A post-doc position in machine learning with application to computational biology is offered at the University of California at Merced on the NSF funded project New Tools for Characterizing Protein Dynamics. This project is a multi-disciplinary teamwork between Professor Shawn Newsam in Electrical Engineering & Computer Science and Professors Michael Colvin and Ajay Gopinathan in Physics & Chemistry. The objective is to develop, build up computational tools for analyzing molecular dynamics (MD) simulations of proteins, particular of disordered proteins that never fold into a fixed structure but are thought to carry out their biological function through their dynamics. Experimental observation of these proteins is limited so computer simulation through MD and other techniques, methods and skills plays a key role. The challenge is in analyzing the large amounts of data that outcome from the simulations. The candidate will work on developing novel machine learning and other understanding, knowledge discovery techniques in computer science to examine the output, productivity of the computer simulations.
* Recent Ph.D. in Computer Science with a strong publication record.
* Required: experience, know-how in complex data analysis through machine learning, data mining, pattern recognition, and so on.
* Preferred: interest or experience and knowledge in computational biology.
The position is available to be filled as soon as possible. The duration is one year with a possible one year extension. Please send your CV to,
- Professor Shawn Newsam
Application Deadline: 15 November 2012