Undergrad needed to help with data collection, storage, analysis in Huberman VR Lab
We are looking for a motivated undergraduate, who will help with collection, annotation, storage and analysis of human behavioral and physiological data in VR experiments. Undergraduate will have the freedom to focus on the parts of the project that he/she finds the most interesting. Topics range from intake- screen- schedule human subjects, help with running the experiments, collect, organize data, analyze data with Matlab using statistical methods and machine learning algorithms.
Responsibilities: ( flexible based on background and interest of the undergrad) :
Annotate data from video
Load data into Matlab and run analysis routines.
Analyze physiological data such as ECG, Respiration, Skin Conductance Response from Human Subjects
Communicate with the research team on a weekly basis to summarize weekly progress.
Help with human subject intake and scheduling
Time commitment: Minimum 5-10 hours/week.
Qualifications:
High Motivation and interest to work in a human behavior lab
Strong commitment to excellence and attention to detail
Excellent computer skills, particularly Excel
Preferred: Experience in Matlab programming
Preferred: Knowledge of Statistical analysis methods
At Huberman VR lab we are interested in understanding how internal arousal states combine with visual stimuli to create meaningful behaviors. We use state of the art Virtual Reality technology combined with body and physiology sensors in our experiments.
Please contact Melis Yilmaz Balban PhD at yilmel@stanford.edu to apply.
We are looking for a motivated undergraduate, who will help with collection, annotation, storage and analysis of human behavioral and physiological data in VR experiments. Undergraduate will have the freedom to focus on the parts of the project that he/she finds the most interesting. Topics range from intake- screen- schedule human subjects, help with running the experiments, collect, organize data, analyze data with Matlab using statistical methods and machine learning algorithms.
Responsibilities: ( flexible based on background and interest of the undergrad) :
Annotate data from video
Load data into Matlab and run analysis routines.
Analyze physiological data such as ECG, Respiration, Skin Conductance Response from Human Subjects
Communicate with the research team on a weekly basis to summarize weekly progress.
Help with human subject intake and scheduling
Time commitment: Minimum 5-10 hours/week.
Qualifications:
High Motivation and interest to work in a human behavior lab
Strong commitment to excellence and attention to detail
Excellent computer skills, particularly Excel
Preferred: Experience in Matlab programming
Preferred: Knowledge of Statistical analysis methods
At Huberman VR lab we are interested in understanding how internal arousal states combine with visual stimuli to create meaningful behaviors. We use state of the art Virtual Reality technology combined with body and physiology sensors in our experiments.
Please contact Melis Yilmaz Balban PhD at yilmel@stanford.edu to apply.