Research Fellow in Temporal Analytics Full-time

Research Fellow in Temporal Analytics

We are seeking a talented and motivated Research Fellow to join the Department of Data Science and Artificial Intelligence (DSAI) and contribute to Professor Geoff Webb's Australian Laureate Fellowship research project Temporal Analytics for a Complex, Dynamic and Ever-Changing World. You will be responsible for developing new temporal analysis methods, implementing software that embodies those methods, evaluating those methods, writing academic papers, applying for research grants and supervising research students and staff.

The Research Fellow will develop temporal analysis algorithms and techniques and design, implement, test, and maintain software/tools embodying those methods. You will prepare and submit grant proposals to external funding bodies. This position will also evaluate methods via experiments, benchmarking, simulation and/or real-world data.

The successful candidate will have:

• A PhD in Statistics, Data Science, Computer Science, Mathematics, or a related field with strong emphasis on temporal analytics, such as time series classification, or a closely related area
• Evidence of impactful research with published outputs in peer-reviewed journals
• Experience in software development (prototyping / production) implementing novel analytical methods
• Skills in evaluating and benchmarking methods: designing experiments, handling and analysing large and complex datasets
• Experience of writing successful grant applications (or clear potential to do so)
• Experience of supervising or mentoring research staff or students (or clear potential to do so)
• Strong communication skills (written and verbal), ability to collaborate effectively.

If you would like to be part of an impactful cutting-edge research project focused on solving pressing challenges of modeling temporal dynamics in complex systems then apply today!