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

Overview

This Job is based in Australia

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

• Salary, Level D – AUD $185,917 to $204,218 per annum + 17% superannuation
• Full-time
• 2-Year Convertible Tenure Track or continuing appointment
• Location:
  
  Kensington – Sydney, Australia

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.

You are an established academic with a strong and sustained track record of high-impact research in Artificial Intelligence and Natural Language Processing, and a growing national or international reputation in your field. You bring expertise in areas such as large language models, social media analytics, model alignment, and interpretability, with an interest in applying these to real-world challenges in online information ecosystems and demonstrate the ability to translate research into real-world impact.

With a proven ability to secure competitive research funding, lead research initiatives, and supervise higher degree research students to successful completion, you are also an engaging and effective educator, with experience delivering high-quality teaching and contributing to curriculum development.

As a senior academic, you will demonstrate clear leadership within your discipline, including contributing to strategic initiatives, academic governance, or program development. You are collaborative, forward-thinking, and motivated to build strong partnerships across academia and industry.

UNSW is a world‑leading institution recognised for its scale, prestige, and impact. With strong industry engagement and partnerships across sectors, UNSW provides a unique environment where academic expertise translates into real‑world outcomes. The university is home to cutting‑edge research that drives innovation and societal progress, while its excellence in teaching ensures students are prepared to lead in their fields. For academics, UNSW offers an outstanding platform to flourish — combining world‑class facilities, collaborative networks, and a culture of innovation that supports both career growth and meaningful contributions to the wider community.

The School of Computer Science and Engineering is one of the largest and most prestigious schools of computing in Australia. It offers undergraduate programmes in Software Engineering, Computer Engineering, Computer Science, and Bioinformatics, as well as a number of combined degrees with other disciplines. Our research and teaching staff are world leading and world building as they advance knowledge and learning.

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