Research Fellow

Classification: Academic Level B
Salary package: $118,632 - $134,507 per annum + 17% superannuation
Terms: Full time, Fixed Term (up to 12 months) 

We invite applications to join the Control, Information, Intelligence, Communications, Automation, Decision, and Autonomy (CIICADA) Lab where we explore innovative research challenges in:

• dynamical systems
• differential games
• optimal control
• numerical optimisation and/or
• machine learning in control

About the opportunity

The successful applicant will become part of a collaborative and forward-thinking research team working across decision and control theory. Responsibilities will include contributing to student mentorship at undergraduate and master's levels and co-supervision at MPhil and PhD levels.

The Research Fellow will participate in industry and open-source projects alongside academic colleagues in the CIICADA Lab. They will engage in joint research with chief investigator Dr. P. Braun and other collaborators, and pursue independent research interests within the scope of the lab’s mission. The role offers opportunities for growth, teamwork, and meaningful impact in both academic and applied settings.

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 & 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 comprises three schools: the School of Computing, School of Cybernetics, and School of Engineering, supported by the Professional Services Group.

The School of Engineering brings together a diverse and welcoming community that is motivated to seek “wicked problems”. We connect divergent thinkers, to explore and pose solutions, that cross the traditional interdisciplinary and global boundaries. We have evolved from our foundational strength in systems thinking, reaching beyond traditional engineering fields. This systems approach embraces our core strengths and is shaped around four focus areas: Aerospace Engineering, Electrical Engineering, Environmental Engineering, Mechatronics. Join us in our fundamental quest of discovery and passionate pursuit of knowledge that goes beyond our lived world.

About the Lab

CIICADA (Control, Information, Intelligence, Communications, Automation, Decision, and Autonomy) Lab is an inter-cluster research lab committed to advancing research and education in control, information, decision, and autonomy sciences.  Of particular interest are the areas of optimisation and game theory and its applications; systems and control theory; autonomy; quantum systems; and complex networks (including networks of dynamical systems, communications networks, and social networks). CIICADA Lab is at the forefront of major methodological developments in a wide range of fields, including: robotics, telecommunications, information technology, energy, and defence.

Enquiries

To enquire about this role, please contact Philipp Braun, E: philipp.braun@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 Systems & Society 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) including a full publication list 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 statement addressing the selection criteria.
• A 1-2 page statement outlining your research objectives for the position if appointed
• A statement addressing past and/or potential contributions to diversity through research, teaching, and/or service. 
• Other documents, if required. 

Please note: The successful candidate will be required to undergo a background check during the recruitment process.  An offer of employment is conditional on satisfactory results.