Research Fellow in Network Resources Allocation

Monash University

Australia

Research Fellow (Program Network Resources Allocation)

Job No.: 613164

Location: Clayton campus

Employment Type: Full-time

Duration: 12-month fixed-term appointment

Remuneration: $ 69,401 - $ 94,190 pa Level A (plus 9.5% employer superannuation)

  • Improving outcomes for better and more efficient networks
  • Drive your own learning at one of the world’s top 80 universities
  • Take your career in exciting, rewarding directions

Everyone needs a platform to launch a satisfying career. At Monash, we give you the space and support to take your career in all kinds of exciting new directions. You’ll have access to quality research, infrastructure and learning facilities, opportunities to collaborate internationally, as well as the grants you’ll need to publish your work. We’re a university full of energetic and enthusiastic minds, driven to challenge what’s expected, expand what we know, and learn from other inspiring, empowering thinkers.

Professor Hai L. Vu and his research team are looking to hire a highly qualified Research Fellow to join the Department of Civil Engineering at Monash University to work on an ARC Discover project that will study distributed resource allocation to improve the real-time responsiveness for the Internet and mathematically analogous networks such as transportation networks. Efficient allocation of limited network resources will reduce unnecessary congestion (or delay), improve resilience and better cater for the growing and diverse demand in these networks.

In your new role, you will focus on conducting research relevant to an ARC discovery project. This will involve developing and extending existing mathematical models and solving optimisation problems for efficient resource allocation in complex networks. This project begins from Feb 2021. The team aims to provide a mathematical framework that will equally applicable for similar complex networks while seeking implementable distributed algorithms to improve the level of service that matches to the requirements of the application or demand.

Does this sound like something you may be interested in? Keep reading!

About you:

As the Research Fellow, you will utilise your strong research, mathematical or optimization background, analytical skills and ability to solve complex problems to make significant contributions to the research efforts of the team. You will have the unique opportunity to develop research proposals and support junior researchers.

The project involves the development and implementation of optimisation formulations for complex networks with heterogenous requirements and it will be desirable if you have experience in working with various optimisation models and solvers, as well as ability to simulate and conduct numerical experiments with large scale networks. In particular, skills in convex optimization, stochastic modelling and on-line optimisation together with knowledge in traditional data networking and road traffic networks would be preferable.

You will have excellent organisational capabilities, outstanding verbal and written communication skills and a demonstrated ability to work as part of a team. To be successful in this role, you will have a doctoral qualification in Engineering, Mathematics or a closely related field.

What’s on offer?

Working for one of the most influential universities in Australia, you will join a University that spans over 4 campuses in Victoria. Within our research team, we have worked hard to create a culture that will challenge you to be curious, creative and courageous. We also support the professional and personal development of all our employees and invest in the skills of our people. We also have state of the art research facilities such as super computer facility, visualisation Lab and connected autonomous vehicles.

This role is a full-time position; however, flexible working arrangements may be negotiated.

At Monash University, we are committed to being a Child Safe organisation. Some positions at the University will require the incumbent to hold a valid Working with Children Check.

How to apply?

Please submit your resume with a cover letter describing why you are interested in the role and what skills you can bring to this position. Your application must address the selection criteria. Please refer to "How to apply for Monash Jobs".

Enquiries

Professor Le Hai Vu, Civil Engineering, +61 3 9905 9696, Hai.Vu@monash.edu

Position Description

Download FileResearch Fellow

Closing Date

Monday 18 January 2021, 11:55 pm AEDT


In your application, please refer to Polytechnicpositions.com

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