Postdoctoral Research Associate - Yttri Lab

Carnegie Mellon University; Pittsburgh (Allegheny County); In loco; USD 52.000 - 76.000; Tempo pieno

Descrizione del lavoro

The Yttri lab at Carnegie Mellon University is seeking a talented postdoctoral associate to investigate circuit dynamics underlying naturalistic behavior. Building on an unsupervised behavior segmentation algorithm, the project will explore interactions across brain areas in mice as they navigate arenas or learn tasks.

Applicants should hold a PhD or MD with a neuroscience or statistics background and have experience with neural data analysis and machine learning concepts.

Competenze

• PhD or MD in neuroscience or related field.
• Experience with population-level neural data analysis or ML concepts preferred, not required for rodent studies.

Mansioni

• Investigate circuit dynamics underlying naturalistic behavior in mice.
• Study interactions between multiple brain areas over weeks.
• Explore timescales of representation, plasticity, and circuit dynamics.

Conoscenze

Neuroscience background

Statistical methods

Machine learning basics

Formazione

PhD or MD

Descrizione del lavoro

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.

Equal Employment Opportunity Statement

Carnegie Mellon University is an equal opportunity employer. It does not discriminate in admission, employment, or administration of its programs or activities on the basis of race, color, national origin, sex, disability, age, sexual orientation, gender identity, pregnancy or related condition, family status, marital status, parental status, religion, ancestry, veteran status, or genetic information. Furthermore, Carnegie Mellon University does not discriminate and is required not to discriminate in violation of federal, state, or local laws or executive orders.