Postdoctoral Fellow in Electrical Engineering
At UNSW, we pride ourselves on being a workplace where the best people come to do their best work.
The School of Electrical Engineering and Telecommunications has a vibrant research culture reflected in the achievements of its academic staff, and is currently rated as a level 5 ERA School (“Well above world standard”) in each of the 2010, 2012 and 2015 Excellence in Research Australia evaluations.
The School enjoys a world-leading reputation for research excellence, with six IEEE Fellows among our 44 academic staff. According to the Shanghai Jiaotong 2016 rankings, EE&T@UNSW is placed first in Australia. The School has innovated significantly by introducing the first 5-year integrated bachelors/masters (with minor) and first (non-conversion) 2-year accredited masters programs, each with a major component of engineering design. These innovations have positioned the School in a period of very strong growth.
Nationally, the School offers the most complete range of undergraduate and postgraduate electrical engineering and telecommunications programs, and is the largest of its kind. The School building is currently undergoing a $104m refurbishment, which when complete, will place our facilities amongst the best in the world. With a team that is recognised for its teaching excellence and innovative research, the School is producing the next generation of innovative engineers who will be equipped with the skills and knowledge to make a positive impact on industry and society. http://www.engineering.unsw.edu.au/electrical-engineering/
About the role
- Level A - $75,069 – $100,090 per annum (plus 9.5% superannuation)
- Fixed Term, 12 month contract with the possibility to extend
- Full-time position (35 hours per week)
- Conduct research in the area of vector network system identification independently and as part of a team;
- Contribute to the writing of scientific papers and reports for international journals and progress reporting to other researchers and industry partners;
- Participate in and/or present at conferences and/or workshops relevant to the project as required;
- Assist with the coordination of research activities and actively contribute to research outputs to meet project milestones;
- Contribute to the preparation of research proposal submissions to funding bodies and actively seek collaboration with industry partners, as appropriate;
- Assist with the supervision of research students in the research area, where required;
- PhD (or thesis submitted and PhD soon to be awarded) in Electrical Engineering, or related discipline, especially in Physics, Applied Mathematics, Statistics or Computer Science (Machine Learning);
- Specialisation in system identification or statistical signal processing, computer vision, computational physics or machine learning;
- Demonstrated ability to conduct independent research with limited supervision;
- Demonstrated track record of publications in refereed journals and refereed conferences relative to opportunity;
- Demonstrated ability to communicate and interact with a diverse range of stakeholders and students;
- Knowledge of:
- C programming,
- Sparsity Methods for Regularisation; Ill-conditioned Inverse Problems; Time Series Analysis; Conditional Independence Graphical Modelling; Asymptotic Methods of Statistics; Optimisation;
Applicants should address the selection criteria found within the position description, in their online application.
You may be required to undergo pre-employment checks prior to appointment to this role.
For further information about the position, please contact: Prof. Victor Solo firstname.lastname@example.org
Applications close: 11 pm on 8th November 2018