Staff Research Associate 1 - Berkeley, United States - University of California Berkeley

University of California Berkeley
University of California Berkeley
Verified Company
Berkeley, United States

3 weeks ago

Mark Lane

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Mark Lane

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Description
Staff Research Associate C), Helen Wills Neuroscience Institute About Berkeley


At the University of California, Berkeley, we are committed to creating a community that fosters equity of experience and opportunity, and ensures that students, faculty, and staff of all backgrounds feel safe, welcome and included.

Our culture of openness, freedom and belonging make it a special place for students, faculty and staff.


The University of California, Berkeley, is one of the world's leading institutions of higher education, distinguished by its combination of internationally recognized academic and research excellence; the transformative opportunity it provides to a large and diverse student body; its public mission and commitment to equity and social justice; and its roots in the California experience, animated by such values as innovation, questioning the status quo, and respect for the environment and nature.

Since its founding in 1868, Berkeley has fueled a perpetual renaissance, generating unparalleled intellectual, economic and social value in California, the United States and the world.


At UC Berkeley, we believe that learning is a fundamental part of working, and our goal is for everyone on the Berkeley campus to feel supported and equipped to realize their full potential.

We actively support this by providing all of our staff employees with at least 80 hours (10 days) of paid time per year to engage in professional development activities.

To find out more about how you can grow your career at UC Berkeley, visit

Departmental Overview

We study the multiple neuro-cognitive processes that contribute to learning, decision-making and executive functions.

We use quantitative modeling at different levels of description (eg. reinforcement learning, Bayesian inference, and neural network modeling) to study the computations performed by cognitive or neural systems.


To inform the quantitative theories developed, we perform behavioral, as well as EEG, imaging or developmental experiments in healthy or patient adult populations.

Application Review Date


The First Review Date for this job is: April 1, 2024


Responsibilities:

Required Qualifications
Demonstrated ability to develop and run human behavioral experiments (online and in person). Ability to maintain and organize experimental data, experimental code. Familiarity with data analysis in R, MATLAB, or Python. Excellent interpersonal skills to develop and maintain effective and cooperative working relationships with a multi-diverse community. Solid written and oral communication skills. Strong organizational and time management skills.
Preferred Qualifications
Familiarity with EEG or fMRI data acquisition skills. Familiarity with and interest in cognitive science or cognitive neuroscience. Advanced knowledge and expertise associated with conducting and reporting on scientific research experiments and findings. Strong abilities to conduct and report on scientific experiments and findings. Familiarity with scientific process, such as IRB or grant reporting. Familiarity with open science practices. Knowledge of research discipline to collaborate effectively with faculty and function as a resource to research and instructional associates.


Education/Training:

Bachelors' degree in related area (cognitive science, cognitive neuroscience, neuroscience, psychology, or computer science) and/or equivalent experience/training.
Salary & Benefits


For information on the comprehensive benefits package offered by the University, please visit the University of California's Compensation & Benefits website.


The budgeted salary or hourly range that the University reasonably expects to pay for this position is $27.44 (step 4.0).

This is a 100%, full-time (40 hours per week), career position that is eligible for full UC benefits. This position is non-exempt and paid bi-weekly.
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