About This Opportunity

We are excited to invite applications for a Postdoctoral Research Fellow (Academic Level A) or Research Fellow (Academic Level B) to join our dynamic AI in Healthcare team, part of the cutting-edge Health research program (HERA). In this position, you will advance your expertise and build a strong emerging research profile in Information Retrieval, Natural Language Processing and Large Language Models, with a focus on transformative applications in the healthcare domain.

At UQ you will be challenged, inspired and rewarded working alongside like-minded people with a culture of collaboration and excellence and a shared vision to create change. While creating change is our shared goal, we encourage you to take the opportunities to grow professionally, advance your career, find your next challenge and embrace change at a personal level.

Key responsibilities will include:

• Research: Produce quality research consistent with discipline norms by publishing or exhibiting in high quality outlets, e.g., ACM SIGIR, WSDM, WebConf, EMNLP, ACL, AMIA, establish a research program, collaborate on research projects, seek and manage research funding, publish in reputable journals, utilize best practice research methodologies, and participate in project discussions.
• Supervision and Researcher Development: Supervise students, recruit and manage employees, provide performance feedback and training, resolve conflicts, and ensure correct remuneration and benefits.
• Citizenship and Service: Develop partnerships, demonstrate leadership through mentoring, engage in internal service roles and committees, perform administrative functions, provide support to colleagues, and uphold university values.

This is a research-focused position. Further information can be found by viewing UQ’s Criteria for Academic Performance.

About You

• Completion (level A and B) or near completion (level A) of a PhD in the field of Information Retrieval, Natural Language Processing, or Machine Learning on Textual Data.
• Demonstrated expert knowledge and experience in relevant empirical research methods, including Information Retrieval, Large Language Models, question answering, answer generation and ranking, abstractive summarisation, interactive Information Retrieval, intent understanding, user-based evaluation (evaluation of Information Retrieval systems with users).
• Demonstrated publication record in quality research outlets in relevant fields; examples include ACM SIGIR, ACM WSDM, The Web Conf, ACL, NAACL-HLT, EMNLP, AAAI, ACM TOIS, ACM TIST, TACL.
• Excellent written and verbal communication skills, as demonstrated by e.g., invited talks/seminars and lectures, presentations at conferences, communication to non-technical audiences.
• Software engineering expertise, including implementation of Large Language Models methods (including execution on clusters and high-performance computing infrastructure), Information Retrieval methods, Machine Learning algorithms, wrangling large-scale datasets, and showcasing the research results.
• The ability to work both independently in a research environment and as part of a research team.
• High level organizational skills, with demonstrated capacity to establish and achieve goals.

Additional for Level B:

• Evidence of identification of research problems, opportunities and solutions that are creative and non-standard.
• Experience in supervising research students (e.g., PhD, Mphil, Honors).
• Ability to build smooth liaisons and professional contact with academic and industrial collaborators.
• The ability to work part of a high-achieving, cross-disciplinary research team.

The successful candidate may be required to complete a number of pre-employment checks, including: right to work in Australia, education check.

Relocating from interstate or overseas? We may support you with obtaining employer-sponsored work rights and a relocation support package. You can find out more about life in Australia’s Sunshine State here.

Want to Apply?

All applicants must upload the following documents in order for your application to be considered:

• Resume
• Cover letter
• Responses to the ‘About You’ section