Collaborative Requirement Learning

Generative Human-AI Collaborative Requirement Learning for Event Planning

Degree type

PhD

Closing date

1 April 2025

Campus

Hobart

Citizenship requirement

Domestic

Scholarship

$42,483pa for 3.5 years

About the research project

This project is part of the Next Generation Scholarship Program, Augmented Human Operations.

Event planning is often likened to sculpting a masterpiece, where the seamless integration of all components is vital. A critical task of event planning is to accurately acquire and understand requirements and feedback from human users, which form the foundation for aligning event services, designs, and logistics with the expectations, goals, and constraints of the users. However, traditional methods for gathering and interpreting requirements often rely heavily on human expertise and manual processes. While valuable, these approaches are inherently time-consuming, prone to errors, and limited by the cognitive and communication gaps between planners and stakeholders. Misinterpretations or incomplete requirement gathering can lead to inefficiencies, suboptimal planning outcomes, and unmet user expectations.

This project seeks to address these challenges by focusing on the design and development of a Generative AI-Based Requirement Learning System specifically tailored for event planning. By harnessing the transformative power of Large Language Models (LLMs), the proposed system will enable a more efficient, interactive, and accurate process for acquiring and formalising user requirements. Unlike traditional Human-Computer Interaction (HCI) methods, the LLM-based approach will empower the system to interpret and formalise vague, incomplete, or ambiguous requirements from users. It will facilitate a collaborative learning process between humans and AI, enabling the system to clarify and refine requirements dynamically while accounting for user preferences, constraints, and feedback.

Primary Supervisor

Meet Dr Quan Bai

Funding

The successful applicant will receive a scholarship which provides:

  • a living allowance stipend funded by the CSIRO's Next Generation Graduate Program (NGGP) and Healthy Shack TECH of $42,483 per annum (2025 rate, indexed annually) for 3.5 years
  • a tuition fees offset covering the cost of tuition fees for up to four years (domestic applicants only)

As part of the application process you may indicate if you do not wish to be considered for scholarship funding.

Additional funding

If successful, applicants will also receive a:

  • Top-up scholarship of $2,000, paid as a lump sum upon commencement of candidature
  • Top-up scholarship of $3,000, paid as a lump sum when confirmation of candidature has been completed
  • Training allowance of $5,000 per annum for 3 years, to be administered by the School
  • Travel allowance of $5,000, to be administered by the School

These scholarships and allowances are funded from the NGGP.

Other funding opportunities and fees

For further information regarding other scholarships on offer, and the various fees of undertaking a research degree, please visit Scholarships and fees.

Eligibility

Applicants should review the Higher Degree by Research minimum entry requirements.

Ensure your eligibility for the scholarship round by referring to our Key Dates.

Additional eligibility criteria specific to this project/scholarship:

  • Applicants must be able to undertake the project on-campus

The project will be funded from the NGGP program. To be eligible for a scholarship, applicants must be domestic students as per the Higher Education Support Act at the time of award. Domestic students include:

  • Australian citizens
  • Australian permanent residents
  • a person entitled to stay in Australia, or to enter and stay in Australia, without any limitation as to time
  • a New Zealand citizen.

Selection Criteria

The project is competitively assessed and awarded.  Selection is based on academic merit and suitability to the project as determined by the College.

Additional essential selection criteria specific to this project:

  • Strong expertise in AI, programming and web development.

Application process

  1. Select your project, and check that you meet the eligibility and selection criteria, including citizenship;
  2. Contact Dr Quan Bai to discuss your suitability and the project's requirements; and
  3. In your application:
    • Copy and paste the title of the project from this advertisement into your application. If you don’t correctly do this your application may be rejected.
    • Submit a signed supervisory support form, a CV including contact details of 2 referees and your project research proposal.
  4. Apply prior to 1 April 2025.

Full details of the application process can be found under the 'How to apply' section at Research degrees.

Following the closing date applications will be assessed within the College. Applicants should expect to receive notification of the outcome by email by the advertised outcome date.

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