SESYNC Career Opportunities

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Aug 17, 2016

The National Socio-Environmental Synthesis Center (SESYNC) is currently accepting applications for a variety of career opportunities, including those in science and policy and data science. Please see below for a full list of the job opportunities for which we are currently accepting applications:


Assistant Director of Science and Policy

Deadline: Sep 30, 2016

We seek an individual with at least five years of professional experience who can:

  • Facilitate collaboration between academic researchers from diverse fields and between researchers and environmental practitioners, managers, and policy experts;
  • Recruit researchers and policy experts to SESYNC’s projects;
  • Engage with postdoctoral fellows;
  • Assist with workshops and other center activities as needed.

The ideal candidate will enjoy collaborative projects, understand the inherent difficulties of collaborative work among intellectually diverse experts, have some experience with public policy issues, and care about linking science to real world policy, decisions, and management.

Data Scientist

Deadline: Sep 30, 2016

We seek a Data Scientist to join the cyberinfrastructure (CI) team in supporting collaborative, computational, and data-driven socio-environmental research. Our supported science teams and postdoctoral fellows come from many different disciplines and synthesize diverse models and data sets to answer large-scale questions at the intersection of humans and the environment. The Data Scientist will work closely with the CI team to assist scientists in performing data and model syntheses. 

In a typical week, the Data Scientist will spend the bulk of his/her time on the following activities:

  • Identifying useful resources, designing workflows, and building custom tools, e.g., databases, prototype web apps, stub code (~20 hours);
  • Helping researchers understand and use existing and custom tools (~8 hours);
  • Advising on statistical techniques and appropriate methods (~4 hours).

Additional tasks will include assessing and documenting project needs; participating in hands-on CI education workshops for students and researchers; and, assisting researchers in making their data, code, analyses, and applications open, reproducible, and discoverable.

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