Careers

1. Inorganic Cathode Materials for Lithium-Ion Batteries (experiments)

We focus on industrially-relevant NMC cathodes and seek to improve them for long-term stability under high-voltage operation.

Demonstrated expertise in the field of Li-ion cathodes is a must, including material synthesis and characterization, battery testing, a deep understanding of battery operation, and microscopic mechanisms of ion transport and cathode-electrolyte interactions.

Key Responsibilities:

• Synthesize and characterize new inorganic cathode materials using various analytical and electrochemical techniques.
• Collaborate with a multidisciplinary team to integrate these materials into next-generation Li-ion batteries.
• Analyze data, prepare scientific reports, and present findings at conferences and in peer-reviewed journals.

Qualifications:

• A Ph.D. in Materials Science, Chemistry, Chemical Engineering, or a related field, with a focus on battery materials.
• Strong background in inorganic chemistry, electrochemistry, and materials characterization techniques.
• Proven track record of research in the field of Li-ion batteries, demonstrated through peer-reviewed publications and presentations.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work collaboratively in a team environment and independently on research projects.

Application Process: Interested candidates should submit the following documents by email to o.voznyy[at]utoronto.ca:

• Detailed CV
• Link to your Google Scholar profile directly in the email body
• Sample publication about Li-ion cathodes
• Contact information for at least two references

Application Deadline: December 15, 2023

Location: University of Toronto Scarborough,1065 Military Trail, Scarborough (an hour from downtown Toronto)

Competitive salary!

The University of Toronto is committed to upholding the values of equity, diversity, and inclusion in our living, learning and work environments. In pursuit of our values, we seek members who will work respectfully and constructively with differences and across levels of power. We actively encourage applications from members of groups experiencing barriers to equity. Read our full equity statement here: https://governingcouncil.utoronto.ca/secretariat/policies/equity-diversity-and-excellence-statement-december-14-2006

2. Machine learning for organic and inorganic materials discovery (theory)

Position Overview: We are pleased to announce an opening for a Postdoctoral Research Position at the University of Toronto Scarboeough, focusing on the discovery of organic and inorganic materials using machine learning techniques. This position is ideal for a candidate who is passionate about combining the fields of materials science and artificial intelligence to innovate in material discovery.

Key Responsibilities:

• Develop and implement machine learning algorithms for the prediction and optimization of organic and inorganic material properties, in particular, electronic structure.
• Collaborate with experimental researchers to validate predictions and synthesize novel materials.
• Process and analyze large datasets to identify trends and correlations in material properties.
• Contribute to the creation of a materials database, integrating data from various sources and computing your own data with DFT.
• Publish research findings in high-impact journals and present at international conferences.
• Stay abreast of advancements in machine learning, materials science, and computational methods.

Qualifications:

• A Ph.D. in Materials Science, Computer Science, Computational Chemistry or Physics, or a related field, with a focus on machine learning for materials discovery.
• Demonstrated experience in machine learning, data science, and statistical analysis.
• Proficiency in Python and familiarity with PyTorch and TensorFlow.
• Experience in computational materials science using DFT is highly desirable.
• Demonstrated ability to conduct independent research and work collaboratively in a team environment.

Application Process: Interested candidates should submit the following documents by email to o.voznyy[at]utoronto.ca:

• A detailed CV
• Link to your Google Scholar profile
• Contact information for at least two references

Application Deadline: December 15, 2023

Location: 1065 Military Trail, Scarborough

The University of Toronto is committed to upholding the values of equity, diversity, and inclusion in our living, learning and work environments. In pursuit of our values, we seek members who will work respectfully and constructively with differences and across levels of power. We actively encourage applications from members of groups experiencing barriers to equity. Read our full equity statement here: https://governingcouncil.utoronto.ca/secretariat/policies/equity-diversity-and-excellence-statement-december-14-2006