MeSSO is an academic research group in the applied mechanical and energy systems research fields
Education
MeSSO are actively engaged in research informed teaching practices throughout the School of Mechanical, Electrical & Process Engineering. MeSSO collaborates with the MTU Teaching and Learning Unit and N-TUTORR on multiple student-engaged education research programs. Several final year engineering projects run in conjunction with MeSSO research projects each year. There are a number of recurring opportunities for various types of student.
Postgraduate
MeSSO has ongoing opportunities for research projects at both masters and PhD levels. Currently, MeSSO has research and taught master’s projects running as well as several fully funded PhD projects. MeSSO also funds a postgraduate fellowship with industry partners.
Internships
MeSSO has internship opportunities available for both national and international students. Students will be working as part of a team involved in cutting edge research across a wide range of energy engineering disciplines.
Undergraduate
MeSSO runs several undergraduate projects in the School of Mechanical, Electrical & Process Engineering throughout the academic term. For information on undergraduate scholarships please click here
Virtual LaborAtories
The group's primary focus in the area of education research is in the development of virtual laboratories to enable an enhanced interactive student learning experience. Virtual laboratories have become an increasingly popular topic for engineering education research as they allow theoretical systems to come to life through mathematical simulation and give the student a far more interactive learning experience. Scalable mechanistic virtual laboratories built from first principles theory of mechanics, energy and fluid dynamics allow the student to gain a better understanding of the physical application.
MeSSO virtual laboratories are designed to be intuitive and interactive tools for undergraduate engineering students to better their understanding of mathematical modelling and control systems design.