The Center for Global Sustainability (CGS) at the University of Maryland (UMD) is hiring up to three Postdoctoral Research Associates to support climate and sustainability research. This full-time, two-year position requires strong research, project management, writing, and communication skills, with a focus on linking analysis and policy. The associate will collaborate with CGS faculty, researchers, and partners to develop innovative approaches for achieving ambitious climate and sustainability goals at various levels. Research may involve quantitative modeling (e.g., GCAM), empirical methods, qualitative/mixed methods, or analyses of energy systems, land use, and climate forcers shaping policy debates.
Physical Demands: Prolonged periods sitting at a desk and working on a computer
Preferences:
• Expertise in climate, energy, environment, and/or sustainability issues.
• Background in quantitative analysis and modeling.
• Strong coding skills in R and/or Python, where appropriate for the candidate’s discipline.
• Excellent English language proficiency required.
• Excellent writing skills.
• Excellent communication skills and the ability to work in a team environment.
Licenses/ Certifications: None
APPLICATION DOCUMENTS: Cover letter addressing interest and relevant qualifications including quantitative skills, resume, first authored paper or writing sample
TELEWORK ELIGIBLE: Eligible to telework, on average, 2 days per week.
Additional Job Details
Required Application Materials:
• Cover Letter addressing interest and relevant qualifications including quantitative skills
• Resume
Additional Benefits
• Work closely with the research team in a collaborative environment
• Develop skills in quantitative data analysis
• Opportunities for first-authored manuscripts
• Mentorship in grant writing
• Faculty status at the University of Maryland
We look forward to your application!Additional Job Details
• Cover Letter addressing interest and relevant qualifications including quantitative skills
• Resume
Best Consideration Date: June 15,2025
Posting Close Date: N/A
Open Until Filled: Yes
Other:Additional Benefits
• Work closely with the research team in a collaborative environment
• Develop skills in quantitative data analysis
• Opportunities for first-authored manuscripts
• Mentorship in grant writing
• Faculty status at the University of MarylandWe look forward to your application!
For more information on Financial Disclosure, please visit Maryland's State Ethics Commission website.
For more information on Regular Faculty benefits, select this link.
Offers of employment are contingent on completion of a background check. Information reported by the background check will not automatically disqualify anyone from employment. Before any adverse decision, the finalist will have an opportunity to provide information to the University regarding disclosable background check information. The University reserves the right to rescind the offer of employment or otherwise decline or terminate employment if the information reported by the background check is deemed incompatible with the position, regardless of when the background check is completed.
The successful candidate must complete employment eligibility verification (on Form I-9) by presenting documents that establish identity and work authorization within the timeframe required by federal immigration law, and where applicable, to demonstrate renewed employment authorization. Failure to complete employment eligibility verification or reverification within the timeframe set forth by law may result in suspension or termination of employment.
The University of Maryland, College Park is an Equal Opportunity Employer. All qualified applicants will receive equal consideration for employment. Please read the University’s Equal Employment Opportunity Statement of Policy.
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Skills Required
- Strong research skills
- Project management skills
- Writing skills
- Communication skills
- Expertise in climate, energy, environment, or sustainability issues
- Background in quantitative analysis and modeling
- Strong coding skills in R and/or Python
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