professor profile picture

Reza Haffari

Professor

Monash University Malaysia.

Country flag

Australia

Has open position

This profile is automatically generated from trusted academic sources.

Google Scholar

.

ORCID

.

LinkedIn

Social connections

How do I reach out?

Sign in for free to see their profile details and contact information.

Meet Kite AI

Contact this professor

LinkedIn
ORCID
Google Scholar

Research Interests

Statistics

20%

Artificial Intelligence

10%

Mathematics

20%

Network Analysis

20%

Machine Learning

20%

Computational Social Science

20%

Computer Science

20%

Ask ApplyKite AI

Start chatting
How can you help me contact this professor?
What are this professor's research interests?
How should I write an email to this professor?

Positions2

Publisher
source

Reza Haffari

University Name
.

Monash University

PhD Scholarship – AI Detection of Misogynistic Backlash Ecosystems

This interdisciplinary PhD scholarship at Monash University offers a unique opportunity to advance research at the intersection of artificial intelligence, social sciences, and gender studies. The project, 'AI Detection of Misogynistic Backlash Ecosystems,' aims to develop computational approaches for detecting and analysing misogynistic discourse and coordinated harassment across social media and online platforms. Leveraging natural language processing (NLP), large language models (LLMs), machine learning, and network analysis, the research will identify and examine extremist misogyny, anti-gender equality mobilisation, and violence-supportive narratives as they emerge and spread in digital environments. Key research questions include: How can AI systems reliably identify implicit and evolving forms of misogynistic discourse beyond explicit hate speech? What computational measures can be developed to detect misogyny, benevolent sexism, violence-supportive attitudes, and coordinated harassment at scale? How can benchmark datasets be constructed to support robust and explainable AI models for online safety research? How do misogynistic narratives and communities spread across platforms and respond to social and political events? The project is particularly suited to candidates with backgrounds in computer science, information technology, statistics, mathematics, computational linguistics, or data science. Experience in NLP, machine learning, LLMs, network analysis, social network analysis, computational social science, social media analytics, or large-scale text analysis is highly desirable. Applicants should demonstrate a strong interest in interdisciplinary research and a commitment to addressing complex social harms and insecurity. This PhD scholarship is based within the Faculties of Information Technology and Arts at Monash University, Australia's largest university and a global leader in research. The successful candidate will be housed within the Monash AI Institute (MAI) and the ARC Centre of Excellence for the Elimination of Violence Against Women (CEVAW), both renowned for their pioneering, data-driven, and impact-focused research. MAI is a premier hub for AI and data science, emphasising responsible, ethical, and human-centred AI, and fostering collaboration with industry, government, and international partners. CEVAW is the world’s first centre dedicated to tackling the full range of violence against women in Australia and the Indo-Pacific region, bringing together experts across legal, security, economic, health, and political systems. The project will be supported by a multidisciplinary supervisory team, including Professor Reza Haffari, Vice-Chancellor’s Distinguished Professors Jacqui True and Asher Flynn, Dr Trang Vu, and Dr Katie Buchhorn. Scholarship holders must be enrolled full-time and on campus. Applicants who already hold a PhD are not eligible. The scholarship provides a Research Living Allowance of $37,145AUD per annum (tax-free stipend, indexed) plus a CEVAW Top-up scholarship of $10,000AUD per annum (non-indexed), as well as allowances as per RTP stipend scholarship conditions. The expected enrolment date is by 1 March 2027, with preference for commencement in late 2026. The application deadline is 10 August 2026. To apply, candidates must first contact Dr Katie Buchhorn to discuss their interest and research proposal. Applications should include a cover letter, brief research proposal, CV, academic records, English language proficiency test results (if applicable), and contact details of two academic referees. After discussion, applications are submitted via the My.App portal, selecting 'Admission Only' and indicating the CEVAW PhD Scholarship. Applications submitted without prior contact with the lead supervisor may not be considered. For further information on eligibility and application requirements, visit the Monash University graduate research and scholarship policy pages. This opportunity supports a diverse workforce and aims to make a significant global impact in the elimination of violence against women.

New Today

Publisher
source

Katie Buchhorn

University Name
.

Monash University

PhD in AI Detection of Misogynistic Backlash Ecosystems (NLP, LLMs, Network Analysis)

Monash University is offering a PhD scholarship in AI Detection of Misogynistic Backlash Ecosystems , an interdisciplinary project at the intersection of computer science, information technology, linguistics, statistics, and social science . The project will investigate how natural language processing (NLP) , large language models (LLMs) , machine learning , and network analysis can be used to detect and analyse misogynistic backlash across social media and online platforms. Research themes include coordinated harassment, anti-gender equality mobilisation, extremist misogyny, violence-supportive discourse, benchmark dataset development, and explainable AI for online safety research. The scholarship is based within the Faculties of Information Technology and Arts at Monash University and is supported by the Monash AI Institute and the ARC Centre of Excellence for the Elimination of Violence Against Women (CEVAW) . The project is supervised by a multidisciplinary team including Professor Reza Haffari , Professor Jacqui True , Professor Asher Flynn , Dr Trang Vu , and Dr Katie Buchhorn . Funding: full-time scholarship for 3.5 years with a tax-free Research Living Allowance of AUD 37,145 per year plus an additional AUD 10,000 per year CEVAW top-up . Eligibility: applicants should have a background in computer science, IT, statistics, mathematics, computational linguistics, data science, or a related field. A strong interest in interdisciplinary research and experience with NLP, LLMs, machine learning, network analysis, social media analytics, or large-scale text analysis will be viewed favourably. The committee will prioritise applicants with an Australian or equivalent international Honours or Master’s degree with a significant research component and first-class honours/H1. Applicants must meet Monash PhD entry and English-language requirements and must not already hold a PhD. Deadline: 10 August 2026, 11:55pm AEST. Applicants must first contact Dr Katie Buchhorn before submitting an application via My.App.

New Today