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Assistant or Associate Professor for Computational Science Strategic Team open

Computational Sciences Strategic Team Hire - Assistant or Associate Professor University of Nebraska-Lincoln 

The Institute of Agriculture and Natural Resources (IANR) at the University of Nebraska-Lincoln (UNL) is seeking applicants for a tenured or tenure-earning professorial position to join a recent Strategic Team hiring initiative in the computational sciences. The successful candidate is expected to develop a nationally and internationally recognized research program integrating the methodological (e.g., machine learning, Bayesian nonparametrics, risk analysis, and multi-scale modeling) and the field specific (e.g., bioimaging, biomolecular, cellular signaling, remote sensing, and epidemiology) levels of computational biology. The program aims of the successful candidate may include one or more of the following focus areas: 

  1. At the Molecular Level - Development of statistical theory, algorithms, and software related to the design and analysis of high throughput data (e.g., high density genotypic, transcriptomic, proteomic, metabolomic, and sequence information) with the goal of predicting genetic and metabolic networks. 
  2. At the Organismal Level - Studies addressing plant and animal genomics, which will include the development of statistical theory, algorithms, and software related to the design and analysis of high throughput data sets with the goal of advancing new methodologies to correlate genetic traits in plant and animal systems with phenotypes (e.g., drought tolerance, enhanced nutritional value, or enhanced economic value of downstream products). 
  3. At the Systems Level - Studies addressing large empirical datasets from local to regional to continental scale relating to agricultural, environmental and natural resources, which will enable the development of computational approaches and model predictions at each scale -may include the use of Global Circulation Models and the development of statistical theory, algorithms, and software related to the design and analysis of large ecosystem data sets (e.g., water, carbon, methane, and nitrous oxide), with the goal of predicting complex ecosystem networks and climate forecasts. 

This position will have a 70% research, 28% teaching and 2% service appointment, and the tenure home for will be determined based on the expertise of the successful candidate. Potential homes include: Biochemistry, Biological Systems Engineering, Food Science and Technology, Animal Science, Agronomy and Horticulture, Nutrition and Health Science, School of Veterinary Medicine and Biomedical Sciences, Plant Pathology, Statistics, and the School of Natural Resources. The successful candidate will develop a national recognized research program and contribute to university-wide programs in areas that include statistics, biomarkers in disease and stress, quantitative genomics and phenotypes, proteomics, metabolomics, plant and animal genomics, mathematical biology, food safety or ecosystem modeling. 

A Ph.D. in Statistics, one of the Natural Sciences, Mathematics, Computational Sciences, Engineering, or a closely related field is required; for the Assistant Professor level two years (or equivalent) of postdoctoral experience is strongly preferred. For the Associate Professor level, an externally supported and nationally recognized research program in the broad area of Computational Biology is required. Preference will be given to candidates that have expertise in the development and implementation of models of large complex systems at the molecular, the organismal, or the systems levels. The successful candidates should have a strong commitment to undergraduate and graduate education and research, excellent communication skills, and the desire and abilities to work cooperatively on multi-disciplinary projects. 

To view the details and make application, go to http://employment.unl.edu. Search for position number F_ 130062. Click on "Apply to this job." Complete the application and attach a letter of interest, curriculum vitae, and a statement on areas of interest and career goals in computational science (Other Document). Arrange for three letters of reference to be sent to Joyce Ore at jore1@unl.edu. Review of applications will begin January 2, 2014, and continue until the position is filled or the search is closed. 

The University of Nebraska is committed to a pluralistic campus community through Affirmative Action, Equal Opportunity, work-life balance, and dual careers.

posted 2013.11.13