A research-internship introduction should connect a question you care about with the methods you are ready to learn or use. Explain your preparation honestly. You do not need to present a student exercise as published research.

This guide helps you open a conversation with a potential supervisor. It is not a proposal for a particular field, and it makes no claim about a real laboratory's selection process.

Begin with a focused interest

A narrow question is easier to discuss than “I am interested in all research.” Describe the topic, what you have read or tried and why the uncertainty interests you. Check the group's public work before referring to it.

Do not claim to have read a paper fully if you only saw its abstract. It is acceptable to say which part you understood and which part you would like to explore.

What preparation is worth mentioning?

  • A relevant course or method.
  • A reproducible exercise with stated inputs.
  • A careful reading or comparison you completed.
  • A limitation you noticed and investigated.

Keep methods and findings separate. Learning to clean a small dataset shows preparation, but it does not establish a broad scientific conclusion.

Illustrative student introduction

Fictional sample: “I am studying computing and am interested in how data quality affects an analysis. In a small class exercise, I compared summaries before and after checking missing values and recorded the steps so another student could repeat them. The exercise did not establish a general result, but it made me want to learn more about reliable analysis methods. I am interested in this internship because your group's public work includes careful evaluation of data-driven systems.”

Replace the course, exercise and group connection with accurate facts. Verify the supervisor's actual work before making that final connection.

How do you discuss uncertainty?

State what the exercise can and cannot show. A small sample may reveal a coding mistake without supporting a general claim about a population. An unexpected result may need replication or a better design.

Do not hide a limitation simply because the interview is competitive. Clear boundaries show that you understand why methods and evidence matter.

What follow-up should you prepare?

Be ready to explain the input, method, check and limitation of one exercise. If permitted, bring a short reproducible notebook or report with synthetic or public data. Keep citations accurate and separate your work from copied starter material.

If you do not know a method the group uses, say so and explain your relevant foundation. Avoid listing tools you cannot discuss beyond their names.

What should you ask the supervisor?

Ask about the internship's typical task, supervision, expected preparation and how progress is reviewed. Use the public information already available so you do not spend the whole conversation asking questions answered on the project page.

Rehearse the introduction with a listener who can challenge one claim. If you can explain the evidence and acknowledge its limit without becoming defensive, the opening is ready for a thoughtful research conversation.

References and next practice

careerservices.fas.harvard.edu — career · careers.umd.edu — preparation

Browse interview topics · Practise a question in Interview Challenge · Tell Me About Yourself: An Answer Framework You Can Adapt