Komatsu Engineering Work Integrated Learning Scholarship for Women
2018 Komatsu Engineering Work Integrated Learning Scholarship for Women
Work Integrated Learning
Komatsu Mining Corporation is a world leader in mining machinery and services. To improve the diversity of our engineering team based at Wollongong University's Innovation Campus, Komatsu are seeking exceptional female students from the Faculty of Engineering and Information Sciences for the exciting opportunity to complete a Work Integrated Learning scholarship in 2018.
Female students, with an interest in any of the engineering topics listed below are encouraged to apply;
- Machinery automation;
- Robotics, including kinematics, motion control, localisation, and navigation;
- Closed-loop Control Systems including modern and classical control theory;
- Machine Learning and Artificial Intelligence;
- Big Data and Industrial Internet of Things;
- System identification and modelling of mechanical systems; and
- Hydraulic control systems.
Open from 11/Jan/2018 to 29/Apr/2018
Value
$7,000 per annum
Duration
One (1) year
Level of Enrolment
Second Year, Third Year
Graduate Type
Undergraduate
Number Available
Two (2)
Year of Scholarship
2018
Degree
Any undergraduate degree course offered by the Faculty of Engineering and Information Sciences
Offer Type
Scholarship
Category
C
Broad Study Area
Engineering
Faculty
Faculty of Engineering and Information Sciences
Application Criteria
Applicants must remain enrolled as a full-time student as the University of Wollongong for the duration of this scholarship;
Applicants must be enrolled in any undergraduate degree course offered by the Faculty of Engineering and Information Sciences;
Applicants must be available for 7 weeks work experience at the end of the year;
Applicants must be female, with a demonstrated interest in one or more of the following areas: Machinery automation; Robotics, including kinematics, motion control, localisation, and navigation; Closed-loop Control Systems including modern and classical control theory; Machine Learning and Artificial Intelligence; Big Data and Industrial Internet of Things; System identification and modelling of mechanical systems; and Hydraulic control systems;
Applicants must be an Australian Citizen or Australian Permanent Resident.