First listed on: 16 June 2019

Post-Doctoral Research Fellow – Control and Identification of Nonlinear Network Systems 

  • Opportunities for collaborative research in leading control groups in Europe and US 
  • Full time, fixed term for 2 years, located at Camperdown Campus
  • Base Salary: $104,155 p.a. - $123,682 p.a. Level B plus leave loading and a generous employer’s contribution to superannuation


About the opportunity 

We are seeking a post-doctoral researcher with a strong background in nonlinear system control, identification, network systems, or optimization to join the University of Sydney, Australia. You will work with Dr Guodong Shi on a joint project with co-investigators Dr Jochen Trumpf (Australian National University), Prof Karl Henrik Johansson (KTH Royal Institute of Technology, Sweden), Prof Claudio Altafini (Linkoping University, Sweden), and Prof John Baras (University of Maryland, US) funded by the Australian Research Council. It is also expected that the successful candidate will spend approximately two months working in the research groups of these co-investigators.

The project will see you develop theory and algorithms for the control and identification of nonlinear network systems. Particular areas of investigation will include nonlinear system control, system identification, distributed control of network systems in concert with methods of combinatorial optimisation and convex optimisation.

About you

The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for a who possesses:

  • PhD (or soon to be completed) in engineering, applied mathematics, or computer science, with an ability to start by Nov/Dec 2019 at the latest.
  • A research track record, potential or demonstrated, of international standing.
  • Strong mathematical and computational skills.
  • Demonstrated expertise and research experience in nonlinear systems, system identification, distributed control, or optimization.
  • Excellent written and verbal English communication skills.

About us

Since our inception 160 years ago, the University of Sydney has led to improve the world around us. We believe in education for all and that effective leadership makes lives better. These same values are reflected in our approach to diversity and inclusion, and underpin our long-term strategy for growth. We’re Australia's first university and have an outstanding global reputation for academic and research excellence. Across our campuses, we employ over 7600 academic and non-academic staff who support over 60,000 students.

We are undergoing significant transformative change which brings opportunity for innovation, progressive thinking, breaking with convention, challenging the status quo, and improving the world around us.

How to apply

For more information on the position and University, please view the candidate information pack available from the job’s listing on the University of Sydney careers website. 

All applications must be submitted via the University of Sydney careers website.  Visit and search by the reference number 1061/0519F to apply.

Closing date: 11:30pm, 5 July 2019 (Sydney Time)

The University of Sydney is committed to diversity and social inclusion. Applications from people of culturally and linguistically diverse backgrounds; equity target groups including women, people with disabilities, people who identify as LGBTIQ; and people of Aboriginal and Torres Strait Islander descent, are encouraged.


© The University of Sydney


The University reserves the right not to proceed with any appointment.


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