Postdoctoral Research Fellow in Machine Learning
The School of Information Technology and Electrical Engineering
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.
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.
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.).
To discuss this role please contact Professor Amin Abbosh on +61 7 3365 8356 or email@example.com
To submit an application for this role, use the Apply button below. All applicants must supply the following documents: Cover letter, Resume and Selection Criteria responses.
For information on completing the application process click here.
Application Closing Date
Sunday 25 March 2018 11:55pm E.Australian Standard Time