We have an opening for a postdoctoral scholar in the area of bioinformatics and predictive analytics. The ideal candidate will have demonstrated expertise in one of these two areas and a strong interest in the other. Possible areas of expertise within predictive analytics include the development and application of neural networks and other machine learning techniques, or nonlinear statistical modeling techniques such as empirical dynamical modeling. Possible areas of expertise within bioinformatics include genome assembly and annotation, metagenomic or metatranscriptomic analysis, or advanced community structure analysis. Candidates should be proficient with R, Python, or Matlab, familiar with scientific computing in Linux, and fluent in English.
The successful candidate will take the lead in an exciting new industry collaboration to predict process thresholds from changes in microbial community structure. The goal of this collaboration is not only to predict thresholds, but to fully understand the underlying ecosystem dynamics through genomics and metabolic modeling. The candidate will be in residence at Scripps Institution of Oceanography at UC San Diego, but will have the opportunity to work directly with industry scientists in the San Diego area. The candidate is expected to take on a leadership role in the Bowman Lab, participate in training graduate students and undergraduates, represent the lab at national and international meetings, and publish their work in scholarly journals. The initial opportunity is for two years with an option for a third year contingent on progress made. The position starts January of 2019.
Interested candidates should send a CV and a brief, 1-page statement of interest to Jeff Bowman at jsbowman at ucsd.edu. The position will remain open until filled, but interested candidates are encouraged to apply by 11/16 for first consideration.
