Behavior + Electrophysiology Postdoc Fully Funded - University of Michigan

University of Michigan; Ann Arbor (MI); On-site; USD 55,000 - 75,000; Full time

Job summary

An innovative laboratory at a leading medical school is seeking a dedicated postdoctoral fellow in systems neuroscience. This role focuses on cutting-edge research involving electrophysiological recordings in diurnal rodents to explore mental health factors. The successful candidate will receive comprehensive training in advanced techniques such as EEG and silicon probe recordings. This is an exciting opportunity to contribute to impactful studies that bridge the gap between animal models and human biology. If you are passionate about neuroscience and eager to advance your career in a collaborative environment, this position is perfect for you.

Qualifications

• Experience with rodent electrophysiological recordings and behavior.
• Proficiency in MATLAB or Python for data analysis.

Responsibilities

• Conduct long-duration electrophysiology and behavior experiments.
• Analyze data related to psychiatric disorders and neural processing.

Skills

Rodent electrophysiological recordings

Rodent behavior

Coding in MATLAB

Coding in Python

Education

PhD in Neuroscience or related field

Tools

EEG

Silicon probe recordings

Spike sorting

Automated behavior scoring

Job description

Postdoctoral Fellow in Systems Neuroscience - University of Michigan Medical School

The laboratory of Brendon Watson at the University of Michigan Medical School is seeking to hire 1 full-time, fully-funded postdoctoral fellow in systems neuroscience.

Our lab specializes in long-duration electrophysiology and behavior experiments to study electrophysiological correlates of factors impacting mental health.

In these experiments, we focus on recording daily rhythms in diurnal rodents, which may offer greater translatability to human biology compared to typical nocturnal lab rodents. We combine long-duration recordings with analyses of long-term network states to better understand factors underlying psychiatric disorders and neural processing.

We will train the successful candidate in techniques including EEG, silicon probe recordings, sleep scoring, EEG/LFP analyses, spike sorting, spiking analytics, and automated behavior scoring. The research will involve studying both healthy animals and disease models.

Ideal applicants will have experience with rodent electrophysiological recordings, rodent behavior, and coding in MATLAB or Python.

Interested applicants should reply to [e-mail], including their CV, a letter of intent or background summary, and copies of relevant published articles.

More information can be found at: https://sites.google.com/view/watsonlab/