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Postdoc at McGill: machine learning for material ... (No replies)
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Applications are invited for postdoctoral positions in the area of theoretical and computational modeling of materials and molecules.
An emphasis of the research project is on the development of machine learning methods, but a successful applicant can also apply these newly developed methods to design semiconductors and materials for energy storage. In addition to data-driven methods, large-scale first-principle atomistic simulations is a significant part of the program.
Required qualifications:
* Ph.D. in physics, chemistry, computer science, applied mathematics, materials science or another relevant discipline,
* Established track record in developing statistical or computational models of real-life phenomena,
* Experience with high-performance computing platforms,
* Programming skills.
Desired qualifications:
* Knowledge of machine learning methods and especially their application to model materials and molecules;
* Knowledge of numerical methods and algorithms, particularly optimization;
* Knowledge of electronic structure methods and molecular dynamics techniques;
* Experience using software modeling for ab initio simulations;
* Record of successful collaboration with experimental groups or across disciplines;
* Excellent oral and written communication skills.
McGill University is consistently ranked among the top global universities. The research that takes place here is world-renowned and of the highest quality. Our research program is interdisciplinary: we utilize methods of quantum and statistical mechanics, modern tools of applied mathematics and recent achievements in high-performance computing to make impact in the fields of chemistry and materials science. Through the ongoing collaborations, the members of our group will have an opportunity to interact with local and international experts in these fields. We are located in downtown Montreal - one of the most vibrant scientific, cultural and business centers in North America.
Offer: The initial appointment is for one year and will be extended annually based upon satisfactory job performance. The initial salary depends on candidate’s experience. The evaluation of applications will commence immediately and continue until the position is filled. Shortlisted candidates will be asked to complete a short skill test and then will be contacted individually for Skype/Zoom interviews.
Please send your application with a CV to Prof. Rustam Khaliullin at [email protected]