Grant Funded Researcher A, School of Electrical and Electronic Engineering

Job no: 506032
Work type: Fixed term - Full-time
Campus: Adelaide
Categories: Faculty of Engineering, Computer & Mathematical Sciences, Level A

Apply now


(Level A) $71,401 to $96,007 per annum plus an employer contribution of 17% superannuation may apply.

Full time, fixed term position available for 2.5 years.

The Grant Funded Researcher will conduct research, supervision, and administrative work in the Assessment, design and operation of battery-supported electric mining vehicles and machinery' project funded by the Future Battery Industries Cooperative Research Centre (FBICRC).

We seek a candidate with a PhD in electrical engineering, computer engineering, operation research, or applied mathematics (with research experience in power systems and smart grids) to work with us in a unique project funded by the FBICRC involving several leading Australian mining companies. This project is expected to provide the Australian mining industry with a suite of decision-making tools and information that will aid their transition towards the use of battery-supported electric vehicles (BEVs) and associated stationary machinery in their mining operations. Your contributions to this work would help a critical industry achieve its net-zero emission goal and cost reduction with a tangible impact on the climate and health of mining workers.

As a Grant Funded researcher, you will be working with a great team to conduct independent research on developing optimal algorithms for technology selection, sizing and scheduling of battery-supported mining mobile fleet. Various technologies, including trolley-assist charging and battery swapping, will be considered in the modelling. You will be responsible for the dissemination of project results, innovations and outcomes through journal and conference publications, white papers, technology development and policy engagement, and the preparation of quarterly reports to the FBICRC. You will assist the project leaders in industry engagement activities, project promotion and future grant development, and leading short courses and workshops. You will also have an opportunity to co-supervise PhD students in this project.  A one-time research allowance of $5000 for legitimate research expenses (such as attending an international conference) will also be provided.

During this project, some travel may be required to visit project partners' mining operations located in remote areas of Australia.

To be successful you will need:

  • A PhD or recognised significant experience in electrical engineering, computer engineering, applied mathematics or operations research with prior experience in power system and smart grid.
  • Experience in mathematical optimisation, preferably with applications to the power system, smart grid, or electric vehicle powertrain.
  • Advanced programming skills, preferably in Python.
  • Strong interpersonal and organisational skills and strong written and verbal communication skills.
  • Commitment to the principles of equity, diversity and inclusion, and ability to contribute to the diversity of the School community.

Enjoy an outstanding career environment

The University of Adelaide is a uniquely rewarding workplace. The size, breadth and quality of our education and research programs - including significant industry, government and community collaborations - offers you vast scope and opportunity for a long, fulfilling career.

It also enables us to attract high-calibre people in all facets of our operations, ensuring you will be surrounded by talented colleagues, many world-leading. Our work's cutting-edge nature - not just in your own area, but across virtually the full spectrum of human endeavour - provides a constant source of inspiration.

Our culture is one that welcomes all and embraces diversity consistent with our Staff Values and Behaviour Framework and our Values of integrity, respect, collegiality, excellence and discovery. We firmly believe that our people are our most valuable asset, so we work to grow and diversify the skills, knowledge and capability of all our staff.

We embrace flexibility as a key principle to allow our people to manage the changing demands of work, personal and family life. Flexible working arrangements are on offer for all roles at the University.

In addition, we offer a wide range of attractive staff benefits. These include: salary packaging; flexible work arrangements; high-quality professional development programs and activities; and an on-campus health clinic, gym and other fitness facilities.

Learn more at: adelaide.edu.au/jobs

Your faculty's broader role

The Faculty of Engineering, Computer and Mathematical Sciences is a thriving centre of learning, teaching and research in a vast range of engineering disciplines, computer science - including machine learning, high-level mathematics and architecture, planning and landscape architecture. Many of its academic staff are world leaders in their fields and graduates are highly regarded by employers.

Learn more at: ecms.adelaide.edu.au

If you have the talent, we'll give you the opportunity. Together, let's make history.

Click on the ‘Apply Now’ button to be taken through to the online application form. Please ensure you submit a cover letter, resume, and upload a document that includes your responses to all of the selection criteria for the position as contained in the position description or selection criteria document.

Applications close 11:55pm, 9 January 2022.

For further information

For a confidential discussion regarding this position, contact:

Dr Ali Pourmousavi Kani
Lecturer, School of Electrical and Electronic Engineering
P: +61 (8) 83138311
E: a.pourm@adelaide.edu.au

You'll find a selection criteria below: (If no links appear, try viewing on another device)

The University of Adelaide is an Equal Employment Opportunity employer. Women and Aboriginal and Torres Strait Islander people who meet the requirements of this position are strongly encouraged to apply.

#LI-UOA

Download the Position Description Apply now

Advertised:
Applications close:

Refer a friend

Back to search results

Share this:

| More

Job search

Filter results

Work type

Locations

Categories

Academic
Classification