32 statistics-phd positions at University of Sydney

Postdoctoral Research Associate in Deep Learning Theory

2-year, Full time fixed term position. Located at the School of Mathematics and Statistics, Camperdown Campus Opportunity to contribute to research for Deep Learning Theory at the University

Lecturer/Senior Lecturer in Statistical / Mathematical Data Science

see the importance of recruiting talent aligned to these values and are looking for a Lecturer/Senior Lecturers in Statistical/Mathematical Data Science who has: a PhD (or near completion) in Data

Post-Doctoral Research Fellow

-reviewed journals, presentations at conferences, and engagement with stakeholders and policymakers About you PhD in epidemiology, public health, implementation science, or related field. strong background in

Postdoctoral Research Associate

proposals aid in consenting and biobanking of specimens from cancer patients. About you a PhD in Medical Sciences, Analytical Chemistry, or other related discipline demonstrated skills in mass spectrometry

Postdoctoral Research Associate (Spatial Agricultural Modelling)

and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for a Postdoctoral Research Associate (Spatial Agricultural Modelling) who has: a PhD (or near

Applied Statisticians (Lecturer / Associate Lecturer)

or biomedical data science consulting experience teaching applied statistical methods to undergraduate and/or postgraduate students ability to assist researchers from other disciplines as well as work with PhD

Lecturer in Data Science

Full Time Fixed Term Contract until 2027-Level B academic opportunity. Located on the Camperdown Campus at the School of Mathematics and Statistics Join a world-class community of mathematicians and

Program / Project Officer

with preparation of Ethics Committee and governance applications as required assist with collection of research data, enter/store in appropriate statistical software, and prepares statistical analysis

Postdoctoral Researcher in Theoretical Computer Science/Algorithms

Machine Learning”). Working closely with Dr. Clement Canonne and his team, the successful candidate will develop and analyse new differentially private algorithms for distributed statistical inference, and

Bioinformatic Postdoc

to lead RNA-based data and associated statistical analytics, disseminate their findings via both publication and presentation to the research community, work independently and within a larger multi-omic and