Three PhD positions are immediately available at the Centre for Optimisation and Decision Science at Curtin University. The research will focus on developing robust adaptive techniques for solving complex problems in mathematical physics. The specific research areas we will explore are
+ Adaptive scientific deep learning methods for mathematical physics problems governed by partial differential equations (domain decomposition, adaptive quadrature)
+ Finite element methods for complex flows in porous media (generalized multiscale finite elements via autoencoders, adaptive in space and time, splitting methods, and variational flux recovery)
+ Adaptive r-refinement for finite element  and scientific deep learning methods (gradient-free adaptation, generalized stochastic gradient descent methods)
Salary for PhD students: is AUD32K per annum, tax free. The scholarships include fee waivers. Don't hesitate to contact Prof. Calo at victor.calo@curtin.edu.au for more details. The application target date is mid-December 2023, but the review will continue until all available positions are filled.

• Current Students
• Future Students

• Faculty of Science & Engineering
  • Science courses
  • Engineering courses
  • Western Australian School of Mines (WASM)

• Higher Degree by Research

• Australian Citizen
• Australian Permanent Resident
• New Zealand Citizen
• Permanent Humanitarian Visa
• International Student

• Merit Based

This scholarship provides a living stipend of $32,250.00 p.a. pro rata indexed, based on full-time studies, for up to a maximum of 3 years.

3

Any HDR student willing to use mathematical modelling and simulation in engineering and physical problems.

• Strong mathematical background
• Strong analytic abilities
• Experience in developing scientific software (using any of these languages/libraries: Python, Julia, C++, C, Fortran, Matlab, Fenics/FeniX, MFem, deal.II, libMesh, PETSc, Trilinos, Pytorch, TensorFlow, Jax, Keras, Pandas)
• Ability to read technical papers and analyze/implement methodologies described in them
• Strong ability to communicate in writing and orally

Future student, please contact us via the EOI form.

Recipients must complete their milestone 1 within 6 month of enrolment, remain enrolled on a full time basis for the duration of the scholarship, and make satisfactory progress in the research work.

Please contact Victor Calo, Victor.Calo@Curtin.edu.au

Top applicants interested in the position will receive a request to reproduce numerical results from a published paper to demonstrate their abilities and learn the kind of work performed in the group.