Postdoctoral Research Associate in Mathematics for Trustworthy AI – University of Sydney
Closes 13 October.
- Full time, 2 years fixed term. Located at the School of Mathematics and Statistics, Camperdown Campus
- Opportunity to contribute to research in mathematics for trustworthy AI at the University of Sydney
- Base Salary Level A, $105,314 – $116,679 p.a. + 17% superannuation
More info/apply: https://usyd.wd3.myworkdayjobs.com/en-US/USYD_EXTERNAL_CAREER_SITE/job/Postdoctoral-Research-Associate-in-Mathematics-for-Trustworthy-AI_0119412-1
Details about the job:
The School of Mathematics and Statistics at the University of Sydney is currently seeking a Postdoctoral Research Associate in Mathematics for Trustworthy AI to work on stochastic optimisation and statistical theory for deep representation learning, fair machine learning, privacy-preserving learning, multi-objective learning, and AI Safety. There will be potential opportunities to visit the IBM research center in Yorktown heights New York, to conduct collaborative research related to trustworthy AI.
Your key responsibilities will be to:
- design efficient stochastic optimisation algorithms for trustworthy machine learning, deep representation learning, multi-objective learning, and AI Safety
- work on statistical generalization theory for optimisation algorithms and the intricate interaction between statistics, computational optimization, and trustworthy elements (e.g., –fairness, differential privacy, and robustness)
- conduct extensive experimental validation of the developed learning algorithms and carry out industrial applications
- contribute to external engagement and academic communications.
About you
The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for a Postdoctoral Research Associate in Mathematics for Trustworthy AI who has:
- a PHD (or near completion) in mathematics, applied mathematics, data science, statistics, or a related area
- an excellent track record of publishing high-quality papers on machine/deep learning, machine learning theory or optimisation in top-tier venues
- research experience in machine learning and related areas
- a solid mathematics background
- good programming skills
- good communication skills.