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

NLP PEOPLE

New York (NY)

On-site

USD 129,225 - 141,945

Full time

14 days+
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Job summary

UNSW invites applications for an Associate Professor in Machine Learning and Natural Language Processing (Social Media Analytics). Location: Sydney, Australia.

The role offers a 2-year convertible tenure track or continuing appointment with a competitive salary and 17% superannuation. Responsibilities include leading high‑impact AI/NLP research, shaping education strategy, mentoring researchers, teaching, and building industry partnerships.

Qualifications

  • PhD in a related discipline with a strong, sustained track record.
  • Experience delivering high‑quality teaching and curriculum development.
  • Proven ability to secure competitive research funding and lead initiatives.
  • Expertise in AI, NLP, and large language models.
  • Strong interpersonal and organisational skills with a commitment to equity and inclusion.

Responsibilities

  • Drive high‑impact research with national and international visibility in AI/NLP and social media analytics.
  • Shape strategic direction of AI/NLP education and research.
  • Lead programs, mentor researchers, and contribute to governance and collaboration.
  • Supervise higher degree research students to completion.
  • Deliver teaching and contribute to curriculum development.
  • Build partnerships across academia and industry.
  • Demonstrate leadership in curriculum development and program initiatives.

Skills

Large language models
Social media analytics
Research leadership
Curriculum development
Teaching experience
Interdisciplinary collaboration

Education

PhD in a related discipline
Postgraduate teaching experience

Job description

Job Overview

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

Location: Sydney, NSW (Kensington – Sydney, Australia)

Work type: Full Time

Salary, Level D – AUD $185,917 to $204,218 per annum + 17% superannuation

Tenure: 2-Year Convertible Tenure Track or continuing appointment

Responsibilities
  • 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.
  • Contribute to and shape the strategic direction of research and education in Artificial Intelligence and Natural Language Processing.
  • Lead innovative programs, mentor emerging researchers, and contribute to institutional strategy, governance, and interdisciplinary collaboration.
  • Mentor and supervise higher degree research students to successful completion.
  • Deliver high-quality teaching and contribute to curriculum development.
  • Build strong partnerships across academia and industry.
  • Demonstrate clear leadership within the discipline, including contributing to strategic initiatives, academic governance, or program development.
Qualifications
  • PhD in a related discipline and/or relevant work experience.
  • Established academic with a strong, sustained track record of high-impact research in Artificial Intelligence and Natural Language Processing.
  • Growing national or international reputation in the field.
  • Expertise in large language models, social media analytics, model alignment, interpretability, and real-world impact of AI/NLP.
  • Proven ability to secure competitive research funding and lead research initiatives.
  • Experience delivering high-quality teaching and curriculum development at undergraduate and postgraduate levels.
  • Experience with educational technologies and online delivery methods.
  • Excellent record of recruiting and supervising high‑calibre students.
  • Demonstrated success in curriculum development and improvement.
  • Strong interpersonal and organisational skills.
  • Commitment to student equity, diversity, and inclusion.
  • Track record in research leadership with high‑quality, high‑impact outcomes.
  • Understanding of UNSW’s aims, objectives, and values, and relevant policies and guidelines.
  • Knowledge of health and safety responsibilities and commitment to relevant training.
Employment Requirements
  • National and International Criminal History Checks
  • Entitlement to work and ID checks
  • Working With Children Checks
  • Completion of a Gender‑Based Violence Prevention Declaration
  • Verification of relevant qualifications
  • Verification of relevant professional membership
  • Employment history and reference checks
  • Financial responsibility assessments/checks
  • Medical Checks and Assessments
EEO Statement

UNSW is committed to evolving a culture that embraces equity and supports a diverse and inclusive community where everyone can participate fairly, in a safe and respectful environment. We welcome candidates from all backgrounds and encourage applications from people of diverse gender, sexual orientation, cultural and linguistic backgrounds, Aboriginal and Torres Strait Islander background, people with disability and those with caring and family responsibilities. UNSW provides workplace adjustments for people with disability, and access to flexible work options for eligible staff.

Application Closing

Applications close: 11:50 pm (Sydney time) on Sunday, 26 July 2026

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