Quantitative Modeler

Apply now Job no: 492388
Work type: Staff Full-Time, Postdoc / Research / Fellow
Location: Denver, CO
Categories: Research, Postdoc / Fellow

The Frederick S. Pardee Center for International Futures is the home of long-term scenario development and global trend analysis at the Josef Korbel School of International Studies. International Futures (IFs) is a large-scale, long-term, integrated global modeling system that represents demographic, economic, health, energy, agriculture, education, infrastructure, socio-political, environmental, and international politics subsystems for 186 countries interacting in the global system. The Pardee Center works heavily on sponsored research projects with various government institutions, international organizations, NGOs, and to a lesser extent, private sector clients.

The Pardee Center is committed to building a culturally diverse faculty and staff committed to teaching and working in a pluralistic environment. Applicants are requested to include in their cover letter information about how they will advance this commitment through their research and service.

Position Summary

The successful candidate will join and support an interdisciplinary team analyzing issues across human development (demographics, education, health), social change and development (economics, governance, government and social finance, international relations) and biophysical sustainability (linking to agriculture, energy, climate change, and water systems).  The International Futures (IFs) system includes hard-linked models across these issue areas.  Although no modeler is likely to have pre-existing experience in all of them, the candidate must be willing to learn about them and to be involved in model refinement and extension across them and others as needs arise.

The purpose of the Center’s applied research is to inform national and international (sometimes more local) policy efforts, such as those related to the Sustainable Development Goals, including assessment of synergies and trade-offs across packages of interventions. The Center works with a very large range of clients and partners on projects that vary widely depending on their interests and needs.

Essential Functions

The position holder must be prepared to process and manage large datasets, become proficient in using and developing the International Futures system (a complex integrated assessment model), and apply the tool to respond to different research questions. The incumbent must be able to efficiently and productively develop new model refinements and extensions as needed by the Center. In addition, s/he must be able to think and write critically and independently about her/his work as well as be able to communicate complex model components and relationships to sometimes less-sophisticated model stakeholders and users. A key responsibility will be vetting of model results and identification of model problems and inconsistent behavior in model outputs.

The selected candidate will interact with leading researchers of different nationalities and will conduct needed research and modeling independently, as well as to contributing to larger collaborative research activities.

Supervisory Duties

May supervise temporary or work study positions on particular project tasks, as well as leading projects involving other Center full-time researchers.

Knowledge, Skills, and Abilities

  • Must have a demonstrated commitment to fostering an environment in which faculty, staff, students, and community partners from diverse backgrounds and cultural identities feel welcome and valued
  • Effective communicator in oral and written form
  • Strong interpersonal communication skills to build relationships with research staff, student employees, and colleagues across campus
  • Extensive knowledge in one or more of the issue domains of the IFs system is necessary.
  • Experience in code development of complex systems of equations.
  • Knowledge of integrated assessment modeling as a discipline.

 Required Qualifications

  • MA in in social science, engineering or science (e.g., mathematics, physics).
  • Demonstrated model development experience, including work that goes beyond statistically estimating equations or sets of them and into creation of larger-scale systems, dynamic across time.
  • Coding experience for model development in one or more computer languages.
  • Experience with a standard economic model building software.

Preferred Qualifications 

  • PhD in social science, engineering or science (e.g., mathematics, physics). 
  • Visual Studio experience.
  • Experience in developing proposals for new research projects.

Working Environment:

  • Fast-paced office environment
  • Unexpected interruptions occur often and stress level is moderate to high
  • Noise level is quiet to moderate

Physical Activities:

  • Ability to sit in front of a computer for an extended period of time
  • Occasionally required to move about the office/campus with the capability of transporting objects up to 20 lbs

Work Schedule

  • Monday – Friday, 8:00 a.m. – 4:30 p.m.

Application Deadline

For best consideration, please submit your application materials by 4:00 p.m. (MST) July 31, 2019

Special Instructions

Candidates must apply online through jobs.du.edu to be considered. Only applications submitted online will be accepted.

Salary Range:
Salary will be determined by the qualifications of the selected candidate balanced with departmental budget availability, internal salary equity considerations, and available market information.

Please include the following documents with your application:

  1. Resume
  2. Cover Letter

The University of Denver is committed to enhancing the diversity of its faculty and staff. We are an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment regardless of age, race, color, national origin, religion, sex, sexual orientation, gender identity, disability, military/ veteran status or any other status protected by law.

 

All offers of employment are based upon satisfactory completion of a criminal history background check.

Advertised:
Applications close:

Back to search results Apply now Refer a friend

Share this:

| More

We're Here to Help

Browse our knowledge base for help with frequently asked questions or submit a ticket

Submit a Ticket

Contact