First listed on: 25 September 2018

Postdoctoral Research Associate
Centre for Quantum Software and Information /Faculty of Engineering and Information Technology
 
The Centre for Quantum Software and Information (QSI) occupies a unique position in the Australian quantum technology community. Our research is focused on methodologies and capabilities of quantum software and information technologies, with a significant focus on the development of new applications for these technologies. The UTS:QSI research agenda has five key research programs, which are: Quantum Algorithms and Complexity, AI Applications of Quantum Computing, Intermediate Quantum Computing and Architectures, Quantum Programming and Verification, and Quantum Information Theory and Security.
 
We are now on the hunt for a talented and motivated early career researcher who is looking to propel their career and be mentored by some of the top researchers in the field. 
If successful in securing this role, you will join the research group of Dr Chris Ferrie to work on the AUSMURI-funded project “Quantum control based on real-time environment analysis by spectator qubits”.
 
This Australian project, which is linked to the US-funded MURI project of the same name and led by Prof. Brown at Duke, involves close collaboration with solid-state experimentalist Prof. Morello (UNSW) and quantum control theorists Dr. Paz-Silva and Prof. Wiseman (Griffith).
 
By applying control theoretical methods, augmented with machine-learning, to multiple physical qubit platforms, this project aims to develop and implement a novel quantum control paradigm in which a spectator quantum system monitors, in real time, the environment of the data-carrying quantum bits, enabling the mitigating of the effect of that environment through feedback control or other compensation strategies. The position is required to focus on the machine learning aspects of this project—in particular, developing and implementing the software to achieve these goals.
 
The Centre prides itself on providing a collegiate environment for all staff and this is a rare chance to help shape the future  
 
To be considered for this role you will have:
  • A PhD Degree in Computer Science, Mathematics, Physics or a very closely related field.
  • Demonstrated track record in the areas of quantum information and/or machine learning through high quality research publications (in top Journals/conferences in the related areas).
  • Comprehensive knowledge in quantum information and machine learning
  • High quality publication record in quantum information and/or machine learning. 
  • Software development experience and/or experience with machine learning platforms.
  • High quality results for government funded research projects (equivalent to ARC Discovery Projects) as a contributor.
  • Worked productively on industry projects or international projects. 
  • Mentored and/or co-supervised undergraduate, honours, Masters or high degree research (HDR) students.
  • Developed competitive grant proposals or industry links and projects.
 
It is an exciting time to join the QSI and to be in SydneyAS the successful candidate, you can be assured that you will be working with a supportive cohort of academics and will receive solid support from the institution in regard to research.
 
Remuneration & Benefits
 
Base Salary Range: $76,630 to $93,330 pa Level A
 
This role attracts 17% superannuation in addition to the base salary. 
 
Our commitment to work/life support includes benefits such as flexible work practices, child care centres, generous parental leave and support to carers.
 
Whilst as Australia’s premier city, Sydney is consistently ranked in the top 10 cities worldwide for quality-of-living.
 
This position is full-time and appointment will be made on a fixed-term basis for 32 months. 
 
How To Apply
 
Prior to commencing your application for IRC117051 please review the Position Statement and the relevant selection criteria - click on the apply link to be taken to the relevant page. You are required to address the selection criteria in your submission in a separate document. For information to assist you with compiling statements to answer the selection criteria, please visit Answering Selection Criteria 
   
Please note that only those applications submitted via the UTS online recruitment system will be accepted.  Current UTS employees should apply through their UTS Employee Self Service function.
 
As you will be unable to save your application once started, please have all required documents and information available prior to commencing. 
 
Please ensure that the file name for each document submitted includes IRC117051. 
 
Specific enquiries or issues with your application may be directed to the UTS Recruitment Team at recruitment@uts.edu.au or on +61 (0) 2 9514 1080.
 
Please be advised that as part of the selection process that you may be requested to deliver a presentation, the audience for which may include individuals not on the Selection Panel. 
 
Closing Date:  Thursday 25th October 2018 at 11.59pm (AEST)
 
Please note: We are only accepting on-line applications for this post, however, if you have a disability that makes it difficult for you to provide us with information in this way, please contact the Recruitment Team for assistance.
 
UTS is widely acknowledged as a leader in promoting gender equity and social justice. Cited as a WGEA Employer of Choice since the inception of the award, UTS is a current participant in the SAGE pilot program, the Australian trial of the Athena Swan gender equity accreditation program. We welcome applications from women, particularly for senior and non-traditional roles.
 
 
 
 



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