We have two openings for postdoctoral scientists in quantitative biology: one experiment-focused Keck Scholar in the Stasevich lab and one computation-focused Keck Scholar in the Munsky group. Research in these interdisciplinary positions will focus to develop and apply new tools to analyze, understand, and predict single-molecule gene regulation dynamics in human cells, with a special focus on mRNA translation. We are particularly interested in using fluctuations in space, time and among different individual molecules to probe the gene regulatory mechanisms of host-pathogen interactions with unprecedented precision. The ideal candidates must have excellent computational or laboratory skills and the knowledge, motivation, and ability to collaborate with biological scientists in other disciplines.

Computation-focused candidates should have expertise in machine learning or system identification, control and dynamical systems, stochastic processes, high performance computing, and optimization. Preference will be given to those with experience in model inference and experiment design for biological investigations.

Experiment-focused candidates should have expertise in cell culture, cloning, and fluorescence microscopy, as well as image analysis and data fitting with languages such as Python, Matlab, or Mathematica. Preference will be given to those familiar with genome editing using the CRISPR/Cas system and/or with previous experience studying gene regulation in mammalian cells.

For more information on our groups' research interests, please see our websites and recent publications at:

Munsky -- http://www.engr.colostate.edu/~munsky/Publications.html

Stasevich -- http://sites.bmb.colostate.edu/stasevichlab/

To apply please send a C.V., a cover letter to describe your interest and experience, and contact information for three professional references to: munsky -at- engr.colostate.edu and tim.stasevich -at- colostate.edu.

Note for those applying for the computation-focused Keck Scholar position: In the interview stage, we will request for you to create and share a simple GitHub repository with us in order to demonstrate your skills for organization and computing.

We are always looking for undergraduate students who are interested apply computational models to understand complex biological systems. Students should have a strong grasp of scientific computing in any programming language (Matlab, R, C/C++, Fortran, Java, Python etc...). Students in any discipline of science or engineering are welcome. If interested, contact me directly by email: (munsky at engr dot colostate dot edu).

Students wishing to pursue graduate study in the integration of computational analyses with single-cell experiments are encouraged to apply to the CSU PhD programs in Chemical Engineering or Biomedical Engineering.

Graduate students in the Munsky group will build expertise in dynamical systems and control theory; probability and statistics; and high performance scientific computing for ordinary, partial and stochastic differential equations; and optimization and machine learning approaches. Although most of our research focusses to develop new computational tools or models, all PhD students in the Munsky group will learn to collaborate directly and effectively with experimentalists at CSU and beyond.

For information about the graduate program in BiomedicalEngineering, please see the following link: (SBME Program).

For information about the graduate program in Chemical Engineering, please see the following links: (CBE Program and CBE Admissions).

The Munsky group particularly values strong computational skills, excellent oral and written communication skills, and an ability to think creatively and critically. When applying, please address these skills in your cover letter.

Prior to acceptance into the lab, prospective students will be asked to create and share a simple GitHub repository with me in order to demonstrate their skills for organization and computing.