Postdoctoral Research Fellow

Monash•Clayton, NC
•Hybrid

About The Position

This is a targeted 12-month research initiative bridging high-performance computing (HPC), advanced ABAQUS finite-element modelling, and hands-on laboratory testing. The role involves leading the development and validation of multi-scale fracture mechanics models, bridging numerical simulation with physical experiment, developing automated Python workflows, running parametric studies on HPC clusters, and validating predictions against experimental results. The position is full-time with a 12-month fixed-term appointment.

Requirements

  • A PhD in Structural Engineering, Mechanical Engineering, or a closely related discipline.
  • Proven expertise in finite-element modelling with ABAQUS, grounded in solid and fracture mechanics (e.g. multi-scale modelling of composite laminates or concrete, phase-field fracture modelling).
  • Experience with ML models.
  • Strong Python skills for automation, data analysis, and workflow tool development, including experience with ML and optimisation.
  • Excellent communication skills, a collegiate mindset, and a strong track record of producing clear reports and publications.
  • Experience with experimental testing using mechanical loading machines.

Responsibilities

  • Build, verify, and validate multi-scale models using ABAQUS linked with user-defined material/element subroutines.
  • Write Python scripts for simulation automation, data processing, and workflow optimisation.
  • Train Machine Learning (ML) models based on published literature, experimental data, and FEA results to support optimization of advanced materials.
  • Support mechanical testing (setup, instrumentation, and data acquisition) to validate numerical predictions and contribute to machine learning and optimisation activities.
  • Provide technical guidance and scripting support to PhD students.
  • Co-author journal manuscripts.
  • Contribute to research funding applications.
  • Drive the project toward key deliverables, including a reusable modelling workflow, a structured simulation dataset, and top-tier journal submissions.

Benefits

  • Flexible and hybrid working arrangements
  • Support for combining work and personal commitments
  • Support for parents

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume

What This Job Offers

Job Type

Full-time

Career Level

Entry Level

Education Level

Ph.D. or professional degree

© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service