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Date: Mon Jan 13 15:24:15 2020
Subject: 20.01.13 PhD student in Theoretical Chemistry and Machine Learning
The QuNB group of Stijn De Baerdemacker (Canada Research Chair, Tier 2 
in Theoretical Chemistry) from the Department of Chemistry at the
University of New Brunswick (Canada) has a position for a PhD student 
available starting May or September 2020.

Research in the QuNB group is situated around the development of 
electronic structure methods for finite-size and strongly correlated
quantum many-body systems. Major research themes consist of geminal theory,  beyond-integrability methods, density-matrix approaches,
machine-learning methods, among others. More information on our research 
projects can be found on the website of the group

Solving the quantum many-body problem remains one of the key challenges 
for the future. Many of the solutions to todays technological, medical 
and societal problems will be found in tomorrows smart devices, molecules
and materials. Therefore, it is of utmost importance that we develop those
theoretical and computational tools that will allow us to understand and 
predict the quantum properties driving those materials. Machine Learning 
methods are emerging as a new tool to provide accurate predictions for 
quantum mechanical observables. However, the inner workings of these 
methods however often remain mysterious, as it is not always clear how 
they arrive at a certain prediction. The purpose of this PhD project is 
to investigate the interpretability of Machine Learning methods for 
quantum chemistry. The PhD student will be directly involved with the 
development of (a) new Machine Learning methods for the quantum many-body 
problem, and (b) the tools to grasp a better understanding of the inner 
workings of these methods. The project will combine fundamental 
theoretical work with the implementation into efficient computational 
codes. The student will be able to enjoy access to high performance 
computing facilities and a strong international collaboration
in North America and Europe.

Interested applicants should be holder of a degree in chemistry, 
physics, mathematics or computer science, and be highly motivated to 
work in an interdisciplinary environment. Strong knowledge of quantum 
many-body theory, quantum chemistry or machine learning is an asset.
Preliminary inquiries should be directed to 
and should include a motivation letter and current CV. Formal 
applications must be processed and completed online at Applications will be reviewed until the position 
is filled.
Please contact dr. Stijn De Baerdemacker ( 
before formally applying
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Modified: Mon Jan 13 20:24:15 2020 GMT
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