Sustainable Farms Operations Manager

Classification: ANU Officer 8 (Research)
Salary package: $115,511 - $123,519 per annum plus 17% superannuation
Terms: Full time, Continuing (contingent funded)
(flexible arrangements, job share, or part time hours will be considered)

This position is continuing (contingent funded). The funding that supports this project has an expected end date of 31 December 2027.

• Impactful Work: Manage effective systems and operations to support ground breaking research that supports sustainable agriculture and biodiversity.
• Leadership Opportunity You will support leadership development across the team and  build a team culture of learning, problem solving and collaboration to inspire others and drive the work forward.
• Collaborative Environment: Work within a vibrant and diverse community of scholars and professionals.

About the College

The ANU by 2025 Strategic Plan calls for the University to serve society through transformational research and education. As one of the great universities of the world, ANU is driven by a culture of excellence in everything we do. Our lived experience is increasingly one of large-scale systems of people, whose actions and interactions are influenced by our digital, physical and biological environment. The ANU College of Systems and Society (CSS) hosts three of the key disciplines necessary to help us design, build, regulate and secure the future.

CSS brings together expertise in social, technical, computational, ecological and scientific systems to build a new approach to systems design and build new national capabilities in data-driven policy and business development. The work we do in the College directly supports one of the four pillars of ANU by 2025: to strengthen our national mission and meet our unique responsibilities as Australia’s national university. We will deliver on our mission by building a strong community, providing transformative educational experiences, conducting high-impact research, seeking meaningful engagement, and becoming a resilient organisation post COVID-19.

We welcome and openly acknowledge differences in expertise, research / education / professional focus, experience and perspective.

CSS is a vibrant and diverse community of more than three thousand students, staff, and visitors. Our College is comprised of the School of Computing, School of Cybernetics, School of Engineering, Fenner School of Environment & Society, Mathematical Sciences Institute, and the Australian National Centre for the Public Awareness of Science, supported by the Professional Services Group.

The Australian National University (ANU) is a world-renowned institution committed to excellence in research and education. The Fenner School of Environment and Society is at the forefront of interdisciplinary research, focusing on the complex interactions between environment and society. Our Sustainable Farms initiative is dedicated to enhancing biodiversity and ecosystem services on farms in Eastern Australia.

About the opportunity

This position is a continuing (contingent funded) appointment to lead our Field Ecology Team initiative. 

We are seeking a dynamic and experienced Operations Manager. This role is pivotal in ensuring the effective and efficient operation of our projects, supporting high-impact research, and fostering strong community engagement.

Enquiries

To enquire about this role, please contact Michelle Young, Project Director, Sustainable Farms, via phone at +61 2 6125 1494 or email michelle.young@anu.edu.au or Karen Brock, Executive Officer at karen.brock@anu.edu.au

Our commitment to diversity, belonging, inclusion and equity

ANU is committed to building a diverse and inclusive community, and particularly welcomes applications from women, Aboriginal and Torres Strait Islander people and candidates from culturally and linguistically diverse backgrounds. Furthermore, it is practice in the ANU College of Engineering, Computing and Cybernetics to actively seek a gender mix of shortlisted candidates for interview. For more information about staff equity at ANU, visit https://services.anu.edu.au/human-resources/respect-inclusion   

We welcome and develop diversity of backgrounds, experiences and ideas and encourage applications from individuals who may have had non-traditional career paths, who may have taken a career break, had career disruptions or who have achieved excellence in careers outside of the higher education sector. We support applicants who require flexible arrangements in their work environments or patterns. If your experience looks a little different to what we’ve described, but you’re passionate and motivated by this position, we welcome your enquiry and application. 

What we offer

The ANU provides attractive benefits and excellent support to maintain a healthy work/life balance and offers generous remuneration benefits, including four weeks paid vacation per year, assistance with relocation expenses and 17% employer contribution to superannuation. We also offer generous parental leave, the possibility of flexible and part time working arrangements, a parental and aged care support program, dual career hire programs, staff and family tuition fee discounts, ANU school holiday programs, and childcare facilities on campus. For more information, visit: https://services.anu.edu.au/human-resources  

How to apply

Applicants must apply online via the ANU recruitment portal and should upload the following separate documents: 

• A detailed curriculum vitae (CV) and the names and contact details of at least three referees (preferably including a current or previous supervisor). If your CV does not include referees, you can complete these online when prompted in the application form. 
• A 2-page statement addressing the selection criteria.
• Achievement relative to opportunity statement where appropriate (optional)
• Other documents, if required. 

Please note: The successful candidate must have rights to live and work in this country and will be required to undergo a background check during the recruitment process.  An offer of employment is conditional on satisfactory results.