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Postdoctoral Position in Catalyst Development fo ... (No replies)
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We are looking for to fill a postdoctoral position to apply and develop machine learning algorithms
in catalysis to discovering new materials for electrochemical CO2 reduction reaction. This project
is in collaboration between University of Calgary, National Research Council of Canada and
Carnegie Mellon University. We seek applications from qualified and motivated scientists with a
passion for clean energy and interdisciplinary research. Successful candidates will be required to
work within a team environment and so excellent communication skills and the ability to work
effectively with a diverse group of interdisciplinary researchers is a must.
Qualifications:
1. A Ph.D degree in Chemistry, Physics, Chemical Engineering, Materials Science, Computer
Science or related fields.
2. Previous experience and knowledge of the most common machine learning tools and
techniques (e.g. Scikit-learn, TensorFlow) as well as computational chemistry/physics and
density functional theory codes (e.g. VASP, Quantum Espresso).
3. Good communication skills, ability to work independently and in a team environment, and
strong interest in computational catalysis are essential
Postdoctoral position offers a stipend of $50,000 CAD/year for 2 years, plus benefits, travel and
computer allowance. Postdoctoral fellow will be expected to apply for major funding
opportunities they are eligible for (e.g. NSERC, Killam, AITF, Banting).
Application details:
Applications should consist of a current CV, a list of 2-3 referees with contact information and a
cover letter indicating your background, skills and availability. Documents should be emailed in
a single PDF file to Dr. Samira Siahrostami at [email protected]
The position is available immediately and the search will continue until the team is assembled.
In assembling the teams, aggressive diversity and equity targets are in place and so
applications from under-represented groups are especially encouraged.