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PostDoctoral Associate

Requisition Number:

16885

Location:

Boulder, Colorado

Employment Type:

Research Faculty

Schedule:

Full-Time

Posting Close Date:

01-May-2019

Job Summary

The research groups of Professors Daniel Larremore and Aaron Clauset at the BioFrontiers Institute are seeking exceptional candidates for a PostDoctoral Research Associate, to work on an innovative project at the intersection of Computational Social Science, the Science of Science, Statistical Inference, and Dynamical Systems. The initial term of the position is one year, with the possibility of up to two additional years of funding, and will begin no later than August 2019.

Ideal candidates will have a strong mathematical, statistical, and computing background; a strong track record of innovative research and publications in selective venues; and expertise in computational social science and data science. The project will focus on developing new statistical and mathematical models of the causal forces that shape the structure and dynamics of the scientific workforce, spanning individual researchers and their careers, competition among departmental units, and the evolution of entire fields.

For more information about our groups, see http://danlarremore.com and http://santafe.edu/~aaronc.

Who We Are

At the BioFrontiers Institute, researchers from the life sciences, physical sciences, computer science and engineering are working together to uncover new knowledge at the frontiers of science and partnering with industry to transform their discoveries into new tools.

What Your Key Responsibilities Will Be

Responsibilities include conducting high-quality, innovative research in the areas of computational social science and the “science of science,” developing mathematical and computational models, preparing and analyzing data, preparing and publishing scientific manuscripts, providing leadership and mentoring within our research groups, and carrying out other research and professional service activities.

What You Should Know

Applicants should be highly proficient in computer programming in a high-level language such as Python, R, or Matlab, and have coursework or adequate preparation in inferential or descriptive statistics and in mathematics beyond calculus.

What We Can Offer

$70,000 annual salary, plus benefits.

Benefits

The University of Colorado offers excellent benefits, including medical, dental, retirement, paid time off, tuition benefit and ECO Pass. The University of Colorado Boulder is one of the largest employers in Boulder County and offers an inspiring higher education environment. Learn more about the University of Colorado Boulder.

What We Require

  • A Ph.D. (or equivalent) in Applied Mathematics, Computer Science, Statistics, or Physics, or in a quantitative branch of Ecology, Sociology, or Computational Social Science, or in a similar field, conferred no later than August 2019.
  • Education or training in statistics and programming.

What You Will Need

  • A deep commitment to doing high-quality, innovative computational social science; strong coding skills in numerical and statistical computing; and, a commitment to working in a collaborative environment.

What We Would Like You To Have

  • Expertise or experience with mathematical modeling, network science, machine learning, causal inference, data visualization, scientific writing, and communicating science.

Special Instructions

To apply, please submit the following materials:
  1. Resume/CV
  2. Cover Letter
  3. Essay - should be written in the form of a statement of research interests and accomplishments. Please describe your past research accomplishments, your future research goals, and your philosophy of research succinctly, in no more than 2 pages.
  4. List of References - should include full contact information (name, position, relationship to you, email, and phone).
Candidates who submit materials before April 15, 2019 will receive full consideration.

Note: Application materials will not be accepted via email. For consideration, applications must be submitted through CU Boulder Jobs.

Posting Contact Name: Professor Daniel Larremore

Posting Contact Email: Daniel.Larremore@colorado.edu

The University of Colorado is an Equal Opportunity/Affirmative Action employer