Advanced Autonomy for Field Robots PhD Scholarship

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

Scholarship 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.

Applications are closed.

Before you apply

If this scholarship has rules, download and read them before applying.

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:

  1. Enter Dr Erkan Kayacan as your supervisor.
  2. Tick 'I am applying for, or have been awarded a scholarship or sponsorship'.
  3. Enter ‘AAFR' in the 'Name of scholarship' field.
  4. 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).
Applications are closed.

Contact

Dr Erkan Kayacan
(07) 3365 4673
Applications are closed.

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.

Applications are closed.