Summary
| Enrolment status | New students |
|---|---|
| Student type | Domestic students |
| Level of study | Higher Degree by Research |
| Study area | Engineering and Computing |
| HDR funding type | Living stipend scholarship |
| Scholarship value | $27,596 per annum tax-free (2019 rate), indexed annually |
| Scholarship duration | 3 years with the possibility of two 6-month extensions in approved circumstances |
| Opening date | 13 June 2019 |
| Closing date | 21 July 2019 |
Description
Nowadays, the complexity of robotic systems design has increased enormously due to human beings' desire for a higher level of intelligence and autonomy. Additionally, these developed systems must be capable of autonomously adapting to variations in their operating environments, while maintaining their overall objective to accomplish tasks, even in highly uncertain and unstructured environments.
Such robotic systems must display the ability to learn from experience, adapt themselves to the changing environment and seamlessly integrate information to and from humans.
We are looking for a qualified and enthusiastic PhD student who wishes to investigate embedded guidance, control and navigation algorithms for autonomous robots (e.g., model predictive control, adaptive control, concurrent learning, etc.). The doctoral student will work at the intersection of robotics and automatic control.
Eligibility
To be eligible, you must meet the entry requirements for a higher degree by research.
Before you get started
If this scholarship has rules, download and read them.
How to apply
Apply for this scholarship when you submit a PhD application.
Before submitting a PhD application you should:
- check your eligibility
- prepare your documentation and
- contact Dr Erkan Kayacan (e.kayacan@uq.edu.au) to discuss your suitability for this scholarship.
Applications should contain the following documents:
- A detailed curriculum vitae
- A motivation letter, including a brief description of past experience
- Copies of diploma and transcripts of bachelor and master degrees.
- At least 3 references available to contact.
When you apply, make sure that you:
- Enter Dr Erkan Kayacan as your supervisor.
- Tick 'I am applying for, or have been awarded a scholarship or sponsorship'.
- Enter ‘AAFR' in the 'Name of scholarship' field.
- Enter 'School of Mechanical & Mining Engineering' as the 'Sponsor / organisation'.
Learn more about applying for a higher degree by research at UQ
Selection criteria
Required:
- Hold a master's degree in mechanical, mechatronics, electrical engineering or related fields
- Strong background on control theory.
Preferred:
- Hands-on experience on robotic systems
- Experience in Robot Operating System (ROS)
- Concrete knowledge in C/C++
- Demonstration of research activities (conference or journal papers).
Terms and conditions
Read the policy on UQ Research Scholarships.
A domestic part-time student with carer’s responsibilities, a medical condition or a disability, which prevents them from studying full time may be eligible for scholarship consideration, on a case by case basis.