Spectrum Planning

Engineering, IT, Mathematics and Statistics

PLEASE NOTE

  • This internship is able to cover project costs for domestic students only.
  • The Industry Partner has implemented appropriate preparations to comply with Federal and State Government requirements regarding COVID-19 safety. Due to remote arrangements, this internship is now accepting applications from eligible PhD students nationwide.

PROJECT BACKGROUND

Consunet Pty Ltd delivers Information Technology consulting, software engineering and related services to the Australian Defence industry, Government organisations and commercial enterprise customers.

The Electromagnetic Spectrum is a finite instantaneous resource being accessed by many devices simultaneously. Traditional approaches channelize the spectrum and users are allocated to the spectrum. Many users can be allocated to this channelization. The problem complexity increases as we allow many users to be allocated to many channels and the goal is to maximise meeting the varying demands of the users and their devices to the available resources. The problem abstraction is one of having competing (prioritised) demands for finite available resources. The demands will have a duration and other characterisations such as timeliness (delay tolerance) and types or combinations of resources that can achieve the task.

RESEARCH TO BE CONDUCTED

This project seeks to develop on-line planner(s) to perform satisficing allocation of resources to the job demands. The successful applicant will work with the Consunet Research Team to realise and evolve practical on-line planners. The research challenges are:

  1. to characterise the planning problem
  2. recommend available baseline planning approaches
  3. identify a suitable test and evaluation methodology and
  4. from experimentation develop improved suitable planners nuanced to the spectrum planning problem.

SKILLS AND QUALIFICATIONS REQUIRED 

We are looking for a PhD student with the following:

  • Computer Science
  • Mathematics – Optimisation
  • Artificial Intelligence – Planning

EXPECTED OUTCOMES 

To be negotiated with the successful candidate and academic mentor.

ADDITIONAL DETAILS

The intern will receive $3,000 per month of the internship, usually in the form of stipend payments.

It is expected that the intern will primarily undertake this research project during regular business hours and maintain contact with their academic mentor throughout the internship either through face-to-face or phone meetings as appropriate.

The intern and their academic mentor will have the opportunity to negotiate the project’s scope, milestones and timeline during the project planning stage.

LOCATION:
Adelaide, SA or can be completed remotely
DURATION:
6 months
CLOSING DATE:
10/06/2020
ELIGIBILITY:
Domestic students only
REF NO:
APR - 1226

INTERNSHIP CONTACT

CONNECT WITH APR.INTERN

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