Postdoctoral Training Opportunity - Computational Neuroscience with the Glaser Lab
The Glaser Lab, at Northwestern University Feinberg School of Medicine, Dept of Neurology, is hiring multiple postdoctoral research scientists.
The Glaser Lab is a computational neuroscience lab that develops machine learning tools for neural data analysis, and works closely with experimental collaborators to answer neuroscience questions. More specifically, we aim to develop interpretable machine learning methods to better make sense of large-scale and complex neural activity data, with a focus on analyzing populations of individual neurons. We are excited to develop new computational tools to better understand how different brain areas and cell types interact, how neural activity flexibly drives movement and behavior across a wide range of conditions, and how the dynamics of neural activity differ across behaviors, diseases, and internal states.
Postdoctoral research scientists perform independent research in neural data analysis and machine learning within the collaborative research environment of the Glaser Lab and Northwestern University. Postdoctoral research scientist positions have no teaching responsibilities and are fully funded. This position emphasizes the application of computational skills to biological problems. Computational and coding research experience, in addition to an interest in neurobiological systems, is thus required.
Existing projects in the lab include the development of interpretable machine learning methods for dimensionality reduction, neural decoding, and multi-region interactions, in addition to collaborative work with experimentalists to study neural control of movement. In addition to working on existing projects, motivated applicants may propose novel projects involving the development and use of machine learning tools for neuroscience.
Requirements:
PhD by the start date of this postdoctoral position. PhD should be in neuroscience, engineering, computer science, or another computationally-oriented field (e.g. statistics, applied math, physics).
Applicants are expected to:
- Be proficient in coding in Python (preferred) or Matlab
- Have done prior computational work, preferably on biological systems
- Be self-motivated, and be able to conduct independent research in a collaborative and supportive research environment
Interested candidates should e-mail a single PDF with a cover letter briefly describing their research interests and qualifications, a curriculum vitae, as well as the names and contact information for three references to Dr. Joshua Glaser at j-glaser@northwestern.edu.
Northwestern University is an Equal Opportunity, Affirmative Action Employer of all protected classes, including veterans and individuals with disabilities. Women, underrepresented racial and ethnic minorities, individuals with disabilities, and veterans are encouraged to apply.