Job Board

This position will be instrumental in designing, implementing, and validating self-driving laboratories (SDLs) to accelerate the development of novel heat dissipating formulations (HDFs). The successful candidate will work at the intersection of automation, machine learning, materials science and innovation.

Under the general direction of the Executive Director, the Research Computing Support Specialist provides research computing support, computer system administration, network administration, programming/scripting/software development (especially in Python) and high-level research technical support services for AC in the development of novel workflows for automated discovery of materials.

We are recruiting for a postdoctoral position focused on formulation development for mitochondrial transplantation that will involve the design of advanced formulations to improve the stability and enhance the efficacy of isolated mitochondria by developing automated, high-throughput preparation and characterization workflows.

This postdoctoral fellow will help develop machine learning frameworks and feature representations for colloidal materials, while supporting the development of automated platforms for data collection and synthesis.

This Staff Scientist (5–10 years of experience) will work in the AC's self-driving lab for polymers for materials science and biological applications.

This Staff Research Scientist (<3 years of experience) will work in the AC's self-driving lab for polymers for materials science and biological applications.

This postdoctoral fellow will advance AI-powered self-driving labs for automating multiscale mapping of human biological models, integrating machine learning and multi-omics to drive innovation in precision medicine.

This Senior Staff Scientist (10+ years of experience) will help lead the AC's self-driving lab for polymers for materials science and biological applications and oversee other staff in the lab.

Train to become the next generation of scientist. Apply to be an Acceleration Consortium RA, PDF, or graduate student at the University of Toronto or the University of British Columbia.