
05 Sep Postdoctoral Associates – Statistical Tools for Interpreting Neural Recordings
Postdoctoral Associate
Division: Neuroscience
Schedule: Monday – Friday, 8:00 a.m. – 5:00 p.m.
Work Location: Texas Medical Center, Houston, TX
Salary Range: Up to $60,000
FLSA Status: Exempt
Requisition ID: 5922
Summary:
Fellows will join principal investigators and theorists Krešimir Josić, Genevera Allen, Xaq Pitkow, Ankit Patel, and Robert Rosenbaum. The team will interact closely with experimentalists including co-Investigator Andreas Tolias and several other labs interested in applying novel methods we develop. Fellows will also be members of the new Center for Neuroscience and Artificial Intelligence housed at the Baylor College of Medicine and supported in part by the NSF NeuroNex program. The Center brings together interdisciplinary researchers from across Houston, including members from Baylor College of Medicine, Rice University, University of Houston, and University of Texas Health Sciences. Researchers at the Center contribute diverse expertise in fields including neuroscience, machine learning, statistics, physics, computer science, electrical engineering, and applied mathematics.
Job Purpose:
We seek several highly motivated postdoctoral research fellows for a collaborative team project building statistical tools for interpreting large scale neural recordings. The fellows will develop new methods and applications of probabilistic graphical models to infer statistical interactions amongst neurons and with their environment. The tools will be validated in neural network simulations, tested in physiological recordings, and made widely available to the neuroscience community for understanding data from next-generation experiments.
Job Duties:
- Plans, directs and conducts specialized and advanced research experiments.
- Evaluates and analyzes data.
- May establish new research protocols and procedures.
- Summarizes research findings and publish results in research journals.
- May be responsible for laboratory operations.
- May supervise research staff.
Minimum Qualifications:
- Education Required: MD or Ph.D. in Basic Science, Health Science, or a related field.
- Experience Required: None Required.
- Certification/Licenses/Registration: None Required.
Preferred Qualifications:
- Outstanding mathematical skills.
- PhD in a relevant quantitative discipline.
- Expertise in probabilistic graphical models or statistical machine learning.
Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.
Please click here to apply.
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