Work for Us
Come work with us at Monash eResearch Centre
Monash eResearch Centre (MeRC) is a University commitment to accelerating research by applying advanced computing and information technology to important research problems. The centre partners with individual researchers, Australian research institutions and facilities and global research communities. MeRC is a leader amongst international eResearch initiatives and runs a number of national projects including the MASSIVE high performance computing facility, R@CMon - a node of the Australian Research Cloud, petascale data storage infrastructure, and the national Characterisation Virtual Laboratory. Staff at the Monash eResearch Centre deliver impact: we help visualise how the human brain is connected, we design high performance computing systems, we write data processing workflows for one-of-a-kind Australian microscopes, and we write smart software for interrogating unique data collections. MeRC is driven by the quality and passion of our staff, and the partnership with the researchers we work with.
Working in partnership with researchers at Monash University, staff from eSolutions, and national partners, our staff contribute to the deployment of, and continuously improve, a range of software and/or infrastructure systems dedicated to underpinning fundamental and translational research. These systems will enable and accelerate new research and contribute directly to MeRC’s infrastructure vision – an environment for modern, data-centric research, where researchers build 21st century infrastructure to underpin amazing discoveries.
We are currently seeking expressions of interest for multiple positions to join our team – developing, building and operating Monash University’s latest research IT infrastructure for Australian researchers.
MeRC employs a range of experts:
- Cloud computing and high performance computing experts
- Scientific software developers
- Web or full stack software developers
- Research-focused business analysts and project managers
Experience and skills that can be applied to the following projects are highly sought:
- Drone facility and analysis virtual laboratory - The project will be expected to build a pipeline of digital infrastructure associated with obtaining and rapidly processing large datasets from drones. This involves one or more of: [i] processing photogrammetric data and then analyse the resulting point clouds using high performance compute and/or the cloud, [ii] enabling users to upload, visualise and process the data from personal computers or laptops, ideally through easy-to-use graphical user interfaces, [iii] begin the development of semi-automating processing steps, and [iv] begin developments for porting data directly from the drones in real-time to the computational infrastructure.
- Epidemiology Modelling - The design, engineering and maintenance of the high-quality, innovative and fully performing software applications (many written in Python) being developed by the Epidemiology Modelling Unit. Two software platforms are under development: The AuTuMN platform is used to provide decision support to highly endemic countries across the world for programmatic TB control; The non-communicable disease and demographic platform.
- Devops of research safe havens - The Monash University Health Data Platform is a university undertaking to support health and medical researchers that are at the forefront of health, epidemiological and translational research nationally and internationally. This project will support the safe haven agenda by developing and operating a layer of increasingly autonomous deployments of web-scale IaaS (upon OpenStack, Ceph & Cumulus) that also assure security, patient identity, privacy and other information governance, and ultimately contribute to our present ISO9001 accreditation and application of ISO27001 to these environments. More interestingly these will incorporate higher-level researcher-self-service LAMP stacks, virtual desktop infrastructure (VDI) or a remote desktop service , Hadoop/Spark, deep-learning, image processing and genomics processing.
- The Characterisation Virtual Laboratory (CVL) and instrument workflows - the CVL is a national infrastructure program that helps instrument facilities connect the national research cloud, and develops rich online remote desktops environments for data analysis and visualisation. The project is working with four Cryo Electron Microscopes (cryoEMs) that produce very high volume and high resolution images of protein structures. The data produced by these instruments is able to provide significant insight into the structure and function of the fundamental building blocks of life. However, the scale of this data, and the amount of processing it requires, creates significant data movement, management and processing and challenges.
Whilst these areas are of particular interest, exceptional candidates from all related areas will be considered.