Associate Professor - ML, NLP & Social Media Analytics

NLP PEOPLE; New York (NY); On-site; USD 129,225 - 141,945; Full time

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

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.