Salaries of PhD students, postdocs, and professors in Europe and Switzerland

Salaries of PhD students, postdocs, and professors in Europe and Switzerland. Numbers are in Euro. Special attention for future students and faculties 😜 https://t.co/SkTa9zQb45 pic.twitter.com/pRDhLHDb5K

— Amir Zamir (@zamir_ar) December 15, 2020

Job Application Summary After PhD

After spending four years of Ph.D, it is again time for starting a new journey, which reminds me the time like in South Korea after my master's degree. At that time, I applied around 20 jobs and ended up with Hyundai. However, I'd like to work in research environment rather than management job, and pursued the PhD. Therefore, the goal of this time for job seeking is to find a research job in an industry lab or academic position.

• Academic
• UCD Postdoc RecSys group, Ireland -> Interview -> Offer

• Industry
• IBM NLP, Australia -> Phone Interview (22/03) -> Final Interview (24/04) -> No Update (20/06)
• Bell lab, Dublin -> Phone Interview (08/05) -> Final Interview (28/05) -> Offer (20/06)
• Telefonica Internship -> Interview -> Offer
• could not go since I'm affiliated to the Uni. until August while the offer is until Nov.
• it's really a pity to me as internship is a unique opportunity for a student...
• Amazon UK -> Interview#1
• IBM Research Intern, Ireland
• IBM U.S.
• Spotify User Research, London, UK 

IBM research postdoc interview questions (Melbourne)

This post is a summary of a postdoc role interview process for IBM research in Melbourne.

Screening Interview (45mins)

Normal questions:

• Why did you go to the current institution?
• What is your preference of IBM (B2B) over B2C companies such as Facebook etc.?
• Are you willing to move to Australia?
• Possible start date if accepted?
• What do you know about IBM?

Tech questions:

• About my research questions?
• What's the problem and how to resolve it?
• What kind of DL models have you experienced?
• Why LSTM was invented?
• When to use CNN and LSTM?

1 day interview, 6 rounds (tech+hr), need to prepare 45 mins talk on any topic.

Normal or behaviour questions:

• What do you see the difference between industry and academic labs?
• Describe experience about coping with difficulties on some projects?
• If you have enough money, what are you going to research?
• What do you feel working alone during your PhD?
• Do you have any experience on reaching for help for dealing with some problem?
• How do you end up with your research topic, % of your input?
• What is your expected career path in the next 5 years?

Tech questions:

• Why NN works?
• How does NN lean weights/parameters?
• How does your data handle bias?
• Describe the cycle of a machine learning model development
• How do you see your field or machine learning will be headed for next few years?
• How do you manage/cooperate with others to meet the deadline?
• Compare different loss funcitons
• Compare different activation functions
• Why did you choose this programming language for your project?

* The HR did not give me the final result after several months, and I got the result after starting my job several months...