Senior Research Scientist
Work type: Research Staff
Location: Arlington, VA, Hybrid Eligible
Categories: Default Department: Col of Engineering and Computing Classification: Research Staff 12-month Job Category: Research Staff Job Type: Full-Time Work Schedule: Full-time (1.0 FTE, 40 hrs/wk) Location: Arlington, VA Workplace Type: Hybrid Eligible Sponsorship Eligibility: Not eligible for visa sponsorship Salary: Salary commensurate with education and experience Restricted: Yes Criminal Background Check: Yes About the Department: Conducting sponsored research in the areas of virtual reality, augmented reality, human-computer interaction, gaming technology, and computer graphics. About the Position: The Senior Research Scientist mentors students on virtual reality and gaming technology research projects, assisting with technology transfer, and securing research grants in virtual reality. Responsibilities:
- Mentors students on virtual reality, human-computer interaction, computer graphics, and gaming technology research, targeting at scientific publications in top conferences (e.g., IEEE VR, ACM CHI, ACM SIGGRAPH) and journals (e.g., IEEE TVCG);
- Writes research proposals and secures research grants from NSF, DoD, NIH, NIST, etc.;
- Develops patents and performs technology transfer; and
- Manages virtual reality equipment and tools at the AR/VR Lab at FUSE, assists with technical configurations and troubleshooting.
- Terminal degree in a related field or the equivalent combination of education and experience;
- Research publication experience in top virtual reality venues (e.g., ACM CHI, IEEE VR, ACM SIGGRAPH);
- Developing software for sponsored research projects (e.g., NSF projects);
- VR/AR application development skills;
- Unity game engine tool development skills; and
- US permanent residency is required for securing certain research grants from some funding agencies (e.g., DoD).
- Unity Certified Professional: Programmer;
- VR/AR development experience with the Unity game engine;
- Developing VR/AR training applications; and
- Stochastic optimization knowledge and implementation skills.
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