Postdoctoral Research Fellow in Machine Learning

The School of Information Technology and Electrical Engineering
Job No: 504103

It is an exciting time to get involved with the School of Information Technology and Electrical Engineering, located on UQ’s St. Lucia campus. The School is ramping up its investment in teaching, research and engagement to create an inspiring, diverse and flexible workplace. The direction is backed by a bold, new strategic vision to ensure the School is at the forefront of meaningful research outcomes and pedagogy across its core impact areas of health, data, automation and energy. Boasting strong student enrolments in professionally accredited programs, combined with world-class researchers and facilities, the School is focused on strengthening its position in the global computer science and engineering communities. By attracting the brightest minds and fostering a truly innovative and collaborative work environment, the School will develop global solutions to contemporary issues and mentor the leaders of tomorrow. Details of the School may be accessed on its website at http://www.itee.uq.edu.au/

The Role

The appointee will work in close collaboration with a team of researchers on projects related to the development of a system to monitor traffic, identify vehicles and detect anomalies using a network of in-road microwave sensors. Applicants should possess qualifications in relevant disciplines and demonstrate achievement and knowledge in machine learning, data mining, sensor fusion, as well as demonstrated competency in C/C++, Python and/or MATLAB. In addition, the appointee may have to contribute to other projects run by the team as per the supervisor instructions

The successful appointee is expected to participate in planning and executing research as well as assessing outcomes and generating reports. She/He will be required to disseminate the outcome of the project in high quality publications and potential commercialization.

The person

Applicants should possess qualifications in relevant disciplines. They should also have a strong desire to develop a successful and highly-productive research career specifically, in developing novel algorithms for data analysis, fusion and anomaly detection using data of distributed sensors

Applicants should demonstrate expert knowledge in any of the areas of Machine Learning, Data Mining, or Signal Processing, good general research skills, a strong methodological background, excellent statistical and analytical skills, and the capacity to work with multidisciplinary research teams. They  are expected to demonstrate high-level interpersonal skills including the ability to communicate, consult and negotiate with other stakeholders to ensure project objectives are met

The University of Queensland values diversity and inclusion.

Applications are particularly encouraged from Aboriginal and Torres Strait Islander peoples. Applications are also encouraged from women.

This role is a full-time position; however flexible working arrangements may be negotiated.

Remuneration

This is a full-time, fixed term appointment at Academic Level A. The remuneration package will be in the range $64,534 - $87,535 p.a., plus employer superannuation contributions of up to 17% (total package will be in the range $75,504 - $102,416 p.a.).

Enquiries

To discuss this role please contact Professor Amin Abbosh on +61 7 3365 8356 or a.abbosh@uq.edu.au

To submit an application for this role, use the Apply button below.

Application Closing Date

Sunday, 25 March 2018 11:55pm E.Australian Standard Time

Reference: 504103