- Advance the state-of-the-art for assessing human perception and performance for graphics rendering using eye tracking and psychophysics.
- Analyze data to advance eye movement prediction and perceptual control loops in real-world or virtual tasks and environments.
- Collaborate with researchers and engineers across diverse disciplines.
- Present regularly to large cross-functional teams and communicate progress.
- Engage the wider academic community to pursue research in this direction through publications and/or workshop/challenge/tutorial organization top-tier conferences.
- Currently has, or is in the process of obtaining, a PhD degree in the field of Computer Science, Machine Learning, Computational Neuroscience, Experimental Psychology or a related STEM field
- 3+ years of experience, including undergraduate and graduate research, working in eye tracking, psychophysics, computational modeling, or related areas.
- High levels of creativity and quick problem solving capabilities
- Interpersonal skills: cross-group and cross-culture collaboration
- Experience with experimental design (using software such as Unity, Matlab, or similar) and data analysis using Python, Matlab, R, and/or similar relevant approaches
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
- Demonstrated research science or software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. Github)
- Intent to return to degree-program after the completion of the internship
- Proven track record of achieving results as demonstrated in accepted papers at top computer vision, machine learning, neuroscience, psychology, or HCI related conferences (such as CVPR, IEEEVR, NeurIPS, CHI, etc.) or journals.
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