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Reizend Private Limited in Thiruvananthapuram invites applications for a curious, research‑oriented role blending psychology with AI adoption. You will translate research findings into practical interventions and measure their effectiveness in real work settings.
Excellent written and verbal English, basic Excel, and a passion for understanding how engineers think and behave toward AI are essential. Final-year students are welcome; full-time employment in Technopark.
We are looking for a curious, research-oriented individual with a background in Psychology, Behavioural Science or Cognitive Science who can turn research findings into practical solutions.The role focuses on understanding how engineers think, feel and behave toward AI, identifying the barriers to AI adoption, and helping turn AI usage into a consistent daily habit.
A background in any one of these fields is sufficient; a combination of all three is not required. Mindset matters most.
We are looking for someone who does not stop at research or theoretical explanations. You should be able to translate findings into actionable interventions, help implement them, measure their effectiveness and draw clear, evidence-based conclusions.
Assist in designing and conducting behavioural assessments, including scoring and interpreting results using appropriate methods.
Identify the fears, doubts, beliefs and motivations that influence how different engineer personas respond to AI.
Help document behavioural patterns and translate assessment findings into actionable insights.
Study how engineers learn, interact with and use AI tools in their daily work.
Explore when engineers trust, question, resist or ignore AI-generated outputs.
Identify patterns in learning, decision-making and problem-solving that influence AI adoption.
Help design and implement persona-specific interventions to improve AI adoption.
Support experiments and practical initiatives that encourage consistent AI usage.
Track behavioural changes over time using observations, feedback and usage data.
Compare outcomes before and after interventions and recommend improvements based on the findings.
Convert observations into clear hypotheses that can be tested using data.
Support the implementation of research findings
Document results, identify what works and what does not, and communicate clear, decision-ready conclusions.
Refine approaches when evidence shows that an intervention is not effective.
A bachelor's or master's degree in any one of the following fields (Final-semester students from the above disciplines are welcome to apply.)
Research-to-Action Mindset