PhD in computer or data science position in Australia

The Melbourne School of Population and Global Health (MSPGH) stands as a beacon of excellence in public health, driving impactful change both locally and globally since its establishment in 2001. With a commitment to advancing health equity and Indigenous wellbeing, MSPGH attracts top-tier researchers and students, fostering a dynamic environment of innovation and collaboration. From pioneering research published in prestigious journals to extensive international partnerships, MSPGH is at the forefront of shaping the future of public health education, research, and practice.

Duties of the position

The appointee will be expected to build, maintain and run proportional multistate lifetable simulation models in Python; build, maintain and run other simulation models (e.g. Markov, agent-based) in Python, RUST and other computing languages; validate and calibrate simulation models and analyse already collected data to generate inputs to simulation models (e.g. regression analyses on survey data).

Required selection criteria

Applicants should possess a PhD or near completion of PhD in computer or data science (or closely related discipline (e.g. mathematics), with a strong ability to rapidly upskill in computer simulation modelling); proven ability to work independently and collaboratively in a team to achieve project goals and meet deadlines; experience using at least one statistical and/or programming language (e.g. R, STATA, Python) and experience using Microsoft Excel.

Benefits 

The selected candidate will be offered the opportunity to be part of a vibrant community and enjoy a range of benefits, including generous leave provisions, salary packaging, health and well-being services and discounts on graduate courses.

Organisation/Company – UNIVERSITY OF MELBOURNE

Research Field –

Researcher Profile –

Country – Australia

Application Deadline – 22 May 2024