Research Fellow Control of Multiagent Systems

• Full-time Fixed Term position for 12 months (extension subject to available funding)

• Salary Academic Level B ($115303 - $136925 p.a.) 17% Superannuation and Flexible Working Arrangements

• Based at the Melbourne CBD campus but may be required to work and/or be based at other campuses of the University

Shape the future of intelligent control systems

We are seeking a talented and motivated Research Fellow to join a high-impact research team advancing the theory and application of learning control and optimisation in multiagent and complex networked systems.

This is an exciting opportunity for an early-career or emerging researcher to contribute to cutting-edge work in:

• Multiagent systems and distributed control

• Learning and optimisation

• Variable structure and sliding mode control

• Smart power and energy system applications

Working alongside leading academics and industry collaborators you will help deliver innovative solutions with real-world impact across energy automation and intelligent systems.

About the Role
You will design and lead high-quality research projects aligned with the School and University research strategy while building strong national and international collaborations.

Key responsibilities include:

• Conducting independent and collaborative research in learning control and optimisation of multiagent systems

• Publishing in leading journals and top-tier conferences

• Developing competitive research funding proposals (including Category 1 grants)

• Collaborating with industry and academic partners

• Co-supervising postgraduate research students

• Contributing to project delivery dissemination and research leadership within the team

To be successful in this position youll have:

• Demonstrated research track record in learning control and optimisation of multiagent systems.

• Publications in top-tier conferences and journals relevant to the above fields.

• Demonstrate ability to clearly communicate research results concepts and knowledge.

• Demonstrated initiative in research and problem solving.

• Demonstrated ability to work effectively both as a member of a research team and independently when required to meet project outcomes and milestones.

Qualifications

Mandatory: PhD or equivalent in electrical and electronic engineering and/or applied mathematics in particular in one or more areas of learning control and optimisation of multiagent systems. Experiences in dealing with complex networks and/or variable structure systems and/or sliding mode control and applications would be desirable.

Eligibility requirement: Australian Citizen or Permanent Resident.

Please Note: Appointment to this position is subject to passing a Working with Children and National Police Check.

About the School of Engineering

The School of Engineering comprises a diverse range of disciplines: Aerospace Engineering & Aviation; Chemical & Environmental Engineering; Civil & Infrastructure Engineering; Electrical & Electronic Engineering Biomedical Engineering; Manufacturing Materials & Mechatronic Engineering; Mechanical & Automotive Engineering.

As a top 100 university in the world for engineering (2015 QS Rankings by Faculty; Engineering and Technology) RMIT Engineering provides students with work-relevant education programs access to excellent research facilities and opportunities to engage in creative real-world project work through robust relations with local and international industry leaders.

RMIT Engineerings education is based on innovation and creativity. Key discipline areas in the School of Engineering provide programs with flexible pathways to global careers or postgraduate research.

Details relating to the School/College Office may be found on at: click the Apply link below and upload the following documents:

• Your CV

• A cover letter

• A separate document addressing the Key Selection Criteria

For further information about this position please see the Position Description hyperlinked below or contact Distinguished Professor Xinghuo Yu via email

For further information regarding recruitment processes please contact Jennifer Pham Senior Talent Acquisition Advisor via email at Please do not share your application to this email address.

Position Description Research Fellow Control of Multiagent Systems

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RMIT is an equal opportunity employer committed tobeinga child safe organisation. We are dedicated to attracting retaining and developing our people regardless of gender identity ethnicity sexual orientation disability and age. Applications are encouraged from all sectors of the community and we strongly encourage applications from the Aboriginal and/or Torres Strait Islander community.

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