Department
    Princeton Neuroscience Inst

Category
    Research and Laboratory

Full-Time / Part-Time
    Temporary

Name of Lab
    Seung

Application Deadline
    10/11/2020

Overview

The Seung Lab is looking for bright, energetic, and rad people to join our neuroscience lab as image analysts / image annotators. What is key is an interest in scientific innovation and an appreciation for gaming. The Seung Lab is trying to tease apart the mysteries of neuroscience by using machine learning algorithm to lead the charge into connectomics - an ambitious effort to map wiring diagram of the nervous system. We expect these reconstructions enable dramatic leaps in our understanding of brain function.

The successful assistant will be involved with the annotation of brain images from serial electron microscopy for mouse, zebrafish and fly connectomic projects badly needed for decades from neuroscience community. The assistants will use custom computer software to assemble 3D reconstructions of neurons from fragments and use Photoshop-style software to color cellular structures cross sections in images. As an Image Analyst, you will provide quality-assured results and work with a growing team of talented researchers and developers. You will learn about neuroscience knowledge and basic machine learning pipeline to make you succeed in your work. Applicants are recommended to play the game www.eyewire.org and include their username and scores in the application.

The lab maintains an atmosphere that is relaxed, friendly, and permeated by a slightly dark sense of humor. You will get the warm satisfaction of working FOR SCIENCE!
Responsibilities

    Utilize your art, gaming or scientific experience to generate the following data in our custom interface that you will learn during on-boarding and training process.
        Reconstruct 3D models of neurons
        Generate data to train our artificial intelligence
        Annotate cellular structures on electron microscopy images for key analysis
    Collaborate with multidisciplinary team of talented neuroscientists and computer scientists to improve data generation process
    Collaborate with developer team to beta test new lab software and contribute your ideas to improve costumed interface

 
Qualifications

PREFERRED

    Bachelor's degree
    Visual learner with excellent visuospatial skills for 3D gameplay
    Good visuospatial skills and ease with point-and-click computer interface similar to image editing and computer games.
    Detail-oriented and quality-focused.
    Good oral & written communication skills
    Ability to work effectively in a fast-paced, team-oriented environment.
    Prior work experience as an Image Analyst or an Image Annotator

Applicants are recommended to play the game www.eyewire.org and include their username and scores in the application.

This is a temporary position with a possibility to become a permanent position.

Review of applications will begin immediately and continue until the position is filled.

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.

 
Salary Grade
TMP, 001
Standard Weekly Hours
0.00
Eligible for Overtime
Yes
Benefits Eligible
No
Essential Services Personnel (see policy for detail)
No
Estimated Appointment End Date
4/1/2021
Physical Capacity Exam Required
Review
Valid Driver's License Required
No

Connect With Us!

Join our Talent Network to receive updates about working at Princeton.

Princeton University job offers are contingent upon the candidate’s successful completion of a background check, reference checks, and pre-employment screening, as applicable. The type and extent of background check, reference checks, and pre-employment screening may vary depending on the requirements and/or functions of the job and the candidate’s current employment status with Princeton University.

If you have questions or comments regarding the iCIMS Privacy Policy or iCIMS FAQs, please contact accounts@icims.com.