Postdoctoral position in machine learning and comparative regulatory genomics

Postdoctoral position in machine learning and comparative regulatory genomics

A postdoctoral position is available in the lab of Dr. Sushmita Roy at the Wisconsin Institute for Discovery University of Wisconsin, Madison.  This position is sought as part of a newly funded grant to develop novel computational methods to compare one-dimensional and three-dimensional regulatory signals across mammalian genomes.

Our lab develops and applies computational methods, based on statistical machine learning, to identify regulatory networks, how they change across developmental and/or evolutionary time scales, and construct predictive models of global phenotypes. Our methods integrate regulatory genomics datasets from diverse species to infer and analyze these networks. We collaborate with several experimental labs addressing diverse biological and biomedical questions ranging from understanding cellular reprogramming to deciphering the human brain development and disease. The WID is a highly interdisciplinary research institute with state-of-the-art research and computing facilities that brings together researchers from the mathematical, computational and biological sciences.

Requirements: PhD in computer science, statistics, bioinformatics, or computational biology, with a strong interest in graph theory and biological network analysis. Ability to develop, implement and apply statistical machine learning algorithms for analysis of genomic datasets.

How to apply: Please send (1) CV with publications, (2) statement of current and future research interests, (3) career goals, (4) contact information of two references to sroy@biostat.wisc.edu.

Relevant websites:

WID: http://wid.wisc.edu

Roy lab: roylab.discovery.wisc.edu