Two Postdoctoral research fellow positions at the University of Melbourne's Department of Computing & Information Systems

Join a world-class research group in one of two open postdoctoral research fellow positions at the University of Melbourne's Department of Computing & Information Systems, situated in one of the world's most liveable cities. Applications close end of February.

The first position is in adversarial machine learning. Little is known about how well state-of-the-art inference techniques fare when data is manipulated by a malicious adversary; this project aims to evaluate the robustness of broad classes of learners using tools from optimisation, and to explore consequences of robustness to computer security. This position is funded by an Elon Musk-backed grant from FLI. Further details:

http://jobs.unimelb.edu.au/caw/en/job/887407/research-fellow-in-adversarial-machine-learning

The second position is to research machine learning and systems. Topics span probabilistic databases, adaptive importance sampling, crowd sourcing, data integration, machine learning workflows. This position is funded by an Australian Research Council grant "Democratising Big Machine Learning". Further details:

http://jobs.unimelb.edu.au/caw/en/job/887416/research-fellow-in-machine-learning-systems

Both positions offer a competitive salary of $82k AUD plus 9.5% superannuation (PhD entry level A6). Applications close at the end of February via the links above.

For queries please email the project CI, Ben Rubinstein at benjamin.rubinstein@unimelb.edu.au Or visit http://bipr.net to learn more about the research group which has strong international collaborations and connections to industry. The CI will be at AAAI'16 this month.

Close date: 1 Mar 2016

Postdoc position in Databases at La Trobe University Melbourne Australia

La Trobe University Melbourne Australia is seeking a Postdoctoral Fellow with a strong background in the broad areas of Databases, Data Integration, Data Warehousing, Data Analytics, Data Semantics, and Ontology. This position is within the Databases research group at the Department of Computer Science and Information Technology in the School of Engineering and Mathematical Sciences, on the Melbourne campus. Melbourne has been named “the most liveable city in the world” five times in a row over the last 5 years.

The Department has a strong research culture and is ranked eighth in Australia on the basis of research publication impact and citations (CWTS Leiden Ranking, Mathematics and Computer Science). The Databases group within the department leads multi-disciplinary research and industry collaborations nationally and internationally.

The Postdoc Fellow is expected to produce high calibre publications, and be able to engage and collaborate in multi-disciplinary research with industry and external partners.   International applicants are encouraged to apply.

Key Selection Criteria

•  A PhD in Computer Science or another relevant discipline.
•  Strong record of research publication, with evidence of quality and impact, relative to opportunity.
•  Experience in the preparation of research proposals submitted to external funding bodies.
•  Demonstrated ability to work collaboratively and productively with research students, and external stakeholders from multi-disciplinary domains.
•  Ability to liaise effectively with a range of collaborators nationally and/or internationally and with industry partners.
•  Demonstrated high level of self-motivation and personal management skills.

Position Supervisor: Prof. Wenny Rahayu
Salary Package: $80,864 p.a. plus 17% superannuation (total $94,611)
Duration: 3 years

Deadline of application: 21 February 2016

To apply, please send a complete CV together with the names and contact information of three referees by e-mail to: W.Rahayu@latrobe.edu.au
Please write subject title: Postdoctoral Fellow in Databases


Professor Wenny Rahayu
Head, School of Engineering and Mathematical Sciences
La Trobe University | Victoria 3086, Australia
T: +61 3 9479 1282 | F: +61 3 9479 3060

Two PhD scholarships on scalable data intensive systems are available at UTS Australia

Two PhD scholarships are available at UTS Australia. Each is with $26288 per year for stipend for three years (with possible six month extension) with tuition fee waived.

One is research based. The other is research and industry based. Both will work on scalable data intensive systems including scalable data analytics, salable data systems with scalable data infrastructure, scalable cross-domain software systems.

Strong track record on scalability, Spark/Hadoop, data mining, machine learning or software engineering is preferred. IELTS score is required with overall no less than 6 and writing no less than 6.

Please contact Dr. Jinjun Chen at Jinjun.Chen@uts.edu.au if you are interested.

For more information, please refer to www.swinflow.org/~jchen or http://www.uts.edu.au/research-and-teaching/our-research/global-big-data-technologies-centre