|The positions listed below are funded by the
industry and are available for an immediate start. Interested candidates should email their CV, IELTS score and an unofficial transcript to me
PhD (1 position):
1 PhD position iis available in the area of Experimental Investigation of Solid State Battery Chemistries. The starting date is immediate. While all applicants are welcome, preference will be given to Canadian citizens and permanent residents.
Project details: In this role, the student will be working with a team to experimentally investigate new materials for solid state batteries.
An ideal candidate should have a background in electrochemistry, advanced materials research, and wetlab experience.
PhD (1 position):
1 PhD position iis available in the area of Computational Modeling of Solid State Batteries. The starting date is immediate. While all applicants are welcome, preference will be given to Canadian citizens and permanent residents.
Project details: In this role, the student will be working with a team to design and develop advanced multiscale models to investigate solid state batteries with novel chemistries.
An ideal candidate should have a background in computational chemistry, quantum mechanics, molecular dynamics and
advanced computational modeling. Strong programming abilities in python is a must.
|Please note that due
to a high volume of applications, we will contact the applicant only if they meet our requirements for these positions. Kindly
refrain from follow up emails if you do not hear from us.
Lithium Batteries: There
is an increased focus on Lithium batteries in the research community
their need in electronic, automotive and aerospace industries. However,
technology suffers from underutilization, stress-induced material
capacity fade, and thermal meltdown. This project aims to improve the
designs by employing multi-scale mathematical/computational techniques
to delineate the meso-,
nano- and molecular scale electrochemical processes that govern the
of lithium batteries, thereby aiding the manufactueres to develop the
next generation lithium batteries.
Soret-effect is a coupled mass and heat transfer phenomenon in which
the components of a mixture tend to segregate into preferred thermal
zones when the domain containing the mixture is subjected to a thermal
gradient. It is the underlying principle in the separation and
characterization of polymers, Field Flow Fractionation devices, isotope
separation and also affects crude oil stratification in oil
reservoirs. To explain this phenomena, in our work we make use of
thermodynamic, algebraic and neurocomputing models.
|Nanomaterials: In this
are developing mathematical models for the bainitic transformation that
takes place during the thermomechanical processing of the steel. We are
also developing algorithms that determine the optimal thermomechanical
processing conditions to obtain nanoscale bainitic plates that
directly contribute to the strength and ductility of the