Research Fellow (Department of Electrical and Computer Systems Engineering) Job No.:
Clayton campus Employment Type:
Casual appointment Remuneration:
Casual academic rates will apply
- Utilise your demonstrated data analysis skills in a newly funded research project in power and energy area!
- Work with a team of supportive and knowledgeable researchers with an industry collaboration.
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. The Opportunity
At the Department of Electrical and Computer Systems Engineering , we have an exciting project, funded by the Centre for New Energy Technology, AusNet Services, and Powercor. The project aims to address industry's pressing need to have a detailed knowledge about the 'last mile' of the electricity grids, i.e., low voltage (LV) distribution networks. This challenge is creating barriers to uptake solar PV, batteries, and electric vehicles in LV grids. The project will provide a detailed understanding to distribution companies of the existing LV distribution networks to assist the electricity industry's transition from centralised generation with one way-flow to generation with a bi-directional flow throughout the distribution networks.
A great opportunity exists for the right individual to join a strong research team on a casual basis (hourly wage: $47.03 without the doctoral qualification & $56.25 with the relevant PhD) and work closely with other research groups across multiple disciplines. In this role, you will focus on the analysis of large-volume energy data from smart meters; developing algorithms and computer codes for phase classification and topology identification in LV networks; and geographical mapping using GIS data and the inferred topology. The position provides a great opportunity to collaborate with industry experts and academics.
In this role, you will conduct research and contribute to regular reports, scientific publications, conference presentations and general public engagement. Exposure to occasional involvement in teaching and supervision of research project within your field of expertise will be available. This position is primarily based on Clayton Campus. To be successful in this role, it is essential that you have:
- A degree, preferably PhD qualification, in Electrical Engineering, Computer Science, Data Science and/or a related area
- knowledge in the modelling and analysis of power distribution networks and an experience in data analysis
- experience in the development of computer codes in MATLAB, Python, R, etc
- Experience in machine learning and optimisation is highly desirable
- an ability to be a productive member of an innovative team and to collaborate with industry partners
- project management skills and ability to deliver project milestones within timelines
We offer our staff a range of on-site services available at our campuses . Depending on your work location, this may include on-site childcare, gym, pool, bookshop, health services, food outlets, banks, post office, Oxfam etc. Staff members have a chance to participate in cycling, yoga, Pilates, aerobics and other classes before work, during lunchtime and after work at our Clayton, Caulfield and Peninsula campuses .
Monash University strongly advocates diversity, equality, fairness and openness. We fully support the gender equity principles of the Athena SWAN Charter and invite you to join us in celebrating women in STEMM . How to apply?
To be considered for this role, you must submit a Resume
and a Cover Letter
describing the relevant degree/qualification and your demonstrated knowledge in the modelling and analysis of power networks and an experience in data analysis. Be sure to also include your relevant work experience in similar field.
For instructions on how to apply, please refer to " How to apply for Monash Jobs ".
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. Enquiries
Dr Reza Razzaghi, +61 3 9905 3503, reza. razzaghi@monash. edu Closing Date
Monday 28 September 2020, 11:55 pm AEST Supporting a diverse workforce
Back to search results Email Job