Ontario government awards $2 million for early career researchers and infrastructure

Tuesday, September 17, 2019

Fifteen University of Waterloo researchers will receive $2 million from the provincial government to advance Ontario’s knowledge-based economy.

Mike Harris, MPP for Kitchener-Conestoga, and Amy Fee, MPP for Kitchener South-Hespeler, announced 11 Early Researcher Awards (ERA) and four Ontario Research Fund-Research Infrastructure (ORF-RI) awards today. The announcement is part of a larger investment by the Province of Ontario aimed at advancing Ontario’s competitive edge.

Two faculty members from the Department of Chemistry received funding at today's announcement:

Early Researcher Awards

Derek SchipperDerek Schipper received an Early Researcher Award for his project, "Organic Chemistry solutions for intractable problems in materials and nano-science."

The Early Researcher Awards program recognizes promising new researchers with $140,000 each to build a research team.

Additional recipients from the Faculty of Science included:

  • Paul Craig (Biology): Using biological tools to predict impacts of climate change and contaminants on aquatic health
  • Kazi Rajibul Islam (Physics and Astronomy): Building a trapped ion quantum simulator for studying arbitrarily connected spin models
  • Chris Yakymchuk (Earth and Environmental Sciences): Radioactive heat generation in the Earth’s crust through time and space

Ontario Research Fund – Research Infrastructure (ORF-RI) Awards

Rodney Smith

The ORF-RI fund helps support infrastructure needs such as equipment and modern facilities.

Rodney Smith was awarded $130,000 in research infrastructure funding for his project, "Spectroelectrochemical analysis for heterogeneous electrocatalysts."

ORF-RI Receipients from the University of Waterloo also included: 

  • Grit Liebscher (German and Slavic Studies and Cognitive Science): Social interaction, Language and Culture Laboratory
  • Sushanta Mitra (Mechanical and Mechatronics Engineering): Infrastructure to characterize capillarity and wetting for under-liquid systems
  • Bin Ma (Cheriton School of Computer Science): Software for peptide identification and quantification from large mass spectrometry data using data independent acquisition

Congratulations, Professor Schipper and Professor Smith!

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