Graduate Research Assistant applicants have rated the interview process at Columbia University with 2.5 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 90% positive. To compare, the company-average is 69.8% positive. This is according to Glassdoor user ratings.
Candidates applying for Graduate Research Assistant roles take an average of 27 days to get hired, when considering 22 user submitted interviews for this role. To compare, the hiring process at Columbia University overall takes an average of 32 days.
Common stages of the interview process at Columbia University as a Graduate Research Assistant according to 22 Glassdoor interviews include:
One on one interview: 30%
Skills test: 20%
Background check: 17%
Phone interview: 17%
Group panel interview: 7%
Drug test: 3%
Presentation: 3%
IQ intelligence test: 3%
Here are the most commonly searched roles for interview reports -
I applied through college or university. The process took 3 weeks. I interviewed at Columbia University in Jan 2022
Interview
Got the interview request from Professor around three weeks after I submitted my application (with my resume and writing sample of a class project). Got the offer one day after the interview.
Interview questions [1]
Question 1
Introduce yourself. Tell me about a time you failed to solve a problem. Introduce a piece of code that you think you wrote well. What do you want to achieve after joining the project?
I applied through the Columbia University federal work study job posting site. I interviewed and received an offer shortly after. The interview was short and typical. The process was simple and easy.
I applied through college or university. I interviewed at Columbia University (New York, NY)
Interview
Interview with project coordinator. Will ask about your previous research experience and why you are interested in the study. Usually one to two interviews, depending on the study and position.
Very encouraging and fair. I was asked relevant questions to my degree. My advisor provided me clear expectations for my program. I was asked questions related to DSP and ML.