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About the Department of Computing
The Department of Computing is committed to excellence in terms of its teaching, research, and industry and external collaborations. Being located at the northern end of Sydney’s ‘Silicon Valley’, the Department enjoys the advantages of a large green field campus in the hub of Sydney’s IT industry.
The Department of Computing aims to elevate the international standing of scientific and technological research that is already well established at Macquarie University. For more information about the department please visit www.comp.mq.edu.au/
About the Centre for Advanced Computing: Algorithm and Cryptography
Our vision is to be the leading centre in Australasia for research into algorithms, complexity and cryptography applied to advanced computing systems. we have determined a mission to develop algorithms and cryptographic methods and protocols for applications to advanced information and computation systems.
For more information, please visit https://www.mq.edu.au/research/research-centres-groups-and-facilities/innovative-technologies/centres/centre-for-advanced-computing-algorithms-and-cryptography
We are seeking one Postdoctoral Fellow to join a team of talented world-renowned researchers to work on different aspects of Distributed Algorithms in Dynamic Networks from the development of theoretical framework with the exploitation of locally available information, to the design, analysis and implementation of real-life solutions and datasets. The outcome of this research project will have both research and development applications.
The post will be funded from an Australian Research Council Discovery Project Grant awarded to Professor Bernard Mans (http://web.science.mq.edu.au/~bmans/).
The Successful Candidate
The successful candidates will be involved in a Research project on local computation in Dynamic networks, mobile, wireless, social and other ubiquitous communication networks that involve autonomous and highly dynamic entities. Disappointingly, dynamic aspects of the networks are often treated as a liability instead of an asset, even when they enhance the network. It has become clear that crucial local knowledge available within the neighbourhood of the entities can play a significant role in the efficiency of the network. The goal of this fundamental research project is to provide ground-breaking solutions to design efficient dynamic networks by exploiting this local information: what type of knowledge available locally to the dynamic entities would affect the computability or the communication complexity of solving a problem? And more importantly how and why?
To be considered for this position applicants must respond to the selection criteria below in a separate document as part of the application process
- A PhD awarded or submitted, in a relevant discipline area, such as distributed algorithms, theoretical computer science or graph theory.
- Demonstrated knowledge and skill in one or more of the following areas: Design and analysis of distributed algorithms.
- The ability to work effectively as part of a research team, and the motivation and discipline to carry out autonomous research.
- A track record of publication in top peer reviewed journals and prestigious conferences in distributed algorithms (e.g., PODC, DISC), or theoretical computer science (e.g., SODA, ICALP, STACS)
- Strong written and oral communication skills.
- A track record of science innovation and creativity including the ability and willingness to incorporate novel ideas and approaches into scientific investigations.
- Previous experience or research in software development, mathematical package and network software.
Salary Package: from $90,188 to $96,655 p.a. (Level A Step 6 to step 8; PhD required) plus 17% employer's superannuation contribution and annual leave loading
Appointment Type: Full time, 2-year fixed term position
Specific Role Enquiries: Professor Bernard Mans, Director Centre for Advanced Computing: Algorithm and Cryptography (ACAC): firstname.lastname@example.org
General Recruitment Enquiries: Diane Abinoja on email@example.com
Applications Closing Date: Sunday, 2 September 2018 at 11:55pm AEST
Macquarie University is an EO Employer committed to diversity and social inclusion. Applications are encouraged from people with a disability; women (particularly for senior and non-traditional roles); Indigenous Australians, people who identify as GLBTI; and those from culturally and linguistically diverse backgrounds
Applications need to be submitted through the Macquarie University online recruitment system. Where circumstances such as disability or remote location prohibit your access to our online system please contact the enquiries person listed in this advertisement for assistance.