Postdoctoral Scholar

Lawrence Berkeley National Laboratory • Berkeley, CA

3h • Hybrid

About The Position

Lawrence Berkeley National Laboratory is hiring a Postdoctoral Scholar within the Scientific Data Division.
Under direct supervision, the post-doc will work in the Scientific Data Division at Berkeley Lab as part of the Computational Biosciences Group to perform research into control theory of neural population dynamics. This position has the specific focus of developing ML methods to assess the feedback controllability of neural population dynamics recorded from brain organoids. This position requires a high-degree of team work and interdisciplinary activities.
We’re here for the same mission, to bring science solutions to the world. Join our team and YOU will play a supporting role in our goal to address global challenges! Have a high level of impact and work for an organization associated with 17 Nobel Prizes!

Requirements

• Ph.D. degree in electrical engineering, computer science, physics, mechanical engineering, applied math, theoretical neuroscience, or statistics.
• In depth experience with control theory and machine learning for analysis of neural population data.
• Experience with scientific programing languages (e.g., C/C++, Python, and Matlab).
• Experience working in a collaborative, multi-disciplinary environment and exhibit good communication skills.

Nice To Haves

• Experience with fitting parametric models to neural population data.
• Experience with high-performance computing.

Responsibilities

• Perform research in machine learning methods based on control theory applied to problems in neuroscience.
• Prepare write-up, attend meetings, etc.
• Write manuscripts
• Contribute to grant proposals
• Analyze data from projects, make plots, and present results

Benefits

• Exceptional health and retirement benefits, including pension or 401K-style plans
• A culture where you’ll belong - we are invested in our teams!
• In addition to accruing vacation and sick time, we also have a Winter Holiday Shutdown every year.
• Parental bonding leave (for both mothers and fathers)

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree