Monash University: Research Assistant

Dates or Deadline: 
19 May 2019
Organized by: 
SensiLab at Monash University

Job No.: 590655

Location: Caulfield campus

Employment Type: Full-time

Duration: 2 year fixed-term appointment

Remuneration: $68,040 - $92,343 pa Level A (plus 9.5% employer superannuation)

  • Be inspired, every day

  • 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.

The Opportunity

The Faculty of Information Technology aims to lead global IT research and education. We are seeking a Research Assistant, interested in advancing emerging technologies in Machine Learning and Artificial Intelligence applied to creative applications, to join our team at SensiLab.

SensiLab is a multi-disciplinary, bespoke research facility dedicated to the future of creative technology, based at Monash’s Caulfield Campus. Jointly supported by the Faculties of Information Technology and Art Design and Architecture (MADA), our work explores the untapped potential of technology, its impacts on society and the possibilities it presents.

Reporting to the SensiLab Director, you will provide research support for the SensiLab Creative AI research team by applying new and emerging AI technologies to creative projects. You’ll also undertake applied software design, implementation and evaluation using SensiLab’s advanced laboratory and technical facilities.

To be considered for this position, you must have an honours degree or doctoral qualifications in Machine Learning, Artificial Intelligence or Computational Creativity and relevant experience. Applicants with a doctoral qualification will be strongly considered. An established or developing creative practice in music, sound art, visual art, architecture, design or performance is also essential.

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.

Your application must address the selection criteria. Please refer to "How to apply for Monash Jobs".


Professor Jon McCormack, SensiLab Director, +61 3 9903 2187.

Position Description

Download File Research Assistant

Closing Date

Monday 29 April 2019, 11:55 pm AEST (extended 19 May 2019)

To Apply – please follow this link: