PhD Opportunity in AI: Monash University is offering a prestigious scholarship for an outstanding PhD candidate in the field of social sciences with a focus on Artificial Intelligence (AI) and inclusive energy futures. The candidate will join a world-leading research team to explore the intersection of AI and energy sustainability.
Social Science PhD Opportunity in Artificial Intelligence for Clean Energy and Sustainability
Designation:
PhD Candidate
| Details | Information |
|---|---|
| Opportunity | Social Science PhD in AI for Clean Energy and Sustainability |
| Employment Type | Full-time |
| Duration | Up to 3.5 years (full-time) |
| Remuneration | $42,483 AUD per annum + additional allowances (totaling up to $15,840 over 3 years) |
| Location | Caulfield campus, Melbourne CBD |
| Last Date for Application | Saturday, 30 November 2024, 11:55pm AEDT |
Research Area:
- Artificial Intelligence
- Energy Sustainability
- Social Sciences (Sociology, Anthropology, Human Geography)
Location:
- Caulfield campus, Melbourne CBD, Australia
Eligibility/Qualification:
- Must be a domestic student (Australian citizens, Australian Permanent Residents, New Zealand Citizens).
- Undergraduate or postgraduate qualification in qualitative social science (sociology, anthropology, human geography, or relevant fields).
- Experience in ethnographic research is essential.
Description:
This PhD project aims to investigate how AI can enhance energy systems and improve user experiences for diverse Australian households. Research will focus on understanding how AI technologies can align with people’s everyday priorities to support a sustainable energy transition. The project will explore research questions such as:
- How AI systems can provide value by supporting flexible energy management.
- Ethical protocols to ensure trust in AI energy systems.
- Strategies to enhance participation and consumer engagement in AI-supported energy decisions.
Supervised by Professors Yolande Strengers and Sarah Pink, candidates will be part of Monash’s innovative Energy Futures team, which is connected to the Energy Institute and multiple faculties.
How to Apply:
- Expression of Interest (EOI): Submit to the Faculty of Information Technology Graduate Research Office via email (fit-graduate.research@monash.edu).
- Include:
- CV (including a list of publications, if applicable)
- Academic transcripts
- Cover letter
- Draft research proposal (up to 5 pages) addressing one or more of the specified research questions.
Candidates moving forward will be invited for discussion with Professor Sarah Pink prior to developing a full application.
Last Date for Apply:
- Saturday, 30 November 2024, 11:55pm AEDT
Opportunity for a transformative research experience awaits!
