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Eye Tracking Jobs in Indiana (NOW HIRING)

Motorola

$140K - $150K/yr

Department Overview Blue Eye is a high-growth leader in the remote video monitoring industry. We ... Detail Obsession: Exceptional organizational skills with a focus on tracking complex renewal ...

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How much do eye tracking jobs pay per year?

As of May 31, 2026, the average yearly pay for eye tracking in Indiana is $118,197.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,300.00 and $138,900.00 per year, depending on experience, location, and employer.

What is an Eye Tracking job?

An Eye Tracking job involves using specialized technology to monitor and analyze eye movements, often to study user behavior, improve product design, or assess cognitive functions. Professionals in this field work in areas like UX research, psychology, marketing, and healthcare. They use eye-tracking hardware and software to gather insights on where and how people look at screens, products, or environments. This data helps businesses and researchers optimize designs, improve accessibility, and enhance user experiences.

What are the key skills and qualifications needed to thrive in the Eye Tracking position, and why are they important?

To thrive in an Eye Tracking role, candidates typically need expertise in experimental psychology, human-computer interaction, or cognitive science, often supported by a relevant bachelor's or master's degree. Familiarity with eye-tracking hardware (such as Tobii, SMI, or EyeLink), data analysis software, and statistical tools like SPSS or MATLAB is essential. Strong attention to detail, effective communication skills, and the ability to work collaboratively across disciplines are highly valued soft skills. These competencies are crucial for designing, conducting, and interpreting eye-tracking studies that inform product development and user experience improvements.

What are common challenges faced by professionals working in Eye Tracking research or analysis roles?

Professionals in Eye Tracking roles often face challenges such as ensuring accurate calibration of equipment for diverse participant groups, managing large and complex datasets, and interpreting subtle gaze patterns in meaningful ways. Additionally, they must stay up-to-date with rapidly evolving technology and software used for data collection and analysis. Collaborating closely with UX designers, engineers, and researchers is common, and effectively communicating insights is key to driving actionable outcomes. These challenges make the role dynamic and require adaptability, continuous learning, and strong problem-solving skills.
More about Eye Tracking jobs
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Eye Tracking jobs near you
Postdoctoral Researcher

Postdoctoral Researcher

Indiana University

Bloomington, IN • On-site

$60K/yr

Full-time

Posted 8 days ago

Job description

Posting Details
Position Details
Title
Postdoctoral Researcher
Appointment Status
Non-Tenure Track
Department
IU Bloomington Psychological & Brain Sciences
Location
Bloomington
Position Summary
Postdoctoral Researcher - AI-Augmented Decision Science
Indiana University Bloomington
Department of Psychological & Brain Sciences and Luddy School of Informatics, Computing, & Engineering
Position Overview
The Postdoctoral Researcher will join a new interdisciplinary project developing an AI-augmented decision science platform to understand and model high-stakes human judgments. This position will be jointly mentored by Dr. Tim Pleskac (cognitive and decision modeling) and Dr. David Crandall (computer vision and AI). The postdoc will lead the development, integration, and testing of computational models of decision making that incorporate dynamic scene features, pose tracking, and eye-tracking data collected from an immersive police shooting simulator.
The position is based at Indiana University Bloomington, with opportunities for collaboration with Michigan State University, and IU's network in cognitive modeling, AI, and human-AI decision research.
This postdoctoral appointment is full-time and on-campus.
Job Duties
80% - Research
  • Lead development of computational models of judgment and decision making, including evidence accumulation models, social drift-diffusion models, and hybrid models integrating computer-vision-derived features.
  • Build and test pipelines for pose detection, object tracking, optical-flow analysis, and gaze-scene alignment, in collaboration with computer vision researchers.
  • Analyze large multimodal datasets (simulator videos, eye-tracking videos, joint motion trajectories).
  • Lead and co-author manuscripts and conference presentations.

10% - Project Management
  • Work directly with the PIs to ensure efficient progress toward research objectives.
  • Coordinate research tasks across undergraduate RAs, graduate students, and collaborating labs.
  • Oversee data processing workflows, documentation, and reproducibility pipelines.

10% - Other Duties
  • Assist with dissemination activities, lab meetings, mentoring of junior researchers, and other project-related tasks as needed.

Required Qualifications
  • Ph.D. in Psychology, Cognitive Science, Computer Science, Data Science, Neuroscience, or a related field by the start date.
  • Demonstrated expertise in computational modeling of human behavior or computer vision / machine learning.
  • Proficiency in Python, MATLAB, or R.
  • Strong quantitative and analytic skills.

Preferred Qualifications
  • Experience with evidence-accumulation models (DDM, sequential sampling, Bayesian models).
  • Experience with computer vision tools (e.g., MediaPipe, OpenPose, homography estimation, optical flow).
  • Experience with eye-tracking data collection or analysis.
  • Familiarity with deep learning frameworks (PyTorch, TensorFlow).
  • Experience working with multimodal datasets (video, gaze, motion, behavioral responses).
  • Background or interest in decision making under uncertainty, social decision dynamics, or human-AI interaction.

Work Environment
The postdoc will be embedded in two leading research ecosystems:
The IU Behavioral Science Lab (Psychological & Brain Sciences)
A major center for judgment and decision-making research, evidence accumulation modeling, and computational cognitive science.
The Luddy School of Informatics, Computing, and Engineering
A top-tier program in computer vision, machine learning, and multimodal analytics.
The researcher will benefit from access to IU's state-of-the-art computing resources, weekly interdisciplinary meetings, and strong mentorship from both PIs.
Appointment Details
  • Anticipated Start Date: Spring or Summer 2026 (flexible)
  • Salary: $60,000 + benefits
  • Work Schedule: Full-time, on-campus
  • Supervisors: Dr. Tim Pleskac and Dr. David Crandall
  • Initial Appointment: 1 year, with expectation of renewal for a second year based on performance and funding

Application Instructions
Interested individuals should apply at https://indiana.peopleadmin.com/postings/31525.
A complete application includes:
  1. Cover letter describing research interests and fit for the position
  2. Curriculum vitae
  3. A professional writing sample (e.g., publication or dissertation chapter)
  4. Names and contact information for three references

Applications received by (1/9/2026) will receive full consideration, however the search will remain open until a suitable candidate is found.
Basic Qualifications
  • Ph.D. in Psychology, Cognitive Science, Computer Science, Data Science, Neuroscience, or a related field by the start date.
  • Demonstrated expertise in computational modeling of human behavior or computer vision / machine learning.
  • Proficiency in Python, MATLAB, or R.
  • Strong quantitative and analytic skills.

Department Contact for Questions
Dr. Tim Pleskac (tpleskac@iu.edu)
Additional Qualifications
  • Experience with evidence-accumulation models (DDM, sequential sampling, Bayesian models).
  • Experience with computer vision tools (e.g., MediaPipe, OpenPose, homography estimation, optical flow).
  • Experience with eye-tracking data collection or analysis.
  • Familiarity with deep learning frameworks (PyTorch, TensorFlow).
  • Experience working with multimodal datasets (video, gaze, motion, behavioral responses).
  • Background or interest in decision making under uncertainty, social decision dynamics, or human-AI interaction.

Salary and Rank
$60,000
Special Instructions
For Best Consideration Date
01/09/2026
Expected Start Date
03/01/2026
Posting Number
IU-101433-2025

Apply