• Employment Type: Full Time 35 hours per week; 2 X Positions available
• Duration: 12 months
• Remuneration: Level 6 Professional ($100 K- $107 K) - based on experience+ 17% Super and leave loading
• Location: Kensington, NSW

To be successful you will hold Australian Working Rights or Australian Citizenship. Visa sponsorship is not available for this appointment.

About The Kirby Institute:

The Kirby Institute is a world-leading health research institute at UNSW Sydney. We work to eliminate infectious diseases, globally. Our specialisation is in developing health solutions for the most at-risk communities. Putting communities at the heart of our research, we develop tests, treatments, cures and prevention strategies that have the greatest chance of success.

Why Your Role Matters:

The Project Officer (Large Language Model engineer) will assist in Natural Language Processing, prompt engineering, building large language models (LLM) and evaluation of output from infectious diseases-related LLMs. This will involve iterative application of prompt engineering, testing and training techniques as applied to LLMs (e.g. GPT-4) based on systematic evaluation of data collected from social media.

Areas of evaluation will include broad areas of health-related sentiment analysis, health-related disinformation, textual entailment, and information extraction.

This position reports to GIS Engineer within the Biosecurity Program and has no direct reports.

Skills and Experience:

• A university degree in computer science, software engineering, machine learning or Natural Language Processing (NLP) with subsequent relevant experience or equivalent competence in NLP or large language models (LLM) gained through any combination of education, training and experience.
• Minimum 12 months full time experience with Large Language Model (LLM) such as GPT4, specifically in terms of data extraction, advanced prompt engineering techniques, data classification, model fine-tuning, testing and training.
• Proven experience with natural language processing and entity recognition including empirical evaluation.
• Demonstrated experience in collecting textual health-related data from social media API endpoints for platforms such as X, Telegram and Reddit, and evaluating, classifying, interpreting, and synthesising the data using large language models. Experience working with health-related data, especially vaccines and infectious diseases, desirable but not essential.
• Experience in agile development, daily sprints and use of version control systems such as Git.
• Experience working with Microsoft Azure cloud environment preferred, but other cloud experience such as AWS or Oracle also acceptable.
• Demonstrated superior interpersonal communication skills to initiate and maintain effective stakeholder relationships whilst exercising discretion and confidentiality.
• Excellent time management skills, with a demonstrated ability to respond to changing priorities, manage multiple tasks and meet competing deadlines by using judgement and initiative.
• Excellent written and verbal communication skills, with a high level of attention to detail and the ability to liaise effectively with a range of stakeholders.
• An understanding of and commitment to UNSW’s aims, objectives and values in action, together with relevant policies and guidelines.
• Knowledge of health & safety (psychosocial and physical) responsibilities and commitment to attending relevant health and safety training.

Benefits and Culture:

UNSW offer a competitive salary and access to a plethora of UNSW-perks including:

• 17% Superannuation and leave loading
• Flexible working
• Additional 3 days of leave over the Christmas Period
• Access to lifelong learning and career development
• Progressive HR practices

More information on the great staff benefits and culture can be found here

How to Apply:

To be considered for this role, your application must include a document addressing the Selection Criteria which are outlined in the “Skills and Experience” section of the position description). Applications that do not address these selection criteria will not be considered

Please click Apply now to submit your application online. Applications submitted via email will not be accepted.

Submit your application online before Tuesday 22nd April at 11:30pm.

Get in Touch (for job related queries only – applications will not be accepted if sent to the contact listed):

Aarti: Talent Acquisition Coordinator

E: a.aarti@unsw.edu.au

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.

The University reserves the right not to proceed with any appointment.