Research Fellow in Simulation Modelling and Software Engineering
- Employer
- UNIVERSITY OF MELBOURNE
- Location
- Melbourne, Australia
- Closing date
- 30 Nov 2020
View more
- Academic Discipline
- Computer Science, Engineering & Technology, Mathematics & Statistics, Physical Sciences
- Job Type
- Academic Posts, Research Fellowships
- Contract Type
- Fixed Term
- Hours
- Full Time
Job Details
Work type: Fixed Term
Location: Parkville
Division/Faculty: Faculty of Medicine, Dentistry and Health Sciences
Department/School: Melbourne School of Population and Global Health
Salary: $73,669 - $99,964 (Level A)
Role & Superannuation rate: Academic - Full time - 9.5% super
About the role:
The successful candidate will be working in a team of epidemiologists, economists and computer scientists. You will take the lead role in the building and maintenance of our core simulation models, coded in Python. You will accordingly have a diverse set of tasks, from software engineering and coding, through to documentation of the same and training staff how to use the models.
The core Python code is part of code developed by the Institute of Health Metrics and Evaluation (home of the Global Burden of Disease), University of Washington. Accordingly, you will be intersecting with some of the world’s leading research in health metrics and software engineers that facilitate this.
The position is as an Academic Specialist – meaning you focus on the ‘engine room’ without an expectation to lead author papers and grants – although if this is a career direction you want, we can discuss this at interview. Regardless, you will be involved in many publications and outputs through your written summary of methods and delivery of results in tables and graphs.
The Population Interventions Unit is rapidly establishing itself as an influential research group and has been very involved in the State of Victoria’s COVID-19 policy response.
This is an exciting time, with huge potential to inform policy through simulation modelling at the intersection of epidemiology, economics and data science.
About you:
You will require an undergraduate or graduate degree in computer science, mathematics, engineering, statistics, or related field. Demonstrated experience in Python coding is essential, and experience in software engineering is highly desirable. Knowledge of the research fields and methods used in epidemiology and/or demography is desirable – and if you are not conversant with epidemiology and lifetables (in particular) you must have the curiosity and ability to quickly become proficient in those areas relevant to simulation modelling (like disease incidence and case fatality rates, burden of disease studies, costings). The ability to undertake statistical analyses of input data (e.g. regression modelling) is essential.
PhD in epidemiology (preferred), computer science, economics, demography or closely related discipline (e.g. biostatistics). You will need demonstrated skills and experience in using a statistical or programming code (Python desirable). Strong writing skills are essential. You will need good communication skills and the ability to work harmoniously and productively in a vibrant and multidisciplinary team.
Position Description:
Applications close: 30 Nov 2020 11:55 PM AUS Eastern Daylight Time
Company
The University of Melbourne enjoys an outstanding reputation with world rankings consistently placing us as Australia’s leading comprehensive research-intensive university, and one of the world’s top 50*.
Melbourne attracts the best and brightest students and researchers and, with a history of over 160 years, we occupy a special place at the heart of our city’s cultural scene.
Melbourne is a leading research university, widely renowned for its teaching and the social and economic contributions it makes through knowledge transfer. The University’s performance in international rankings puts it at the forefront of higher education in the Asia-Pacific and beyond.
Internationally, the University is consistently ranked among the leading universities in the world, with its international peers placing it in the top 20 worldwide, and employers placing it in the top 10. In the recent Times Higher Education rankings of the world’s top 200 universities, Melbourne ranked top in Australia and 33 in the world.
Melbourne’s international research pre-eminence was also acknowledged with a top 100 ranking in the Shanghai Jiao Tong rankings. Ranked No. 44 in 2015, the University has climbed steadily in the rankings since first appearing at No. 92 in 2003.
The Melbourne Model introduces undergraduate programs characterised by both breadth and depth, followed by a graduate professional degree, a research higher degree or entry directly into employment.
In 2008 Melbourne commenced offering six New Generation undergraduate degrees in Arts, Biomedicine, Commerce, Environments, Music and Science. The Melbourne Model also introduces a new graduate school experience to Australia, providing the best and brightest with a more focused, intense and professionally relevant degree in areas such as Law, Architecture, Teaching and Nursing. With the Melbourne curriculum now aligning the University with the world’s top universities in Europe, North America and Asia, we enable our students to develop the skills and attributes required by employers all over the world.
More than 50,000 students from over 120 countries take courses in the University’s 12 faculties and graduate schools.
For more information please visit: http://www.unimelb.edu.au
*Times Higher Education World University Rankings 2015 – 2016 and Academic Ranking of World Universities 2015
- Mini-site
- UNIVERSITY OF MELBOURNE
- Telephone
- +61 (3) 8344 4000
- Location
-
Parkville
Melbourne
Victoria
VIC 3010
Australia
Get job alerts
Create a job alert and receive personalised job recommendations straight to your inbox.
Create alert