Practice interviews

Can this program support Maya’s research?

Maya wants to test where missing readings make city heat maps unreliable.

The question

Fictional Grove admits a cohort that rotates through labs before matching supervisors. Fictional Hill requires a professor to commit to primary supervision before formal doctoral admission. Maya has experience cleaning sensor records and wants training in map validation.

Invented Two studies Maya read
  • Grove labIt checked model estimates against readings from sensors held out of training. The paper reported errors by neighborhood.
  • Hill labIt documented that sensors lost more readings on the hottest afternoons.

“Explain why a group can support the question and what you need to confirm.”

A strong answer, step by step

Open each step in turn. This is one strong answer, not the only one.

Step 1: When is supervision confirmed?

What would you do here? Open the move you’d make.

  • Check rotation access at Grove and primary supervision at Hill

    The strong move. This uses the two stated routes.

  • Ask both programs for an advance commitment from one professor

    Tempting, but it misses something. That skips the purpose of Grove’s rotation and matching process.

  • Wait for admission before discussing supervision at either program

    Tempting, but it misses something. That misses Hill’s required commitment before formal admission.

See how a strong candidate says it

“I would ask Grove about choosing rotations and later matching. At Hill, I would confirm which professor can supervise my project before formal admission.”

What a strong candidate could say

Why it works: The timing of the commitment depends on the program’s published process.

Step 2: What question would you bring to Grove?

What would you do here? Open the move you’d make.

  • Ask how heat-related missing readings change the held-out check

    The strong move. The question uses the lab’s published method to test a concrete risk.

  • Ask which lab has the most advanced heat-map model

    Tempting, but it misses something. A model ranking gives little information about testing missing readings.

  • Offer to reuse the study’s aggregate error unchanged

    Tempting, but it misses something. The existing estimate does not answer how a new missingness pattern affects the map.

See how a strong candidate says it

“Grove compared estimates with held-out readings by neighborhood. Could we repeat that check after masking more readings on the hottest afternoons? I can prepare the sensor records and would need training in the validation design.”

What a strong candidate could say

Why it works: This connects a specific method, a testable change and what the candidate needs to learn.

Step 3: How does Hill’s path change?

The Hill professor who wrote the sensor-failures study cannot supervise new students this cycle.

What would you do here? Open the move you’d make.

  • Check other eligible Hill supervisors and keep the Grove inquiry open

    The strong move. This changes the Hill plan without assuming that Grove has promised a lab.

  • Treat the Hill professor’s interest as a commitment

    Tempting, but it misses something. The professor lacks capacity for this intake.

  • Wait a full cycle for the original Hill professor

    Tempting, but it misses something. Waiting may be reasonable if no other group fits. The candidate can first check which other professors can supervise this topic.

See how a strong candidate says it

“I would ask Hill which other faculty members can supervise work on sensor failures and whether they have capacity. I would keep exploring Grove’s separate rotation path.”

What a strong candidate could say

Why it works: A strong topic match and an available supervisor are separate facts.

Step 4: What does Hill still need?

Another Hill academic offers occasional calibration advice. They cannot take primary supervision. The department has yet to confirm a primary supervisor.

What would you do here? Open the move you’d make.

  • Confirm a primary supervisor and the formal approval path

    The strong move. This checks the missing commitment before proceeding.

  • List the calibration academic as primary supervisor

    Tempting, but it misses something. Their offer covers occasional meetings and does not meet Hill’s requirement.

  • Ask the calibration academic to circulate the proposal

    Tempting, but it misses something. That could identify interest. The case still needs a professor who can commit to primary supervision.

See how a strong candidate says it

“I would ask which eligible professor can commit to primary supervision and who confirms the formal next step. I would explain what the calibration academic could contribute separately.”

What a strong candidate could say

Why it works: Occasional methods advice can support the project. Hill still needs a primary supervisor.

The answer, in short

Decision
Connect the research question to a method and confirm supervision through the program’s route.
Because
The research fit makes a conversation useful. Capacity and authority determine whether it can proceed.
What would change it
A confirmed eligible Hill supervisor would reopen the individual doctoral route for Maya.

Common traps

  • Check the timing of supervisor commitment.
  • Ask who can supply methods advice and who can supervise the project.

Check your answer

  • I identified each route.
  • I connected a published method to my question.
  • I revised the plan when capacity changed.
  • I asked who can confirm primary supervision.

Last reviewed Nov 11, 2026