Postdoctoral Associate

The neural dynamics and computation group of Dr. Chengcheng Huang at the University of Pittsburgh has a postdoctoral position available. The Huang group investigates the nervous system using computational modeling and mathematical analysis of neural networks. We develop theoretical approaches to understanding circuit dynamics and information processing in sensory systems. We are interested in how different task and stimulus contexts change neuronal responses and the implications on neural coding, with an emphasis on neural variability. Ongoing projects in our lab are functional roles of multiple interneuron subtypes, attentional modulation in complex stimulus environment and information flow in large scale multi-regional models. 

Potential projects for the candidate are: (1) Perturbation analysis of spiking neuron networks. (2) Data analysis of large-scale calcium imaging datasets from mouse cortex. (3) Training recurrent neural networks with biological constraints. (4) Comparison of biological and artificial neural networks of visual system. The candidate will have the opportunity to work with our experimental collaborators at the University of Pittsburgh and the Carnegie Mellon University.  

Candidates should have a Ph.D. in a related field, such as computational neuroscience, mathematics, physics or engineering.  The University of Pittsburgh is an affirmative action/equal opportunity employer and encourages applications from under-represented groups. 

A complete application consists of (1) a cover letter (2) a curriculum vitae, (3) a research statement, (4) at least three letters of recommendation. The application needs to be submitted at the University of Pittsburgh electronically through our TalentCenter portal. Please arrange the recommendation letters to be sent directly to the PI Chencheng Huang, [email protected].  

Application reviews will start immediately and continue until the position is filled.