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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in multimodal AI approaches, particularly in understanding built environments and human experience. Proficient in designing experiments and evaluating AI predictions using complex datasets and modern machine learning frameworks.
Highest-signal resume keywords
PhD In Computer ScienceResearch Experience In AI/MLStrong Programming Skills In PythonExperience With Multimodal DatasetsDesigning Computational Experiments
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningComputer VisionHuman PerceptionMultimodal AIVision-Language ModelsWorld ModelsAI AgentsSpatial Intelligence3D SimulationHuman-Subject Research
Soft Skills
Collaboration SkillsCommunication Skills
Tools & Technologies
Autodesk Forma
Industry Keywords
Computational NeuroscienceCognitive ScienceHCIRoboticsComputational DesignBehavioral SignalsPhysiological SignalsTech TalksResearch PrototypesBuilt Environments
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Research multimodal AI approaches for understanding built environments and human experience
- Develop methods using foundation models, AI agents, and/or world models
- Work with multimodal datasets, including visual, spatial, behavioral, and physiological data
- Design experiments and benchmarks to evaluate AI predictions against human responses
- Build and evaluate research prototypes for real and simulated environments
- Document and communicate findings through papers, presentations, and demonstrations
- Contribute to meaningful projects and participate in tech talks and development opportunities
Requirements
What you’ll need- Currently pursuing a PhD in Computer Science, Machine Learning, Computational Neuroscience, Cognitive Science, HCI, Robotics, Computational Design, or a related field, with a completion date in 2028 or later
- Research experience in AI/ML, computer vision, human perception, or a related computational field
- Strong programming skills, ideally with Python and modern ML frameworks
- Experience designing computational experiments and working with complex datasets
- Strong collaboration and communication skills
- Preferred: experience with multimodal AI or vision-language models; world models, AI agents, or spatial intelligence; 3D, simulation, or virtual environments; human perception or human-centered AI; physiological or behavioral signals such as EEG or eye tracking; human-subject research; AEC or computational design; or Autodesk tools such as Forma
Benefits
Comp & perks- 16-week paid research internship program
- Tech talks and development opportunities
- Flexible Workplace approach supporting office, remote, and hybrid work based on business and team needs
- Competitive compensation package
- In-person onboarding and/or in-person ID verification may be provided
