Research Fellow - Automation And Data Science Engineer / Scientist

Research Fellow - Automation and Data Science Engineer / Scientist
Job No.: 660742
Location: Clayton campus
Employment Type: Full-time
Duration: 2-year fixed-term appointment
Remuneration: $111,603 - $132,529 pa Level B (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 , work feels different. There's a sense of belonging, from contributing to something groundbreaking - a place where great things happen.
We value difference and , and welcome and celebrate everyone's contributions, lived experience and expertise. That's why we champion an where everyone is supported to succeed.
Together with our , you will have access to quality research facilities, infrastructure, world class teaching spaces, and international collaboration opportunities.
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The Opportunity
The Department of Chemical and Biological Engineering located within the Faculty of Engineering is seeking applications for a Research Fellow - Automation and Data Science Engineer / Scientist.
The Research Fellow will manage a new automated research platform (High-Throughput Energy Materials Discovery Platform - HEMP). The platform is dedicated to the discovery of new energy materials and funded by the Australian Centre for Advanced Photovoltaics and other major stakeholders such as Monash University, CSIRO and ANFF.
The funding was awarded to researchers at ACAP's Monash University node and the instrument will be located at the Melbourne Centre for Nanofabrication. The platform is a 10-meter-long robotic system which combines all aspects of a modern materials development laboratory for solution processable (printable) semiconductors.
The highly motivated individual will take responsibility for the Automation and Data management aspects of this research tool. This represents a unique stepping stone for academic as well as professional careers.
The successful candidate will have research or work experience in the field of automation, Data Science or mechatronic. Ideally this includes the software and/or hardware integration of scientific equipment. Experience in successfully supervising, mentoring and coaching to support the development of research staff and/or a demonstrated trajectory of leadership capability.
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 .
Monash avidly supports flexible and hybrid working arrangements. We have a range of policies in place .
Your application must address the selection criteria. Please refer to ' '.
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.
Enquiries
Please address your application to Professor Udo Bach, Professor in the School of Chemical and Biological Engineering
All Enquiries please email, Ana Amaral Ferreira on
Position Description
Closing Date
Thursday 22 February 2024, 11:55pm AEDT
Supporting a diverse workforce