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Associate Professor in Machine Learning and Natural Language Processing (Social Media Analytics)

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University of New South Wales

Sydney, NSW

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Associate Professor in Machine Learning and Natural Language Processing (Social Media Analytics)

Associate Professor

2026-07-26

Location

Sydney, NSW

UNSW

Type

Teaching and Research

Required Qualifications

PhD in Computer Science or related field
Expertise in machine learning and NLP
Research in large language models and social media analytics
Track record of high-impact publications
Experience mentoring researchers and industry engagement

Research Areas

Machine Learning
Natural Language Processing
Social Media Analytics
Large Language Models
AI Ethics
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Associate Professor in Machine Learning and Natural Language Processing (Social Media Analytics)

The Opportunity

Join the School of Computer Science and Engineering in the Faculty of Engineering at UNSW as an Associate Professor in a Teaching and Research role. As an Associate Professor, you will be a senior academic leader at one of Australia’s premier computer science schools, contributing to and shaping the strategic direction of research and education in Artificial Intelligence and Natural Language Processing. You will drive high-impact research with national and international visibility across areas such as large language models, social media analytics, and the application of AI and NLP to understanding and improving online information ecosystems, including social media platforms and digital communication environments, while playing a key role in advancing the School’s research profile, industry engagement, and educational excellence.

With established strengths in machine learning, large language models, data science, cybersecurity, and distributed systems, UNSW offers an exceptional environment for ambitious academics who are ready to lead innovative programs, mentor emerging researchers, and contribute to institutional strategy, governance, and interdisciplinary collaboration. You will help advance the future of intelligent, trustworthy, and responsible AI systems.

This is an opportunity to join a global leader in Computer Science, with cutting-edge facilities, world-class faculty, and an innovative research environment. With strong industry partnerships and a commitment to sustainability, UNSW provides unparalleled opportunities for leadership, collaboration, and impact.

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Frequently Asked Questions

🎓What qualifications are required for this Associate Professor role?

A PhD in Computer Science or a closely related field is essential. Candidates need proven expertise in machine learning and natural language processing, with a strong research focus on social media analytics and large language models. A track record of high-impact publications, grant success, and mentoring emerging researchers is expected. See our guide on how to write a winning academic CV.

📝What is the application deadline and process for this UNSW position?

Applications close on 26 July 2026. Submit via the UNSW careers portal with a CV, cover letter, research statement, and teaching philosophy. Highlight experience in NLP and social media analytics. For tips, review academic CV advice and university lecturer career paths.

🔬What research focus is expected in this Machine Learning and NLP role?

The role emphasizes high-impact research in large language models, social media analytics, and AI applications for online information ecosystems. Candidates should drive national and international visibility while advancing trustworthy AI. Explore related opportunities in postdoctoral success.

🌍Does this UNSW Associate Professor position offer visa sponsorship?

Visa sponsorship is not specified in the posting. International applicants should confirm directly with UNSW HR. For relocation advice, check lecturer career guidance.

📚What is the teaching and research balance in this role?

This is a Teaching and Research position at UNSW's School of Computer Science and Engineering. Expect leadership in both high-quality teaching and strategic research in AI and NLP. Review research assistant excellence for preparation.
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