33 power-electronics positions at Queensland University of Technology

Class Scheduling Specialist

client and stakeholder group across a range of mediums. Demonstrated digital literacy including the ability to use a large corporate computer system to input, access, extract and interpret data, as

Student Fees Officer

that contribute to client service excellence. Demonstrated ability and commitment to the provision of high-quality client-focused service in a fast-paced environment, including excellent written, verbal, and

Casual Student Success Partner (Orientation) (multiple positions available)

the ability to communicate clearly and effectively in-person and online and to be inclusive, empathetic and respectful in delivering services. Demonstrated experience working with students or others from

Data-driven power system stability and strength analysis (PhD scholarship)

have: a strong background in one of these areas: power system dynamic simulation and analysis grid integration of renewable energy sources power converter/inverter for renewable energy sources AI

Client Services Officer, Sport

to completion of an Associate Diploma level qualification with relevant work experience in a Sporting Facility. Demonstrated ability to provide quality customer service in a health and fitness customer-orientated

Client Services Officer

from culturally diverse backgrounds. Ability to work effectively in a team environment and independently. Proficient in the use of Microsoft Office and other relevant computer systems. Life at QUT We're

Research Administration Assistant

with various administrative activities, ideally within a research environment; Demonstrated general organisational skills including the ability to manage time and high volume tasks efficiently and meet

Lecturer/Senior Lecturer in Electrical Engineering (Aerospace and Control) School of Electrical Engineering and Robotics

data streaming in from cameras, devices, and sensors. Our expertise in Power Engineering, Renewable Energy Systems, Robotics, AI/Machine Learning, Computer Vision and Signal Processing allows us to

International Student Mobility Officer

. Demonstrated organisational skills, including the ability to prioritise competing tasks and deadlines. Demonstrated ability to use a large corporate computer system including inputting, accessing and extracting

Leveraging big data and AI/ML for smart transport solutions (PhD scholarship)

, with the ability to derive meaningful insights from complex datasets have excellent communication skills, both written and verbal, for presenting research findings and collaborating with