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Internship Computer Science Postdoc Jobs (NOW HIRING)

Rackner

Computer Science Internship

College Park, MD

$19 - $25/hr

... computer scientists and engineers on challenging and impactful projects. You will be involved in research, development, and problem-solving, helping to shape the future of technology. This internship ...

Rackner

Computer Science Internship

College Park, MD

$19 - $25/hr

... computer scientists and engineers on challenging and impactful projects. You will be involved in research, development, and problem-solving, helping to shape the future of technology. This internship ...

Rackner

Computer Science Internship

College Park, MD · On-site

$19 - $25/hr

... computer scientists and engineers on challenging and impactful projects. You will be involved in research, development, and problem-solving, helping to shape the future of technology. This internship ...

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Internship Computer Science Postdoc information

What is the difference between Internship Computer Science Postdoc vs Research Scientist?

AspectInternship Computer Science PostdocResearch Scientist
Required credentialsTypically PhD or nearing completion in Computer SciencePhD in Computer Science or related field
Work environmentAcademic labs, universities, research institutionsResearch labs, industry R&D departments, universities
Employer and industry usagePrimarily academic and research institutionsIndustry companies, government agencies, academia
Common search and comparison intentUnderstanding early career research rolesExploring advanced research positions in industry or academia

Internship Computer Science Postdocs are typically short-term research positions for PhD candidates or recent graduates, mainly in academic settings. Research Scientists usually hold PhDs and work in industry or research labs, focusing on applied or fundamental research. While both roles involve research, internships are entry-level and temporary, whereas Research Scientists are more permanent and senior roles.

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PostDoctoral Associate in Computational Social Science

Boulder, CO • On-site

Complex Systems Society
See more jobs at Complex Systems Societyexternal

Other

Posted 11 days ago

Job description

PostDoctoral Associate in Computational Social Science

PostDoctoral Associate in Computational Social Science at University of Colorado, USA

The research groups of Professors Daniel Larremore and Aaron Clauset at the University of Colorado Boulder are seeking exceptional candidates for a postdoctoral research associate, to work on an innovative project modeling the dynamics of the scientific ecosystem. This project will combine theories and methods from Computational Social Science, Statistical Inference, Dynamical Systems, Ecology, and Evolutionary Biology to better understand the way that science and knowledge production work.

The initial term of the position is one year, with the possibility of up to two renewals, and will begin as early as January 2020 and no later than August 2020.

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, ecology, and/or 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. Our main tools are probabilistic models, random walks, causal inference, and statistical algorithms, coupled with ideas from statistical physics, social science, and ecology. Familiarity with one or more of these techniques is desirable, but is not a requirement.

Qualifications
  • 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 2020
  • Education or training in statistics, data analysis, and programming
  • Strong communication and presentation skills
  • A commitment to working in an interdisciplinary and collaborative environment.

For additional information, please contact Dan Larremore daniel.larremore@colorado.edu or Aaron Clauset with subject line "Science of Science Postdoc".

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