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Senior Research Scientist
3 months ago
Position Overview:
The University of Toronto is at the forefront of a groundbreaking initiative aimed at revolutionizing scientific exploration through the Acceleration Consortium (AC). This collaborative effort unites academia, industry, and government to harness cutting-edge technologies such as artificial intelligence (AI), robotics, and advanced materials science to create innovative self-driving laboratories (SDLs). These autonomous facilities are designed to rapidly develop the materials and compounds essential for a sustainable and resilient future, addressing critical global challenges including climate change and public health.
Role Summary:
As a Senior Research Scientist within the AI and Automation Lab, you will play a pivotal role in advancing the field of AI-driven autonomous discovery. Your expertise will contribute to the development of essential materials and compounds necessary for tackling some of society's most pressing issues.
Key Responsibilities:
- SDL and Automation Development: Collaborate with the AC community to identify and design the capabilities required for SDLs. This includes creating SDL plans, developing automated systems for material synthesis, and implementing custom software solutions.
- Research Direction: Independently establish research programs that utilize SDLs to support the objectives of AC faculty and industry partners. Engage in synthesizing and characterizing a wide array of candidate molecules, calibrating theoretical models, and predicting outcomes using computational tools.
- Project Management: Oversee research and development initiatives in collaboration with industry partners, ensuring alignment with project goals and requirements. Prepare and submit research proposals, and manage progress reporting.
- Collaboration and Communication: Work closely with a diverse team of experts, sharing knowledge and fostering a collegial environment. Present research findings at conferences and contribute to the preparation of manuscripts for peer-reviewed publications.
Qualifications:
Education: Ph.D. in a relevant field such as chemistry, materials science, or computer science.
Experience:
- 5 to 10 years of experience in accelerated research and development, particularly in organic synthesis and computational methodologies.
- Proven track record of managing significant research projects, including integration of AI and automation technologies.
- Strong background in collaborating with industry stakeholders on research initiatives.
Skills:
- Proficient in organic synthesis and analytical techniques.
- Expertise in programming and machine learning applications.
- Excellent communication skills, both written and verbal.
The University of Toronto encourages applications from all qualified candidates, with a commitment to fostering an inclusive research environment.
