- Plan and execute cutting-edge research and design of novel adaptive algorithms for various sensory models.
- Implement signal processing, classification, fusion, and confounder mitigation algorithms and systems that are robust, efficient, easily tunable, and yield seamless interactions.
- Troubleshoot, debug, and upgrade existing software, contribute to code documentation and maintenance of the analysis pipeline.
- Collaborate with the larger research team, present and share results with key stakeholders.
- Advance the state of the art (SOTA) in sample-efficient modeling for understanding human cognition and action writ large.
- Use SOTA models to deliver advances in downstream experiments or demos – it has to work in real life.
- Successful internships may also lead to publishable outcomes in top-tier journals or at leading international conferences.
- Currently has, or is in the process of obtaining, a PhD in computer science, electrical or computer engineering, machine learning, state-estimation, robotics, or relevant technical field.
- 3+ years of experience with scientific programming languages such as Python or Matlab or similar.
- Experience with online and offline signal processing of biological time series data and sensor-fusion techniques.
- Excellent research skills involving defining problems, exploring solutions, and analyzing and presenting results.
- Interpersonal skills: cross-group collaboration and cross-culture collaboration. Be able to clearly articulate ideas and goals.
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
- Familiarity with AR/VR technologies and literature.
- Experience with biometric or biosignal modeling for real-time interactive scenarios (e.g., gesture recognition, task inference).
- Experience with machine learning and related frameworks, such as sklearn or Pytorch.
- Experience working directly with domain experts in non-ML fields, for example mechanical engineers or designers, neuroscientists, physicists, etc.
- Experience writing research software used by others, for example as part of an academic collaboration, an open-source project, or equivalent.
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as CVPR, ICML, NeurIPS, SIGGRAPH, Society for Neuroscience, or similar.
- Experience working and communicating cross functionally in a team environment.
- Intent to return to degree program after the completion of the internship/co-op.
- Availability for minimum 16 consecutive week internship.
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