Polytechnique Montreal, Department of Mathematics and Industrial Engineering
Position ID:
2486-POSTDOC [#26212]
Position Title:
postdoctoral researcher
Position Type:
Postdoctoral
Position Location:
Montreal, Quebec H3C 3A7, Canada
Subject Area:
Accuracy Quantification and Control in Scientific Machine Learning
Appl Deadline:
2025/02/27 11:59PM
finished (2025/01/22, finished 2025/08/30, listed until 2025/03/31)
finished (2025/01/22, finished 2025/08/30, listed until 2025/03/31)Position Description:
*** this position has been closed and new applications are no longer accepted. ***
Position Description
Project summary: The project aims at developing novel analytical tools and methodologies to quantify and control the accuracy of deep learning approximations for initial- and boundary-value problems. Specific objectives will be to establish a practical existence theory for multi-level deep learning, develop error estimates with respect to quantities of interest, design a framework for automatic multi-level deep learning with accuracy control, and assess the methodologies on practical test cases pertinent to scientific machine learning. Work environment: The successful candidate will work in the Department of Mathematics and Industrial Engineering at Polytechnique Montréal under the joint supervision of Profs. Serge Prudhomme (Polytechnique Montréal) and Simone Brugiapaglia (Concordia University). Polytechnique Montréal, affiliated to the Université de Montréal, is one of Canada's largest engineering schools, renowned for its extensive research scope in applied sciences and engineering. With state-of-the-art facilities, it stands as one of North America’s most vibrant hubs for scientific and technological innovation, attracting professors, researchers, and students from around the globe. We are committed to fostering equality, diversity, and inclusion within our team. Applications from all underrepresented groups, including visible minorities, women, indigenous peoples, persons with disabilities, and individuals of any gender identity are strongly encouraged. Qualifications: 1.Ph.D. in Mathematics, Engineering, Computer Science, or related fields, obtained within the last three years. 2.Relevant expertise in deep learning, numerical analysis, and scientific computing with a solid theoretical background. 3.Excellent command of English with demonstrated ability in scientific writing. Start date and duration: As early as possible. The position is for one year, extendable to two years, subject to performance and funding availability. Application: 1.Cover letter. 2.Research statement. 3.A current CV demonstrating research excellence and capacity for leadership. 4.Two letters of reference from academic supervisors or current employers. Review of applications will start on February 15, 2025, and will continue until the successful candidate is selected.Application Materials Required:
- Submit the following items online at this website to complete your application:
- Cover letter
- Curriculum Vitae
- Research statement
- Two reference letters (to be submitted online by the reference writers on this site )
- And anything else requested in the position description.
Further Info:
Département de mathématiques et de génie industriel
Polytechnique Montréal
Case postale 6079, succursale Centre-ville
Montréal (Québec) H3C 3A7
CANADA
Polytechnique Montréal
Case postale 6079, succursale Centre-ville
Montréal (Québec) H3C 3A7
CANADA