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Design Research Assistant Jobs in Indiana (NOW HIRING)

West Lafayette Undergraduate Research Assistant - University-Based Retirement Community (UBRC ... design features, intergenerational engagement, and perceived well-being within a university-based ...

Structural Engineering Intern (Summer)

Indianapolis, IN · On-site

$16 - $20.75/hr

... team with project design and construction documents while gaining hands-on experience in a ... Support structural calculations, engineering reports, and project research.Assist with reviewing ...

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Design Research Assistant information

What is a design research assistant?

Design Research Assistants are professionals who support design teams by conducting research to inform and guide the design process. Their responsibilities typically include gathering user insights, analyzing data, assisting in usability testing, and preparing reports that help designers create user-centered products or experiences. They often use both qualitative and quantitative research methods and work closely with designers, researchers, and other stakeholders. This role is essential for ensuring that design solutions are based on real user needs and evidence.

How does a design research assistant typically contribute to collaborative projects within a design team?

As a Design Research Assistant, you play a vital role in supporting collaborative projects by gathering user insights, conducting surveys or interviews, and synthesizing findings for the design team. You often work closely with UX/UI designers, product managers, and other researchers to ensure that user perspectives are integrated into the design process. Your ability to communicate research findings clearly and contribute to brainstorming sessions helps drive informed design decisions and fosters a user-centered approach throughout the project.

What are the key skills and qualifications needed to thrive as a design research assistant, and why are they important?

A Design Research Assistant should have a solid background in user research methods, data analysis, and design principles, often supported by a degree in design, psychology, or a related field. Familiarity with qualitative and quantitative research tools, survey platforms, and design software like Adobe Creative Suite or Figma is typically required. Strong communication, organization, and critical thinking skills help them effectively collaborate and synthesize insights. These abilities are crucial for delivering actionable research that informs and improves design solutions.

What is the difference between Design Research Assistant vs User Experience Researcher?

AspectDesign Research AssistantUser Experience Researcher
CredentialsTypically a bachelor's degree in design, psychology, or related fieldsUsually a bachelor's or master's degree in human-computer interaction, psychology, or design
Work EnvironmentAssist in research tasks within design teams, often in agencies or corporate settingsConduct user research to improve digital products, often in tech or software companies
Employer & IndustryDesign firms, product companies, agenciesTech companies, software developers, digital agencies

While both roles involve user research, a Design Research Assistant typically supports research activities within design projects, focusing on gathering insights to inform design decisions. A User Experience Researcher conducts in-depth user studies to enhance digital experiences, often taking on more independent research responsibilities.

What are popular job titles related to Design Research Assistant jobs in Indiana?

For Design Research Assistant jobs in Indiana, the most frequently searched job titles are:

What cities in Indiana are hiring for Design Research Assistant jobs?

Cities in Indiana with the most Design Research Assistant job openings:

Infographic showing various Design Research Assistant job openings in Indiana as of August 2026, with employment types broken down into 84% Full Time, and 16% Part Time. Highlights an 82% In-person, 8% Hybrid, and 10% Remote job distribution.

Assistant Research Professor, Lucy Family Institute for Data & Society

Notre Dame, IN • On-site


University of Notre Dame
Colleges, Universities, and Professional Schools • 5 - 10K employees

7.4

Company rating: 7.4 out of 10

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Full-time

Posted 26 days ago


Job description

Description
The Lucy Family Institute for Data & Society at the University of Notre Dame seeks an assistant-level research professor (non tenure-track). We prefer candidates with strong expertise in advanced causal inference and computational social science methods including econometric modeling of observational data, survey design, randomized control trials and digital experiments, machine learning (ML) to construct ML-based regressors, and causal ML. The faculty member will be part of a new digital engagement for learning analytics research group within Lucy. As such, research experience with digital engagement measurement, online gaming analytics, and AI-enabled policy impact analysis will be beneficial. Given the policy-oriented learning translation analytics aspect of some of the research, ideal candidates will also have a robust track record of teaching excellence demonstrated through multiple years and sections of lead-instructor course delivery (with high teaching evaluations). The research faculty will be working closely with Professors Ahmed Abbasi (Director of the Institute), Rick Johnson (Associate Director of the Institute), and Sugana Chawla (Data Science Education Program Director).
The ideal candidate would have evidence of excellence in research and scholarship. The ideal candidate would have also demonstrated an interest in interdisciplinary work, as evidenced through projects or research publications.
Expectations
  • Help establish a research program for robust measurement and causal inference in digital settings including but not limited to online video games.
  • Publish in top venues, and/or pipeline evidence such as revise-and-resubmits at top academic journals (e.g., UTD-24, Economics, Science/Nature/PNAS, etc.);
  • Pursue interdisciplinary research by building collaborations;
  • Mentor or co-mentor graduate and undergraduate students;
  • Lead and collaborate on research grants;
  • Teach / co-teach courses on related topics;

Qualifications
  • Requires a PhD in with methodological expertise in causal inference via econometric modeling, machine learning, analysis of digital trace and survey data, and experiment design.
  • Research experience (projects, papers) related to digital engagement, online gaming telemetry data, and analysis of policy impact and implications, with a track record of experience beyond doctoral studies in the domain.
  • Strong demonstrated teaching skills.

Application Instructions
Please submit a CV, a research statement, teaching statement, and three confidential letters of recommendation via Interfolio.


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