Carnegie Mellon University's Neuroscience Institute is seeking a Post-Doctoral Research Associate to develop computational methods for inference and control to improve the reliable and efficient operation of autonomous agents in complex, uncertain environments.
Requirements
- Extensive experience algorithms and machine learning
- Experience in and with statistics
Responsibilities
- Develop computational methods for inference and control that improve the reliable and efficient operation of autonomous agents in complex, uncertain environments.
- Modeling dynamical systems
- Designing and extending algorithms grounded in probabilistic machine learning
- Applying statistical techniques to assess robustness and generalization.
- Development of methods of research, testing and data collection, analysis and evaluation, and writing reports which contain descriptive, analytical and evaluative content.
Other
- PhD in Neuroscience, Cognitive Science or a related field
- Graduate level research experience
- A combination of education and proven experience from which comparable knowledge is demonstrated may be considered.
- Flexibility, excellence, and passion are vital qualities within CMU.
- Inclusion, collaboration and cultural sensitivity are valued competencies at CMU.
