Overview
Tufts University is offering a postdoctoral position in Boston, MA, focused on machine learning applications for understanding and predicting human performance through heterogeneous time series data. This role is significant for those interested in the intersection of machine learning and cognitive sciences, particularly in real-time performance metrics.
Background & Relevance
The field of machine learning has seen rapid advancements, particularly in its application to human performance analysis. Understanding how physiological signals correlate with cognitive states and task performance is crucial for various domains, including military, sports, and healthcare. This research aims to leverage machine learning techniques to enhance our understanding of human behavior and performance in dynamic environments.
Key Details
- Position Type: Postdoctoral
- Location: Tufts University, Boston, MA
- Duration: 12-18 months, with potential for renewal
- Start Date: Estimated October 2019
- Research Focus: Real-time prediction of performance metrics from neurophysiological and interaction data
Eligibility & Participation
This position is targeted at individuals with a strong background in machine learning, particularly those with experience in supervised and unsupervised time series modeling. Candidates with expertise in related fields such as information theory and statistical signal processing are also encouraged to apply.
Submission or Application Guidelines
Interested candidates should submit the following materials:
– A cover letter outlining research interests and career goals
– Curriculum Vitae (CV)
– Contact information for three references
Applications should be sent to Mike Hughes at mhughes@cs.tufts.edu.
Additional Context / Real-World Relevance
The project involves collaboration among several departments at Tufts University, including Electrical and Computer Engineering and Computer Science, as well as the Center for Applied Brain and Cognitive Sciences. The research aims to develop advanced machine learning algorithms that can analyze both individual and team performance metrics, which is vital for enhancing training and operational effectiveness in various fields.
Conclusion
This postdoctoral opportunity at Tufts University represents a unique chance to contribute to cutting-edge research in machine learning and human performance prediction. Interested individuals are encouraged to apply and explore this exciting field of study.
Category: PhD & Postdoc Positions
Tags: machine learning, human performance, time series, neurophysiology, deep learning, signal processing, tufts university, cognitive science, team dynamics
