Dynamic modelling of wind farms and complementary technologies

PhD students and Post-doctoral Research Fellows wanted for dynamic modelling of wind farms and complementary technologies at the Melbourne Energy Institute, University of Melbourne, Australia

This project will develop dynamic models of wind farms using readily measurable inputs, in turn enabling optimal integration of complementary technologies. These complementary technologies are intended to enhance the economic performance of the wind farm in several ways, all of which will make the wind farm a more controllable resource.

This project will be undertaken by a multi-disciplinary and collaborative team that span our Faculties of Science and Engineering. Researchers in this team include the following people.

Dr. Claire Vincent, Earth Sciences
Prof. James Bailey, Computing and Information Systems
Prof. Michael Brear, Melbourne Energy Institute
Prof. Chris Manzie, Electrical and Electronic Engineering
Prof. Jason Monty, Mechanical Engineering

Post-doctoral Research Fellows and PhD students Wanted 

We are currently looking for outstanding post-doctoral research fellows and PhD students to work on this project. These people should ideally have strength in at least one of the following areas.

  • fluid dynamics, and preferably experimental methods (including LIDAR) and atmospheric science;
  • applied mathematics, statistics or machine learning;
  • optimisation of energy systems.

We note that experience in the above is not essential, and talented scientists and engineers with a strong case are strongly encouraged to apply.

If you are interested in working on one of more of these projects, please email Ms. Ruby Brown ruby.brown@unimelb.edu.au by Friday 14th December, 2018 with the following information.

Prospective PhD students

  • a 1-2 page .pdf statement detailing why this specific project interest you
  • a .pdf copy of your CV, including the contact details of three referees
  • .pdf copies of your Bachelor’s and (if applicable) Master’s transcripts

Prospective Post-doctoral Research Fellows

  • a 1-2 page .pdf statement detailing which specific project/s above interest you and why
  • a .pdf copy of your CV, including the contact details of three referees

Receive the latest in energy news from across the University Subscribe here