NAL is a world leader in hearing research and evidence-based innovation to improve hearing health and transform the lives of people with hearing difficulties. NAL collaborates with organisations around the world to innovate on novel solutions to hearing health services and technology, conducts sophisticated validation trials on treatment benefit, and provides insight into the needs of people with hearing loss and clinicians who treat them. NAL’s research findings are published in leading peer-reviewed journals and its innovations are used worldwide. NAL is the research division of Hearing Australia.

NAL is looking for an enthusiastic and innovative Research Engineer to play a key role in driving our world-leading research and development focussed on transforming the lives of people with hearing loss.

Your role will encompass a blend of research, data analysis, and development of machine-learning models, ensuring the integrity and efficacy of our solutions. Your expertise and innovative thinking will play a crucial role in advancing our research efforts and making a difference in the lives of those affected by hearing loss.

This position offers the opportunity to contribute to groundbreaking work in the field of hearing health, leveraging machine learning to create impactful solutions. As part of our dynamic machine learning and AI team, within the Signal Processing department, you will be instrumental in developing innovative solutions for individuals with hearing loss, and in extracting insights from our clinical data warehouse.

This is a fixed term position of 2 years.

Key Responsibility Areas:

• Machine Learning Model Development: Design and develop advanced machine learning models to analyse audiological data and improve diagnostic accuracy for hearing loss.
• Develop Innovative Solutions: Prototype and test new algorithms and approaches for hearing aids and diagnostic tools. Collaborate with audiologists and end users to understand clinical needs and integrate their feedback into the development of AI solutions.
• Data Analysis and Insight Generation: Conduct comprehensive data analyses to extract actionable insights from clinical and audiological data sets.
• Collaborate on Multidisciplinary Projects: Work alongside other technical and clinical experts to integrate machine learning solutions into broader research and product development initiatives.
• Stay updated with the latest advancements in machine learning and audiology, continuously enhancing skills and knowledge in these areas.

The ideal candidate will possess:

• Bachelor’s degree in engineering, computer science, data science, or related discipline.
• At least 3 years research or industry experience
• Track record of peer-reviewed publications and/or independent or collaborative research
• Experience in conducting research and managing projects.
• Master’s degree or PhD  - Highly desirable
• Proficiency in Python, Matlab, or R
• Strong foundation in machine learning algorithms and principles
• Experience in developing, training, and deploying machine learning models
• Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch)
• Expertise in audio signal processing  - Highly desirable
• Expertise in natural language processing or large-language models - Highly desirable
• Familiarity with hearing health and audiology – Highly Desirable

If you possess these skills & want to work for a world leader in hearing research, please apply now.

We will require the successful candidate to be willing to have a Police Check conducted (we pay) and must have rights to work in Australia. 

Why work for Hearing Australia?

Hearing Australia provides world leading research and hearing services for the wellbeing of all Australians. We put our clients and people at the heart of everything we do. Helping thousands of Australians across the nation every day to rediscover the sounds they love. When you change lives, it's more than just a job.