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Postdoctoral Research Associate - ATLAS Experiment at Large Hadron Collider
Posted Oct 1, 2026 · We last checked this listing on Oct 6, 2026
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Likely interview questions for this role
Written from this job description, not a generic list. Each one notes what the interviewer is really checking.
About your past
Tell me about a time you did detector operations or shift work. What happened when something went wrong?
What they are checking: Whether they take operations seriously and can respond calmly to problems.
How do you balance analysis work with service work like detector performance and upgrades?
What they are checking: Whether they value technical service work, which this group stresses.
Tell me about working in a large collaboration. How did you make your contributions visible?
What they are checking: Whether they can work in a huge team and still build a clear record.
Which Standard Model measurement or new physics search would you want to work on, and why?
What they are checking: Whether they have their own physics interests and can drive a project.
What would you do
A reviewer in your analysis group challenges a systematic uncertainty you're confident about. What do you do?
What they are checking: Whether they handle collaboration review well, with evidence rather than defensiveness.
About the work
Walk me through a physics analysis you've done, from event selection to the final result.
What they are checking: Whether they understand a full analysis chain, including backgrounds and systematics.
How do you estimate a background you can't simulate well?
What they are checking: Whether they know data-driven background methods and their limits.
What's your experience with silicon detectors, and what would you need to learn for the ITk Pixel upgrade?
What they are checking: Whether they can contribute to the group's upgrade work, a major focus at Argonne.
How does the ATLAS trigger work, and how would you check that a trigger isn't biasing your analysis?
What they are checking: Whether they understand Trigger/DAQ systems the group leads.
Where do you think machine learning helps most in ATLAS, and where does it create new risks?
What they are checking: Whether they think critically about ML in physics, like mismodeling and calibration.
How would you use HPC resources to speed up simulation or reconstruction?
What they are checking: Whether they can contribute to the group's HPC efforts for future computing needs.
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Practice this out loudThe full job description
As published by Argonne National Laboratory.