Postdoctoral Research Associate - Yttri Lab

Description

The Yttri lab at Carnegie Mellon University is looking for a talented postdoctoral associate to interrogate the circuit dynamics underlying naturalistic behavior.  Building off our unsupervised algorithm for segmenting behaviors from video (Hsu and Yttri, Nature Communications), we are looking to explore the interactions between multiple brain areas over long time scales (weeks) as mice navigate their arena and/or learn new tasks. Several avenues are open to research, including interrogation of timescales of representation, plasticity, and circuit dynamics in normal mice and disease models. Eric and the lab are committed to building a supportive community for inquiry and curiosity that foster members to become better scientists and people.

Qualifications

PhD or MD, background in neuroscience or statistical methods. Background in population-level analysis of neural data and/or basic machine learning principles required, but needn’t have been applied to rodent studies.

Application Instructions

Applications, including a cover letter and a curriculum vitae indicating your interest and relevant training should be submitted electronically via Interfolio.

Equal Employment Opportunity Statement

Carnegie Mellon University shall abide by the requirements of 41 CFR §§ 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, or national origin. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, national origin, protected veteran status or disability.