Where a physics degree actually leads
A meaningful share of physics graduates go on to research-science roles, staying in a lab as a research assistant or moving toward a PhD, often via a postdoc-adjacent research position first. A second group moves into engineering-other roles, applying physics training to applied problems at hardware, aerospace, or instrumentation companies.
A third group, often the largest outside academia, moves into data-analytics or quantitative finance roles, where the same modeling and estimation skills that show up in physics coursework translate directly into pricing, risk, or data science work.
What a first physics interview actually looks like
Research interviews ask about your thesis or lab project in real detail: what you measured, what broke, how you'd redesign the experiment with more time. Quantitative and finance interviews lean on estimation questions, like sizing an unfamiliar market or reasoning through a probability problem out loud, since interviewers care more about your reasoning process than a clean final answer.
Engineering-adjacent interviews mix a project walkthrough with applied technical questions specific to the hardware or system you'd be working on. Across all three, interviewers ask you to reason from first principles on the spot, which is the one habit that carries across every version of this interview regardless of the specific role.
How to prep
Which interview types to practice
The technical interview type is the strongest match for quantitative and estimation-style questions, since it pushes you to reason through a problem rather than recall a fact. The resume-based type works best for research-track interviews, where your specific thesis or lab project carries most of the conversation.
The job-description-based type is worth adding once you know which of the three tracks you're targeting, since a hardware engineering posting and a quantitative analyst posting will pull very different follow-up questions from the same physics background.
Quantitative interviews sometimes follow an estimation question with a harder version of the same problem once you've answered, checking whether your reasoning holds up under a changed assumption rather than only the first pass.
Frequently asked questions
Do physics interviews always include estimation questions?
Not always, but they're common for quantitative and finance-adjacent roles, where an interviewer wants to see how you structure an unfamiliar problem out loud. Research and engineering interviews are more likely to ask about a specific project instead.
How much does my thesis matter in a research interview?
A lot. Research interviews usually spend real time on your thesis or lab project, asking what you measured, what didn't work, and what you'd change, so it's worth being able to walk through it clearly to someone outside your subfield.
What's the difference between an engineering-adjacent and a quantitative finance interview?
Engineering-adjacent interviews mix a project walkthrough with applied technical questions about a specific system or hardware. Quantitative finance interviews lean more on estimation and probability reasoning, often with a case that has no single correct answer.
Which interview type should I use to practice?
Use the technical type for estimation and quantitative reasoning practice, and the resume-based type if you want an interviewer to dig into your specific thesis or research project the way a real panel would. Most candidates benefit from both, since few employers test only one side of the fork.
Related pages
Practice an estimation or research interview
Run a technical or resume-based AI interview to rehearse reasoning through an unfamiliar problem or defending your research project.