(C) The Conversation This unaltered story was originally published on TheConversation.com/us [1] License: Creative Commons - CC BY-ND 4.0 Attributions/No Derivities[2] ---------------- Research Fellow in Safe Learning-Based Control Job at University of Melbourne in Parkville, United States By: [] Date: 2022-02 Posted 20 February, 2022 Opportunity to explore, analyse, develop, and demonstrate various approaches in safe learning of linear and nonlinear dynamic models for multi vehicle planning and control Job no: 0055414 Location: Parkville Role Type: Full time, Fixed-term until May 2023 Faculty: Faculty of Engineering and Information Technology Department/School: School of Electrical, Mechanical and Infrastructure Engineering Salary: Level A – $75,289 - $102,163 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. The Faculty of Engineering and Information Technology (FEIT) is strongly committed to supporting diversity and flexibility in the workplace. Improving the representation of women is necessary in our goal to innovate and to strengthen FEIT’s reputation as a best-in-class centre of research. School of Electrical, Mechanical and Infrastructure Engineering (EMI) recognises that engineered systems of present and future significance increasingly have connections to all three. We are the oldest engineering school in Australia – initially founded in 1861 – and have evolved into a vibrant community of internationally recognised researchers passionate about addressing major challenges of today and into the future. About the role: The Research Fellow will work on safe simultaneous learning and control of dynamical systems. The use of learned models and controllers in autonomous and robotic systems is becoming prevalent. Online learning from data can for instance create adaptable algorithms for navigation on previously unknown terrains or for control of vehicles and their subsystems that might have endured slight damage and modifications during a mission. Nevertheless, the criticality of applications demands that these data-based learning approaches can still guarantee a safe operation of the systems they adapt online. In this position, you will explore, analyse, develop, and demonstrate various approaches in safe learning of linear and nonlinear dynamic models for multi vehicle planning and control. Responsibilities include: Providing expertise in design, analysis, and demonstration of safe learning-based control. Publication of high-quality research papers on the topic of safe learning-based control in peer-reviewed top venues in control engineering and computer science. Providing project representation to various stakeholders, e.g., Defence Science and Technology Group (DSTG), as required. Attending and participate in relevant meetings and seminars. Contributing to teaching, training, scientific mentoring and supervision of students; About You: You are confident communicator with well-developed interpersonal, communication and negotiation skills with the ability to build and maintain relationships with internal and external stakeholders within a diverse work environment. You are highly organised, detail oriented with a strong work ethic, commitment to continuous improvement, openness to new ideas and creative approaches to problem solving within established timelines. Ideally, you will further have: A PhD in electrical engineering (control, communication, or signal processing) or neighbouring topics including, but not limited to, computer science, applied mathematics, mechanical engineering, computer engineering, or aerospace engineering. A solid understanding of the theory of at least of one of the topics of optimal control, numerical optimization, system identification, or learning-based control. An excellent track record of quality research as evidenced by research publications in the top journals and conferences of the systems and control, computer science, or applied mathematics. For specific responsibilities of this role please refer to the attached Position Description. You will be supported to pursue achievement in all pillars of an academic career: Research & Research Training Contribution to Teaching and Learning Engagement Service and Leadership To ensure the University continues to provide a safe environment for everyone, this position requires the incumbent to hold a current and valid Working with Children Check. 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. 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 and 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. The University of Melbourne is strongly committed to supporting diversity and flexibility in the workplace. Applications for part-time or other flexible working arrangements will be welcomed and will be fully considered subject to meeting the inherent requirements of the position. Join Us! If you feel this role is right for you, please apply with your CV and cover letter outlining your interest and experience. Please note that you are not required to provide responses against the selection criteria in the Position Description. Should you require any reasonable adjustments with the recruitment process, please contact the Talent Acquisition team at [email protected]. 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/ While we review your application, get to know us by visiting http://www.eng.unimelb.edu.au/about/join-feit Applications close: 03 Apr 2022 11:55 PM AUS Eastern Daylight Time [END] [1] URL: https://jobs.theconversation.com/jobs/109970078-research-fellow-in-safe-learning-based-control-at-university-of-melbourne?utm_source=theconversation.com&utm_medium=website&utm_campaign=sidebar_job [2] URL: https://creativecommons.org/licenses/by-nd/4.0/ TheConversation via Magical Fish Gopher New Feeds: gopher://magical.fish/1/feeds/news/theconversation/