University Postdoctoral Fellow
Job no: 498313
Work type: Fixed term - Full-time
Categories: Faculty of Engineering, Computer & Mathematical Sciences, Level A
- Prestigious international university
- Wide range of employee benefits
- Level A Research Opportunity
The University of Adelaide is one of Australia's leading Group of Eight, research-intensive universities and is consistently ranked among the top 1% of universities in the world. Established in 1874, it is Australia's third oldest university with a strong reputation for preparing educated leaders and delivering research outcomes that contribute to local, national and global wellbeing.
University of Adelaide employees enjoy a range of benefits and favourable work conditions that include opportunities for career development and advancement.
The Faculty of Engineering, Computer and Mathematical Sciences is one of five faculties at the University of Adelaide. It is a centre for learning, teaching and research in a vast range of engineering disciplines, computer science and high level mathematics. Academic staff are world leaders in their fields of consulting, advanced fundamental and applied research. Graduates are highly regarded by employers. The faculty offers an intellectually exciting and innovative environment in which to work.
The School of Computer Science offers high quality accredited degrees in computer science, and software engineering, has strong links with industry and a robust research ethos.
This role will conduct research into Automated analysis of multi-modal mining core data, including image data. The main goal of the project is the development of statistical machine learning algorithms to derive geological and structural data not directly collected. It will improve decision making at exploration and mining drill sites.
Salary: (Level A) $85,307 – $91,425 per annum.
Superannuation: An employer contribution of up to 17% applies
Term of position: This fixed-term contract is available immediately for a duration of 4 years.
To be successful you should have:
- A PhD in a relevant discipline of Computer Science, Electrical Engineering or closely related field;
- A background in Machine Learning, Image Understanding. Experience in Deep Learning/Neural Networks is essential;
- A demonstrated and appropriate research track record, commensurate with project experience;
- Good programming skills in C/C++, and Python;
- Strong interpersonal, communication skills; fluency in written and spoken English;
- Ability to work individually and as a member of a broader team.
Please address and upload your responses to the selection criteria within the online application. If you have any queries regarding this position, please contact Professor Chunhua Shen, +618 8313 6745 or email: email@example.com
Please note if the selection criteria link is not appearing, you will need to view on another device.
Closing date: Friday, 20th of April, 2018 at 11.55pm
The University of Adelaide is an Equal Employment Opportunity employer. Women, Aboriginal and Torres Strait Islander people who meet the requirements of this position are strongly encouraged to apply
Advertised: Cen. Australia Daylight Time
Applications close: Cen. Australia Standard Time
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