sydney, with topis of:

   - Genetic programming for big data analytics
   - Improving deep and machine learning using second-order information
   - Constrained and black-box optimisation using population-based
   algorithms

More info about the projects and instructions on how to apply:
https://www.uts.edu.au/about/faculty-engineering-and-information-technology/research-faculty-engineering-and-it/research-5

*Location*: University of Technology Sydney – City campus. UTS is #1 young
university in Australia in 2019 based on QS and THE ranking. Also, UTS is
ranked #29 globally and #1 in Australia for the subject area of Computer
Science and Engineering (based on 2019 ARWU rankings)  Project Detail: This
project is about incorporating second-order information into machine
learning methods in order to boost the initialization and learning
processes. From the machine learning methods in this project, it
particularly focuses on deep neural networks. Several topics are going to
be investigated in this project including hybrid approaches, big data
analytics, graph theory, large scale problems.

*Requirements*: A solid background in data and computer sciences as well as
strong programming skill. A master degree in data science, computer
science, mathematics, AI, engineering, or related field. Publications with
major conferences and/or journals.

For informal enquiries, please send an email to
gandomi at uts.edu.au

Best regards,
Amir

-- 

*Amir H Gandomi*
Professor of Data Science

*Faculty of Engineering & Information Technology*
University of Technology Sydney
T. +61 (02) 9514 5081 E. gandomi at uts.edu.au
PO Box 123 Broadway NSW 2007 Australia
*uts.edu.au* <https://www.uts.edu.au/staff/amirhossein.gandomi>
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