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Academic Position Open University of Sydney

Academics with a background in Audio signal processing, Speech and Language Processing, Machine Learning encourage to apply.


Faculty of Engineering and Information Technologies

Reference number: 294/0216


Teaching and research position - Opportunity to enhance and develop your academic profile

Utilise your expertise to enhance research-led teaching in coursework and research programs.

Full-time continuing position, remuneration $135k – $160kp.a., leave loading and up to 17% superannuation


The University of Sydney is Australias first university and has an outstanding global reputation for academic and research excellence. It employs over 7500 permanent staff, supporting over 52,000 students.


The Faculty of Engineering and Information Technologies at the University of Sydney is consistently ranked in the top 50 engineering and technology universities in the world. The School of Electrical and Information Engineering (EIE) has a strong and proud tradition in contributing to world class research and teaching in the fields of electrical and information engineering throughout its long history.   Established in 1883, School counts some of the most eminent Australian industry leaders and engineering professionals amongst its Alumni.    


The School’s research tradition is built upon strong disciplines supported by faculties and schools, cross-disciplinary initiatives, and commitments to rigour and depth in research and research training. EIE has a reputation for the quality of its graduates, innovation in its undergraduate curriculum and for the strength of its research and postgraduate teaching programs. Major research outcomes have been achieved in the fields of software, bio-electronics, computer, photonics, power and telecommunication engineering.


We are seeking to appoint a Lecturer or Senior Lecturer with a strong track record of research and teaching in Electrical Engineering with specialized focus on Computer Engineering, Software Engineering, Electronics Engineering, Digital Systems or a closely related discipline.


Essential Qualifications:


A PhD in Electrical Engineering, Computer Engineering, Software Engineering, Electronics Engineering, Digital Systems or a closely related discipline.


Essential Experience/Skills/Knowledge:


Demonstrated track record in two of the key research and teaching areas in Computer Engineering, Software Engineering, Biomedical Engineering, Electronics or Digital Systems.

Established research track record including research publications in top journals and conferences

Track record of teaching excellence and a strong commitment to teaching and learning, including experience in lecturing and curriculum development.

Demonstrated capacity to work independently and collaboratively.

Track record of obtaining research funding and/or supervising a research team.

Excellent communication and interpersonal skills.


Desirable Criteria:


Strong international engagement (for example through memberships on program committees and editorial boards)

Demonstrated ability to engage with industry

Track record in interdisciplinary research

Academic and/or Industry experience in one or more of the following areas: FPGA design, embedded systems, integrated circuit design, acoustic engineering, sensor arrays and super-resolution imaging, signal processing machine learning, electrical impedance tomography.


The successful candidate will be expected to build research collaborations within the School, the faculty, the University, industry, and beyond, and to apply for competitive research funding to develop their research area.


To be considered for this position it is essential that you address the online selection criteria. For guidance on how to apply visit: http://sydney.nga.net.au/cp/index.cfm?event=jobs.viewJobDetailsNewApplication&AccessibilityMode=true&jobid=DC35D770-B3D5-6C62-4031-91B64D17523B



General enquiries can be directed to Dan Kuhner on 02 8627 0934 or at dan.kuhner@xxxxxxxxxxxxx


CLOSING DATE: 11:30pm 22 April 2016


The University is an equal opportunity employer committed to equity, diversity and social inclusion. Applications from equity target groups, including women and people with disabilities are encouraged. As the University of Sydney has established a scheme to increase the number of Aboriginal and Torres Strait Islander staff employed across the institution, applications from people of Aboriginal and Torres Strait Islander descent are also encouraged.



The University reserves the right not to proceed with any appointment.


Craig Jin | Associate Professor | Head of CARlab 
Computing and Audio Research Laboratory | School of Electrical and Information Engineering

Maze Crescent, Rm 854, Building J03 | The University of Sydney | Sydney | NSW | 2006                 
+61 2 9351 7208  | F +61 2 9036 5449    
E  craig.jin@xxxxxxxxxxxxx     | W http://www.ee.usyd.edu.au/carlab

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