欢迎大家申请Polytechnique Montreal 计算机/软件方向(含开放职位Master/PhD/Postdoc)

PolyGIGLUID: 4117198

大家好！我是Polytechnique Montreal的一名老师。该学校位于Montreal，Quebec, Canada。我所在的系是计算机工程与软件工程（Computer Engineering and Software Engineering）。 Polytechnique Montreal是University of Montreal 附属的工学院。University of Montreal是加拿大排名靠前的大学。Polytechnique Montreal是全加拿大最好的工学院之一。由于是以法语为主的学校，我们的学校在中国的留学申请者中知名度不高，申请我们学校的中国人也相对较少。我发这个帖子的目的是向大家介绍我们学校以及解释一些误区。

学校介绍：

学校及校园介绍（法语配英文字幕）：https://youtu.be/ZstbMUWsd2A

研究生项目介绍（英文）：https://youtu.be/f9zo-2S1eRE

（如果无法打开视频，可私下联系我，我可以发送视频）

研究生项目申请：https://www.polymtl.ca/admission/en/graduate-studies

研究性项目的语言要求（英语或法语）：https://www.polymtl.ca/admission/en/graduate-studies/read-eligibility-conditions/5-language-requirements/51-research-based-masters-and-doctorate

（国际学生申请截止时间：秋季入学3月1号截止，抓紧时间哦；冬季开学6月1号截止）

误区澄清：很多人认为申请我们学校需要会法语。其实，我们学校的大部分研究生项目可以用英语完成。例如，在我们的计算机与软件工程系，大部分实验室的日常交流语言是英语。我们也有部分研究生课程是用英语教学。另外，我们的研究生也可以去蒙特利尔的其他大学（例如Mcgill University或者Concordia University）上一些英语课程。

下面我重点推荐计算机与软件工程系的一些导师以及人才需求：

Prof. Foutse Khomh (http://www.khomh.net)

- Postdoc in Artificial Intelligence / Machine Learning Engineering (or Software Engineering for AI/ML applications)

（后附该Postdoc职位的详细信息）

- Master/Phd in AI/ML engineering, mining software repositories, software quality assurance, quantum software engineering, cloud computing, or AIOps (AI for IT Operations)

Prof. Mohammad Hamdaqa (https://www.polymtl.ca/expertises/en/hamdaqa-mohammad/)

- Master/PhD in Blockchain, model driven software engineering, AI/ML engineering, cloud computing, quantum software engineering, software quality assurance, or IoT

Prof. Heng Li (https://www.hengli.org/research/)

- Master/PhD in AIOps (AI for IT Operations), software monitoring and observability, AI/ML engineering, quantum software engineering, mining software repositories, or sports analytics

以上这些职位都会提供奖学金支持来涵盖学费及基本的生活开支。请查看这些教授的网站去了解更多信息。若感兴趣，请通过邮件联系相应教授（附送你的简历和成绩单）。

你也可以在这里找到更多教授的信息：

https://www.polymtl.ca/expertises/en/recherche/expertises?f%5B0%5D=bundle%3Afiche_expert&f%5B1%5D=im_field_expertises_departement%3A15

======== Postdoc 职位 信息 ==========

Polytechnique Montreal and the University of Montreal are looking for a Postdoctoral Researcher to join their DEpendable Explainable Learning (DEEL) project. The project focuses on the robustness, interpretability, and certifiability of machine learning applications. The Postdoctoral Researcher will help carry out the following duties:

-        Design and conduct research projects.

-        Co-supervise master’s and Ph.D. students.

-        Organize team meetings.

-        Coordinate between professors and research students.

-        Publish papers and help organize conferences and workshops.

Qualifications:

-        Ph.D. or foreign equivalent in Computer Science, Machine Learning, Mathematics, or a related quantitative field.

-        A solid track record of publications on software engineering and/or machine learning.

-        Experience in research collaboration.

-        Experience in teaching and mentoring junior researchers.

-        Fluency in English.

Preferred qualifications:

-        Solid understanding of machine/deep learning algorithms and experiences of applying these algorithms.

-        Experience in software engineering studies, especially empirical software engineering studies.

-        Be passionate in research studies and ambitious to pursue academic positions.

Contract duration: One year (extensible up to three years)

Salary: 60,000 CAD per year.

Application: Please send the application materials to Pr. Foutse Khomh (http://www.khomh.net).

More information about the DEEL project can be found at https://www.deel.ai/