Canada – PhD or Postdoc in Computational Chemistry at Université Laval

University: Université Laval

Country: Canada

Deadline: Not specified

Fields: Chemistry, Chemical Engineering, Computational Science, Materials Science, Environmental Science

Are you passionate about leveraging computational methods to tackle urgent climate challenges and eager to accelerate your career through high-impact research in direct air capture technologies? If so, this immediate opening for a PhD student or postdoctoral fellow in Computational Chemistry at Université Laval may be the perfect opportunity for you.

About The University Or Research Institute

Université Laval, based in Quebec City, Canada, is one of the country’s oldest and most prestigious research universities. Renowned for its commitment to innovation, scientific advancement, and sustainability, Université Laval offers a vibrant academic environment in the Department of Chemical Engineering. The university is also known for fostering interdisciplinary collaborations and supporting high-impact research initiatives both nationally and internationally.

Research Topic and Significance

The primary focus of this position is the computational research and development of advanced sorbents for Direct Air Capture (DAC) of carbon dioxide. DAC is a crucial technology in the global effort to mitigate climate change, aiming to remove CO₂ directly from the atmosphere and contribute to net-zero emissions targets. By discovering and optimizing novel sorbent materials using computational tools, this research directly supports the advancement of sustainable solutions to one of the most pressing environmental issues of our time.

Project Details

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The project, titled “Computational R&D of Advanced Sorbents for Direct Air Capture,” is a collaborative effort involving Université Laval’s Department of Chemical Engineering, the University of Ottawa, and Natural Resources Canada (NRCan). The research utilizes state-of-the-art computational techniques, including Monte Carlo (MC) and Molecular Dynamics (MD) simulations, with potential integration of Density Functional Theory (DFT) and Machine Learning (ML) methods. The position offers immediate hiring due to time-sensitive funding and urgent project deliverables, with the possibility to start as early as tomorrow. The compensation package for postdoctoral fellows includes the Université Laval union package with full benefits (RRSP, health insurance), while PhD students will receive a standard funding package, with details to be discussed upon application.

Candidate Profile

This opportunity is ideal for candidates with the following background and skills:

– PhD or MSc degree in Engineering, Chemistry, or related fields

– Strong experience in Monte Carlo (MC) and Molecular Dynamics (MD) simulations

– Exposure to Density Functional Theory (DFT) and machine learning techniques is considered an asset

– Proficient programming skills and strong communication abilities in English

Due to current immigration processing delays, priority will be given to candidates who are already based in Canada and can start immediately. However, international applicants are still encouraged to apply and will be considered for future opportunities.

Application Process

To apply, please use the following link exclusively: https://wkf.ms/4mjvsac

For any questions regarding the position, applicants may contact abolfazl.alizadeh-sahraei.1[at]ulaval[dot]ca.

Conclusion

This is a rare opportunity to join a cutting-edge research project with immediate impact on climate technology and computational chemistry. If you are driven by scientific curiosity and motivated to contribute to the development of transformative environmental solutions, we strongly encourage you to apply. Be sure to follow similar opportunities and stay updated on the latest academic positions in your field.

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