[Announcements] Closing in a week: Research Fellow @RMIT Melbourne in a collaborative Australian Research Council project with Cambridge and Waterloo

[Flora Salim]

Research Fellow -- Machine Learning, Recommender Systems, Intelligent Assistant

* Full time - 2-3 years Fixed term/Contract
* $96,564 - $114,672 + 17% super, flexible working arrangements on offer.
* Convenient Central City Location in Melbourne, One of The World's Most Liveable Cities
* RMIT Job no: 576402
https://yourcareer.rmit.edu.au/caw/en/job/576402/research-fellow-computer-science

The Role
This is an exciting opportunity for a Research Fellow to work within the research team from RMIT, with Dr. Flora Salim and Dr. Yongli Ren, in collaboration with Prof Cecilia Mascolo from University of Cambridge and Prof Charlie Clarke from University of Waterloo, on the Australian Research Council Discovery project "Multi-resolution Situation Recognition for Urban-Aware Smart Assistant". This project will develop a new situation recognition and recommender systems framework that is resilient to urban disruptions.

Skills & Experience
You will have:
* Emerging track record for high quality research outputs which will contribute to existing Discipline and School research areas
* Demonstrated experience in the following areas: machine learning, time-series, spatio-temporal data mining.
* Relevant publications in high quality Q1 peer reviewed journals and track records in A/A* conferences ranked by CORE in AI and machine learning, ubiquitous / pervasive / mobile computing.
* Excellent interpersonal and communications skills appropriate for interacting with higher degree by research candidates, staff and industry.
* Hold a PhD in Computer Science.

The position will be embedded in the RMIT Context Recognition and Urban Intelligence (CRUISE) group, led by Flora Salim, a part of the RMIT Centre for Information Discovery and Data Analytics (CIDDA).

About RMIT
RMIT is a multi-sector university of technology, design and enterprise with more than 91,000 students and 11,000 staff globally. RMIT offers postgraduate, undergraduate, vocational education and online programs to provide students with a variety of work-relevant pathways.

The School of Science is one of RMIT's top-performing research schools, we deliver research that addresses the 'real life questions' essential to Australia's innovation agenda. We attract esteemed experts and researchers from around the world and has strong partnerships with industry and international collaborators.

The RMIT Centre for Information Discovery and Data Analytics (CIDDA) specialises in developing new approaches to find relevant information in massive data collections. With an established history of internationally renowned research in information retrieval, data mining, databases, knowledge discovery, statistics, and machine learning, CIDDA establishes a capability for processing the enormous volume of data produced by new technologies. CIDDA research staff tackle both the technical challenges posed by the volume and complexity of this data, as well as the human and organizational challenge of interacting and making sense of such data. CIDDA staff collaborate with partners in industry, government, and scientific organizations to investigate significant challenges in society and business, and help create value for Australia through new insights and innovations driven by turning massive data collections into knowledge.
The centre has 24 academic members, 6 postdocs, and close to 80 PhD students.
https://www.rmit.edu.au/research/research-institutes-centres-and-groups/research-centres/centre-for-information-discovery

The key members of the centre are among the chief and partner investigators of the new ARC Centre of Excellence for Automated Decision Making and Society, to commence in 2020, for 7 years, administered by RMIT University.
https://www.arc.gov.au/2020-arc-centre-excellence-automated-decision-making-and-society

To Apply
For a confidential discussion, please contact Flora Salim, or view a position description visit yourcareer.rmit.edu.au and search using job reference number 576402.

Deadline
Applications close on 21 Jan 2020 11:55 PM AUS Eastern Daylight Time (GMT+11).
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