Job Description:

Job no: 0055890
Location: Parkville
Role type: Full time; Fixed-term
Faculty: Faculty of Science
Department/School: School of Geography, Earth & Atmospheric Sciences
Salary: UOM 7 – $96,002 – $103,921 p.a. plus 17% super

Founded in 1853, the University of Melbourne is Australia’s #1 university and is consistently ranked amongst the leading universities in the world. We are proud of our people, our commitment to research and teaching excellence, and our global engagement.


About the Faculty of Science

Science at the University of Melbourne is the most highly ranked Faculty of Science in Australia. Science is defined by its research excellence in the physical and life sciences and is at the forefront of research addressing major societal issues from climate change to disease. Our discoveries help build an understanding of the world around us.

We have over 150 years of experience in pioneering scientific thinking and analysis, leading to outstanding teaching and learning and offer a curriculum based on highly relevant research, which empowers our STEM students and graduates to understand and address complexities that impact real world issues and the challenges of tomorrow.

We aspire to engage the broader community with the impact that Science has on our everyday lives. Through the strength of our internships and research project offerings, our students are provided opportunities to engage with industry partners to solve real-world issues.

About the Role

The ARC Centre of Excellence for Climate Extremes (CLEX) is a collaboration involving The University of Melbourne, University of Tasmania, University of New South Wales, Australian National University, and Monash University. The Centre is built around four research programs and a Computational Modelling Support (CMS) program. The Computational Modelling Support team is a dispersed team across all the Universities involved in the ARC Centre of Excellence for Climate Extremes.

This position contributes to the Centre's Computational Modelling Support program and provides specialised expertise in atmospheric modelling support, specifically around the ACCESS modelling system. The Computational Modelling Support Officer assists users across CLEX in solving complex computational problems. The appointee will provide computational modelling support for the Centre; assist researchers in scientific visualisation and data management; provide training to improve the computational skill level throughout the Centre

In a typical week at work, you may:

• Develop expert knowledge of how the Australian community atmospheric model (ACCESS, a large modelling system based on the UK MetOffice Unified Model) is engineered, modified, optimised and configured, and support users of this model locally and at the CLEX partners through a common platform at NCI
• Provide expert support for a broad range of visualisation and data management tools: porting, installation, code development for specific and general applications, and training
• Provide training to improve the computational skill level throughout the Centre, including developing a program of tutorials, training exercises, and example model configurations

About You

You will have knowledge of best practices in software engineering and be able to demonstrate effective written and oral communication skills. You will have excellent customer service and interpersonal skills. You will have the ability to operate with a high level of independence to implement and meet agreed milestones and quality goals of the Centre of Excellence computational modelling support team. Experience in developing and delivering training courses and experience in maintaining and developing atmospheric modelling software is desirable but not essential.

Ideally, you will further have:

• A degree with a depth of subsequent relevant experience or an equivalent level of knowledge gained through any other combination of education, training and/or experience
• Demonstrated experience with software development in a scientific environment, in particular solving physical problems using numerical algorithms. Previous experience with the UM model would be viewed very favourably
• Experience in computer languages such as: Fortran, C/C++, and Python in a Unix/Linux environment. Experience with MPI-based parallelisation and with high-performance computing is desirable.
  
  

Benefits of Working with Us

In addition to having the opportunity to grow and be challenged, and to be part of a vibrant campus life, our people enjoy a range of rewarding benefits:

• Flexible working arrangements and generous personal, parental and cultural leave
• Competitive remuneration, 17% super, salary packaging and leave loading
• Free and subsidised health and wellbeing services, and access to fitness and cultural clubs
• Discounts on a wide range of products and services including Myki cards and Qantas Club
• Career development opportunities and 25% off graduate courses for staff and their immediate families

To find out more, please visit https://about.unimelb.edu.au/careers/staff-benefits.

Be Yourself

At UoM, we value the unique backgrounds, experiences and contributions that each person brings to our community, and we encourage and celebrate diversity. Indigenous Australians, those identifying as LGBTQIA+, females, people of all ages, with disabilities or culturally diverse backgrounds are encouraged to apply for our roles. Our aim is to create a workforce that reflects the community in which we live.

Join Us!

If you feel this role is right for you, please submit your application including a brief cover letter, your resume and your responses against the selection criteria^ (found in the Position Description) for the role.

^For information to help you with compiling short statements to answer the selection criteria and competencies, please go to http://about.unimelb.edu.au/careers/selection-criteria

Should you require any reasonable adjustments with the recruitment process, please contact the Talent Acquisition team at hr-talent@unimelb.edu.au.

Due to the impacts of COVID-19, we are currently prioritising applications with current valid working rights in Australia and candidates who are not affected by travel restrictions. Please see the latest updates to Australia's immigration and border arrangements: https://covid19.homeaffairs.gov.au/