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Université de Montréal Interview Questions
& Process

Real candidates share what happened, how many rounds they had,
and how the experience turned out.

Based on 14 interview experiences · FREE TO READ

2.1 Rounds average
Average Typical difficulty
85.7% Positive experience

Which role are you interviewing for?

6 roles · 14 reports

Candidate interview experiences

First-hand accounts from people who interviewed at Université de Montréal.

Showing 4 of 14
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Université de Montréal

Postdoctoral Researcher

Research · a year ago

Mid Average Positive experience Accept offer 1 round
Interview process
Recruiter call Offer
Interview formats
Behavioral

I sent in my CV and a cover letter that I'd made sure was a good fit for the job. Then, about two weeks later (cause of holidays and stuff), I had a Zoom call with two people who might be my supervisors, and then got the job offer the very next day.

Confirmed questions1 question
  • Regarding project and lab work, how effectively do you collaborate with team members?
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Université de Montréal

Postdoctoral Fellow

Research · more than a year ago

Entry Easy Positive experience Accept offer 2 rounds
Interview process
Recruiter call Presentation Technical screen Offer
Interview formats
Presentation Behavioral Technical

I sent an email with my CV and cover letter, and about 3 weeks later, I was contacted for an interview. The interview involved a brief 15-minute presentation followed by a 30-minute discussion covering my preferences, research interests, and future aspirations. The discussion concluded with a conversation about visa arrangements.

Confirmed questions1 question
  • Prepare a 15-minute presentation detailing your expertise.
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Université de Montréal

Research Assistant

Research · more than a year ago

Entry Average Positive experience Accept offer 4 rounds
Interview process
Recruiter call Technical screen Take home Onsite
Interview formats
Behavioral Technical Coding

It really depends on the lab, you know? So first, they wanted me to talk about a past project I worked on. Then there was this technical review where they asked me some basic questions about the field and had me write some math stuff on the whiteboard. After that, there was a coding test, they wanted me to code a model on the whiteboard to solve a problem. We had lunch, and then I chatted with the team about the future project and got to ask them questions.

Confirmed questions1 question
  • Can you tell me about some common regularization techniques used in neural networks?
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Université de Montréal

PhD Student

Research

Entry Average Neutral experience No offer 2 rounds
Interview process
Recruiter call Technical screen
Interview formats
Technical Coding Behavioral

First, you need to meet the eligibility criteria to be a PhD Student at the University of Montreal. The application is done online, and it's in French, which might be a challenge if you don't speak the language, but Google Translate can help. Make sure to follow the steps carefully and submit all required documents. After that, you'll need to apply to the specific lab or department you're interested in. I reached out to MILA via email, sending my resume, cover letter, research interests, and the names of professors I'd like to have as supervisors. If they're interested, they'll contact you to schedule an interview, which for me was on Skype.

Confirmed questions5 questions
  • Can you discuss your previous research and projects?
  • What is Bayes' theorem?
  • How do you calculate the variance of a distribution, including the formula and code?

Université de Montréal Interview Questions

Quoted word for word from Université de Montréal interview reports.

How do you calculate the variance of a distribution, including the formula and code?

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Can you tell me about some common regularization techniques used in neural networks?

Read reports

Formats, difficulty and experience

Across all 14 Université de Montréal interview reports.

Interview formats

Behavioral 43.8%
Technical 25%
Presentation 12.5%
Coding 9.4%
Other 6.2%

Interview difficulty

Easy 14.3%
Average 78.6%
Difficult 7.1%

Candidate experience

Positive 85.7%
Neutral 14.3%

Reports by job function

Research 11
Other 1
Marketing 1
Engineering 1