Candidates describe University of Dayton AI Research Scientist interviews as conversational and lab-specific, centered on past research and fit with the lab. Two reported no coding or algorithmic assessment.
$75K
Avg. Base Comp
$95K
Avg. Total Comp
2-3 rounds
Typical Rounds
6-13 weeks
Process Length
Reports on this role describe a conversational, research-centered process rather than a technical screen. Two candidates said there was no coding or algorithmic problem-solving, even with an AI Research Scientist title, so being able to discuss your own research in detail is the core preparation. One candidate was asked to walk through past projects, the methods used, and how they handled experiments that did not go as planned. Another was asked to dig into resume projects and reflect on strengths and weaknesses.
Entry can be informal. One candidate said they reached the process by contacting a specific PI directly, understood that to be how these positions are generally filled, and described no centralized interview process. They reported about three months from first contact to the final interviews. A different candidate described three rounds spread about two weeks apart over roughly six weeks, each 20-30 minutes: first a manager and a current team member, then the program director, then two PhD students from the lab. Interviewers in that process asked why the candidate wanted that lab and what problems excited them.
The structure clearly differs from one account to the next, so treat it as flexible. One candidate was also asked about lab safety and a five-year plan, which they took as a check on long-term commitment. Another found the job description vague and saw that as room to shape the role; that candidate reported an unofficial offer the same day, with official paperwork taking about a month. Read the lab's recent publications and prepare a specific answer for why you want to work there.
Synthesized from 9 candidate reports by our editorial team.
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Topics based on recent interview experiences.
Featured question at University Of Dayton
Explain what a p-value is to someone who is not technical
| Question | |
|---|---|
| Hurdles In Data Projects | |
| Using R Squared | |
| Encoding Categorical Features | |
| Bias - Variance Tradeoff and Class Imbalance in Finance | |
| Slow SQL Query | |
| Model Product Performance Degradation | |
| CNNs vs Intensity-Based Features | |
| Assumptions of Linear Regression | |
| Coefficients of Logistic Regression | |
| Last Element of a Singly Linked List | |
| Classification and Regression | |
| Training vs Validation vs Test Data | |
| Data Preparation for Imbalanced Data | |
| Vision Setting and Execution Strategy | |
| Multicollinearity in Regression | |
| Your Strengths and Weaknesses | |
| Stakeholder Communication | |
| Testing Constraints | |
| Data Cleaning Experiences | |
| Why Do You Want to Work With Us | |
| Evaluate News | |
| Credit Score Estimation | |
| Score Based on Review | |
| 2nd Highest Salary | |
| Merge Sorted Lists | |
| Experiment Validity | |
| Employee Salaries (ETL Error) | |
| Decreasing Comments | |
| Scrambled Tickets |
Synthesized from candidate reports. Individual experiences may vary.
One candidate began by contacting a specific PI directly, then had an initial conversation with the lab director about their research background and how it connected to ongoing projects. The lab wanted to see real interest in its particular research direction, not just technical skills. That candidate understood this outreach to be how positions are typically filled.
One candidate described two rounds with senior research staff and peers. The first covered research experience, publications, and methods. The second covered troubleshooting failed experiments, lab safety, and a five-year plan. Another candidate described three 20-30 minute rounds with a manager, the program director, and two PhD students, all centered on why that lab and which problems interested them.
Two of the three candidates reported offers. One received an unofficial offer the same day as the interview, though the official paperwork took about a month. The other described a process of roughly six weeks. The third candidate did not report an outcome and described about three months from first contact to final interviews.
