Post-Doctoral Associate (Climate and Governance Variability in the Great Lakes Project (CGVG))

University of Minnesota

Duluth, MN, US

Special Notice for COVID-19

The UMN has suspended hiring for most positions. However, we will continue hiring for positions critical to the University’s mission and operations at this time. Applications are being accepted for this position and you are encouraged to apply. In-person interviews are suspended indefinitely and will be replaced by interviews in a virtual format. Thank you for your continued interest in working at the University of Minnesota.

Qualifications

Minimum Requirements:

  • Ph.D. in geography, biology, ecology, water resources, climate science, or related field, with focus on socio-ecological systems

  • Robust computational and data analytics skills

  • Excellent oral and written communication skills in English

  • Ability to work both independently and in a team environment

Preferred Qualifications:

  • Experience working with data analysis (regression, time series, and/or network analysis), proficiency with relevant data analysis tools including but not limited to R, Python and SPSS, and experience with machine learning, textual analysis or topic modeling is preferred.

  • Experience in web design, graphic design, social media, podcasts, etc.

About the Job

The Climate and Governance Variability in the Great Lakes Project (CGVG) at the University of Minnesota Duluth is seeking a postdoctoral scholar to work closely with a team of social and natural scientists to characterize the underlying variability in climate-driven disturbances, governance structures, and community capacities in the Great Lakes Basin. This is a 100%-time appointment as a postdoctoral scholar. The position is for one year and is renewable, subject to satisfactory performance and continued availability of funding. The position is funded through a National Science Foundation, Coastlines and People, Research Coordination Network grant. The purpose of the grant is to determine whether the current governance structures and capacities within coastal communities of the Great Lakes can adapt to and optimize responses to the changing variability in climate-driven disturbances. As such, an important activity will be the characterization of the underlying variability in climate-driven disturbances (physical and biological) and derivation of key economic and social indicators that can be used in conjunction with measures of community capacity and response. The person selected will be intensively involved in assembling relevant data sets, analyzing them, and communicating the results in a variety of formats. A person experienced in the integration of social and ecological systems is sought, but the individual fulfilling this role should at least have demonstrated a commitment to working at this interface. In addition, a background in modeling or advanced statistics with complex datasets or time series analysis is desired. Though experience with the Great Lakes will be beneficial, it is not an essential qualification; grounding in the theory of social-ecological systems is more necessary.

The precise responsibilities of the postdoc will vary depending on the candidate selected, but in addition to the primary scholarship to be performed, it will also include fulfilling a leadership role in organizing the Climate-Governance Variability in the Great Lakes (CGVG) annual network meetings. The post-doctoral fellow will help coordinate the research coordination network, including initiating and organizing regular communications among network participants managing an interactive collaborative platform, scheduling special communications (e.g., topical webinars), assisting PIs and facilitators with workshop planning, and collaboratively preparing proposals and manuscripts. This experience will result in the development of professional skills (e.g. grant writing, administrative tasks, publishing, etc.) that will serve them throughout their career. In addition, there will be opportunities for data synthesis, leading and writing associated manuscripts, while participating in the writing of others. There may also be opportunities to teach courses as determined in consultation with the lead faculty member (Dr. Ryan Bergstrom).

How To Apply

Applications must be submitted online.  To be considered for this position, please click the Apply button and follow the instructions.  You will have the opportunity to complete an online application for the position and attach a cover letter and resume.

Additional documents may be attached after application by accessing your “My Job Applications” page and uploading documents in the “My Cover Letters and Attachments” section.  Complete applications include the online application, cover letter, and resume/CV, plus an additional document as follows: (1) a list of three references including names and contact information. Even if you provide this information within the application, you must also attach this requested additional document.

This position will remain open until filled.

To request an accommodation during the application process, please e-mail [email protected] or call (612) 624-UOHR (8647).

Diversity

The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission.  The University is committed to attracting and retaining employees with varying identities and backgrounds.

The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression.  To learn more about diversity at the U:  http://diversity.umn.edu.

Background Check Information

Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.


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DEGREE REQUIRED