Machine Learning Systems Engineer

All vacancies of AustraliaEducation & TrainingMachine Learning Systems Engineer

A machine learning systems engineer is required to work as part of a research team to support research conducted in the School’s Smart Machines Group

Summary about this job

Other

Company: University of Queensland

Location: Brisbane

Work type: Full Time

Salary: $74,207 - $81,691 p.a. plus up to 17% Super

Phone: +61-7-4067-6749

Fax: +61-2-5803-5720

E-mail: n\a

Site:

Detail information about job Machine Learning Systems Engineer. Terms and conditions vacancy

School of Mechanical and Mining Engineering

With an excellent reputation for quality graduate training and research performance, the School of Mechanical and Mining Engineering delivers a comprehensive range of programs in aerospace, materials, mechanical, mechatronic and mining engineering.

Boasting strong student enrollments in professionally accredited programs, combined with world-class researchers and facilities, we are focused on strengthening our position in the engineering community. We will develop global solutions to contemporary issues and mentor the leaders of tomorrow by attracting the brightest minds and fostering a truly innovative and collaborative work environment.

The School recognises and values equity and diversity, and encourages applications from any individual who meets the requirements of this position, regardless of gender, sexuality, race, ethnicity, religion, disability, age or other protected attributes. The School strives to provide an inclusive working environment, and along with the University, is committed to supporting staff with family and caring responsibilities by providing policies, programs and initiatives to help balance work and family responsibilities.

For more information about the School, please visit: http://www.mechmining.uq.edu.au/

The role

The successful appointee will engage in independent and team research in data modelling and machine learning associated with hyperspectral imaging and will play a key role in driving improvements in research quality and delivery of projects.

The person

Applicants should possess a bachelor degree in computer science or mechatronic, mechanical, electrical, or software engineering with at least two years’ experience. You should have demonstrated expert knowledge in software development and demonstrated experience in C++ programming.

An ability to develop effective professional relationships, to communicate effectively and work collaboratively is also essential.  Other requirements are listed in the selection criteria.

The University of Queensland values diversity and inclusion and actively encourages applications from those who bring diversity to the University. Please refer to the University’s Diversity and Inclusion webpage (https://staff.uq.edu.au/information-and-services/human-resources/diversity) for further information and points of contact if you require additional support.  

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

Accessibility requirements and/or adjustments can be directed to the contact person listed in the job advertisement.

Remuneration

This is a full-time, fixed term appointment for 12 months years at HEW level 6. The remuneration package will be in the range $74,207 - $81,691 p.a., plus employer superannuation contributions of up to 17% (total package will be in the range of $86,822 - $95,579p.a.).

Position Description

 504731_3042636_Machine Learning Systems Engineer PD.pdf

Enquiries

To discuss this role please contact Professor McAree at [email protected]

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.

Applications Close

22 July 2018, 11:55 PM (AEST)

Responds for Machine Learning Systems Engineer on FaceBook

Read all comments for Machine Learning Systems Engineer. Leave a respond Machine Learning Systems Engineer in social networks. Machine Learning Systems Engineer on Facebook, LinkedIn and Google+