The Seung Lab at Princeton University specializes in reconstructing the connections between neurons by analyzing electron microscopic brain images. The lab has received major funding from IARPA to reconstruct the connectome of a cubic millimeter of neocortex. This presents new engineering challenges as the volume is 1000x larger than existing reconstructions. This amounts to a petabyte of image data that must be stored and processed through our artificial intelligence (AI) pipeline and reviewed by human effort.
The lab is looking for an Infrastructure Developer experienced in large scale data storage and data processing systems to help scale the lab’s existing pipeline for this petabyte challenge. This is a one year term position with the possibility of renewal based on performance and continued funding.
For more information, see
Please submit your application online and also email your CV and a longish C++ code sample directly to Prof. Sebastian Seung firstname.lastname@example.org
The final candidate will be required to complete a background check successfully.
Princeton University is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. EEO IS THE LAW