Computational Multiphysics & Physics Verification Consultant

You will own the mechanical and fluid physics of the sensing chain — a coupled fluid-structure problem in soft biological tissue, running from internal pressure through vessel-wall motion and tissue deformation to displacement at the outer surface. You will build that chain as a validated computational model, and you will independently verify the theoretical and computational physics the platform rests on. That verification mandate is unusual and we mean it literally. Our program has twice been saved by exactly this kind of adversarial checking, and the person in this role is expected to be the one doing the checking

Responsibility :

Assemble and verify the governing-equation model of the coupled system. 

Independently check the theoretical correctness of the computational physics. This is a first-class deliverable, not quality assurance bolted on afterwards. 

Build and validate the multiphysics model, and help evolve it from an abstract model into a genuine digital twin. 

Build fast surrogates of that model, so it can sit inside an inverse and estimation loop rather than only running offline. Work alongside the electromagnetic and optical workstreams, and own the seam where the mechanical physics meets them. 

Required qualifications Strong computational physics grounded in mechanical engineering and fluid dynamics. Multiphysics simulation — COMSOL, ANSYS, Abaqus, OpenFOAM or equivalent. 

Fluid–Structure Interaction. The load-bearing physics here is a coupling: pulsatile pressure drives a compliant wall, the wall drives surrounding tissue, tissue drives the outer surface. FSI is this problem. 

Soft-tissue constitutive modeling — hyperelastic (Ogden, Mooney-Rivlin), viscoelastic, poroelastic. Tissue is not linear-elastic, and treating it as such silently corrupts the surface-displacement prediction.

 Formal verification and validation of computational models — method of manufactured solutions, mesh convergence, uncertainty quantification.

 7+ years, or a PhD plus 4+ years, in computational mechanics or physics. Programming ability — Python, MATLAB, C++ or Fortran