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Research Specialist I

Employer
Princeton University
Location
New Jersey, United States
Salary
Salary Not specified
Date posted
Jun 5, 2023

View more

Position Type
Administrative, Academic Affairs, Research Administration
Employment Level
Post-Doc
Employment Type
Full Time

Research Specialist I

US-NJ-Princeton

Job ID: 2023-17187
Type: Full-Time
# of Openings: 1
Category: Research and Laboratory

Princeton University

Overview

The social cognitive lab of Uri Hasson at the Princeton Neuroscience Institute is seeking a full-time Research Specialist to contribute to our project to create a big database of video and audio recordings of family life.

The project is a collaborative study with Princeton’s Baby-lab and will involve scholars from various disciplines including developmental psychology, and computer science.

The Research Specialist will work closely with Dr. Hasson as well as with a full-time postdoctoral research associate and other members of the study team. They will be an integral member of this scientific team and will have opportunities to network, earn authorship on publications, and present posters at scientific meetings.

Ideal candidates should be highly motivated, driven, and work well in a team. Candidates with a strong background and in Computer Science, electrical engineering, physics, statistics, or math, and who have experience in programing, software engineering, signal detection, and machine learning are highly encouraged to apply.



Responsibilities

- Support existing code-base. Apply existing analysis tools on current unique dataset of family life

- Preprocessing new data

- Analyze datasets. Implement deep conversation models on datasets. Implement deep image models on datasets



Qualifications

Essential Qualifications:

Bachelor’s degree or higher in Computer Science, Electrical Engineering, Physics, Statistics, Math, or related field.
Ideal candidates should be highly motivated, driven, and work well in a team.

Preferred Qualifications:

Candidates with a strong background in, and who have experience in programming, software engineering, signal detection, and machine learning are highly encouraged to apply.

This position is subject to the University's background check policy.

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. KNOW YOUR RIGHTS

PI219181149

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