Research Associate/Research Fellow, Data Mining/Machine Learning
About the job
You will conduct research in the area of data analytics for the proposed ARC Training Centre in Data Analytics for the Oil and Gas Industry between UniSA and Santos. In this role, you will get the opportunity to conceptualise and conduct industry applied and high quality applied predictive analytics research independently and as a member of an interdisciplinary team. You will liaise closely with key project stakeholders including industry, government and research organisations outside the University to ensure the project is delivered on time, on budget and to the stakeholder’s satisfaction.
Reporting directly to the Head of School: Information Technology & Mathematical Sciences through the Associate Head of Research Education, you will assist with the supervision of honours and/or post-graduate research students on projects of your expertise.
Skills and Experience
To be considered for this excellent opportunity, you will have a PhD or a Masters in data mining or machine learning. You will also have a strong track record of industry applied and high quality predictive analytics research commensurate with the length of research career. A strong experience in coding and programming will help you be successful in this role.
Lastly, given the nature of the role, it will be an advantage if come with high-quality project management, interpersonal and communication skills.
*Please note that the level of appointment will depend on the qualifications and experience of the successful applicant(s).
A University of Enterprise
The University of South Australia (UniSA) is an innovative, outward-looking institution known for its strong and engaged research and its experientially-based teaching and learning that is conducted in close collaboration with business, industry, government and the professions.
In recent years, we have maintained a strong upward trajectory across a number of key indicators and are ranked among the world’s top 50 young institutions. We are committed to international education activities and alumni, graduates who are equipped to meet the demands and expectations of the worldwide workforce, a culturally diverse staff and increasing student mobility.
Benefits on offer
At UniSA, we seek to enrich people’s lives through the creation and application of knowledge. Our staff love to be a part of an organisational culture that promotes a strong commitment to educating professionals, sharing knowledge, and engaging with our communities.
We offer a competitive remuneration package and we have a family friendly approach to ensure you enjoy a healthy work/life balance.
Lodging your application
For a copy of the position description and to apply, please visit https://workingatunisa.nga.net.au/. Please refer to the online application form which will indicate which selection criteria you need to address. For further information about the position or the recruitment process, please contact Amruta Das, Recruitment Consultant at Recruitment Central on +618 8302 1700 or via email to firstname.lastname@example.org.
Applications close: 9:00 am Monday 12 March 2018
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In addition to your salary, the University will make employer superannuation contributions. The amount of superannuation you are entitled to will depend on the nature of your employment. You will also be entitled to annual leave loading, and other beneficial employment conditions. See more benefits of working for UniSA
How to apply:
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