Postdoctoral Research Fellowship in Fairness and Machine Learning
Are you a highly motivated PhD graduate seeking to advance your career in machine learning research? This exciting 3-year postdoctoral role offers an exceptional opportunity to collaborate with leading experts in the field.
The project focuses on addressing biases in machine learning algorithms, specifically those impacting high-stake decisions such as credit scoring and judicial sentencing. While significant progress has been made in fairness research, understanding how various bias sources combine to create overall bias remains limited.
Key Responsibilities
* Conduct cutting-edge research in machine learning fairness and algorithmic bias
* Develop innovative techniques to disentangle ML bias into algorithmic and data bias
* Collaborate with interdisciplinary teams to apply developed methods to analyze biases in human-centric applications
Requirements
A PhD in machine learning, computer science, statistics, or applied mathematics is essential for this role. Relevant postdoctoral experience and a strong publication record are highly valued.
Benefits
* Competitive salary: AU$92k – AU$101k
* Up to 15.4% superannuation
* Opportunities to travel and collaborate with national and international research teams
Additional Details
* Location: Clayton, Victoria, with opportunities to work remotely
* Flexible working arrangements to support work-life balance