We are hiring postdoctoral associates to investigate how populations of neurons perform complex computations, such as object segmentation and object recognition. We work closely with experimentalists who record thousands of neurons simultaneously and develop machine-learning tools to extract computational principles from these large-scale data sets. Examples of ongoing projects include creating a neural atlas of behavioral representations across mice and brain areas, creating data-inspired methods for structure discovery in large-scale recordings, determining the goals of various visual areas by comparing neural activity to deep neural networks trained on various visual tasks, and fitting biologically-plausible, deep-network models to visual cortical neural activity. For more information on the Stringer lab, visit https://www.janelia.org/lab/stringer-lab
Desired skills and abilities:
If you are interested please send your CV and a statement of research interests to email@example.com
Experience working with large-scale datasets and machine-learning pipelines
Ability to develop creative ideas for applying machine-learning algorithms to neuroscience research
PhD in computational neuroscience, machine learning, applied mathematics, or a related field
HHMI is an Equal Opportunity Employer.
As a note for job seekers: We are thrilled by your interest in our organization. Please be aware that HHMI’s recruitment team will never contact you from an email that does not end in @hhmi.org, @janelia.org, or @janelia.hhmi.org and we will never ask you to participate in a Google Hangouts activity. Your best option for consideration in our career opportunities is to apply directly via our HHMI Careers site, which is accessible via www.hhmi.org/Careers. There, you will learn more about HHMI and can find information about our available roles.