Location: Civil Engineering Department, Université de Sherbrooke, Québec, Canada
Project: Characterising fish friendly obstacles in open-channel flow
Previous studies have shown that fish are able to negotiate complex flow environments using multi-modal physiological sensors such as vision and hair cells. In altered flows, fish have been found to adopt a distinctive energy saving swimming pattern synchronized to the shedding vortices. This behaviour was found to minimize energy expenditure as indicated by lower muscle activity and tail beat frequency. This project will characterize the flow structure behind various shaped bluff bodies using time-resolved stereo particle image velocimetry (PIV) and commercial computational fluid dynamics (CFD) software (FLOW3D) and open source CFD (OpenFOAM). Laboratory experiments will be performed in two tilting hydraulic flumes of small (0.15 m wide) and large scale (1.2 m wide). The holding positions, kinematics and trajectories of target fish species will be filmed using high-speed cameras which will then be related to the measured flow structure.
Experience: The ideal candidate should detain a Master’s in Civil and/or Mechanical Engineering or related fields, and should have laboratory experience using velocimetry instrumentation such as PIV. Previous experience with CFD would as well be valuable. While the Université de Sherbrooke is a French institution, the ability to speak French is not a requirement at the Ph.D. level. Interested candidates should send a CV and transcripts to Jay Lacey (email@example.com).