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Dates
  • Opening Date: 15-Oct-2024
  • Closing Date: 15-Nov-2024

Location
  • Flexible location + hybrid work arrangements

Salary
  • Level B $113,157 - $133,837 + 17% Superannuation (pro rata, part time)

Responsibilities
  • Utilise numerical tools (specifically explicit finite element software) to analyse the performance of protective structures under extreme dynamic loading
  • Contribute to the development of a human-machine collaborative framework for experimental design
  • Develop and apply machine learning-based analysis tools for predicting the performance of complex engineering systems
  • Initiate, design, and conduct high-quality, inter-disciplinary research collaborations in areas related to computational material science, protective structures, or behaviour of materials in extreme environments
  • Support and/or lead applications for external research funding.

Requirements
  • PhD in physics, engineering (mechanical, aerospace, electrical, mechatronics), computer science or a relevant discipline and/or other relevant qualifications and experience
  • Demonstrated expertise in computational modelling, for example finite element (preferred), computational fluid dynamics, computational materials, or related
  • Demonstrated experience in programming, languages including python (preferred), MATLAB, Julia, R, or related
  • Emerging reputation in research and scholarship through publications
  • Excellent interpersonal skills and a proven ability to establish good working relationships with colleagues.

Benefits
  • Access to a variety of leave options including generous parental leave and the ability to purchase additional leave
  • Flexible working arrangements to help manage work-life balance
  • Ongoing learning and development opportunities to grow your career
  • An inclusive and supportive culture and environment to work in, both online and on campus.

Notes
  • For a confidential discussion regarding this role, please contact Shannon Ryan (Associate Professor, Mechanical Engineering) via shannon.ryan@deakin.edu.au
  • For a copy of the position description, please see below: Research Fellow (SR Eng).pdf