Research Fellow – Embodied AI & models of human decision-making for robot learning

Research Fellow – Embodied AI & models of human decision-making for robot learning

Job No.: 661145

Location: Clayton campus

Employment Type: Full-time 

Duration: 12-month fixed-term appointment

Remuneration: $78,120 – $106,022 pa Level A (plus 17% employer superannuation)

• Amplify your impact at a world top 50 University
• Join our inclusive, collaborative community
• Be surrounded by extraordinary ideas – and the people who discover them

At Monash , work feels different. There’s a sense of belonging, from contributing to something groundbreaking – a place where great things happen.

We value difference and diversity , and welcome and celebrate everyone’s contributions, lived experience and expertise. That’s why we champion an inclusive and respectful workplace culture where everyone is supported to succeed.

Together with our commitment to academic freedom , you will have access to quality research facilities, infrastructure, world class teaching spaces, and international collaboration opportunities. 

Learn more about Monash . 

The Opportunity

The School of Electrical and Computer Systems Engineering located within the Faculty of Engineering has an exciting opportunity for a Postdoctoral Research Fellow to join the team. Monash Robotics is Australia’s leading human-centred robot research facility, comprising 9 full-time faculty members and over 60 PhD students and postdoctoral research fellows. 

This position will contribute to the research activities of the recently awarded “Human Models for Accelerated Robot Learning and Human-Robot Interaction” ARC Discovery Project. This project aims to develop novel approaches to teach robots to proficiently interact with humans in a safe and low-cost manner. The successful applicant will develop novel models from which various human behaviours can be generated and used to train human-robot interaction policies in simulation. These models will be constructed by identifying and integrating known human behavioural biases into deep learning models fit to human data. Working closely with Professor Kulic, Dr Carreno-Medrano and Dr Burke, the successful candidate will also contribute to the development of innovative robot learning algorithms as well as the evaluation, both in simulation and with real users, of the robot policies trained using the proposed human models and algorithms. This research will enable fast and safe robot training to support the deployment and adoption of robots in human contexts such as healthcare facilities, homes, and workplaces.

The successful candidate will hold a PhD in Engineering, Computer Science or related disciplines including machine learning and computational cognitive sciences.

Diversity is one of our greatest strengths at Monash. We encourage applications from Aboriginal and Torres Strait Islander people, culturally and linguistically diverse people, people with disabilities, neurodiverse people, and people of all genders, sexualities, and age groups.

Be part of our story. Work with us to #ChangeIt .

Monash avidly supports flexible and hybrid working arrangements. We have a range of policies in place enabling staff to combine work and personal commitments. This includes supporting parents . 

Your employment is contingent upon the satisfactory completion of all pre-employment and/or background checks required for the role, as determined by the University.

Your application must address the selection criteria. Please refer to ‘How to apply for Monash Jobs ‘.

Enquiries

Pamela Carreno-Medrano, Lecturer, Electrical and Computer Systems Engineering, [email protected] , +61 3 9905 5562

Position Description

 Research Fellow – Embodied AI & models of human decision-making for robot learning

Closing Date

Thursday 21 March 2024, 11:55pm AEDT

Supporting a diverse workforce