Postdoctoral Research Associate

Responsibilities

• Collaborate with faculty to design and carry out interdisciplinary research central to the envisioned integrated assessment of hyperscale data center development in the Midwest.
• Develop analytical frameworks of evaluation for the environmental, technical, economic, social, and policy dimensions of data centers.
• Develop accessible models and other decision-support tools that support holistic understanding of tradeoffs across sectors for future scenario planning.
• Co-author and support high-impact, interdisciplinary research publications in leading sustainability and environmental science journals.
• Engage in collaborative grant writing and proposal development to sustain and expand the cohort's research initiatives.
• These are full-time positions available with an initial appointment of one-year, renewable for an additional year based on satisfactory performance and availability of funding.
• Required Qualifcations:
• Ph.D. (in hand by the starting date) in a relevant field, including, but not limited to, engineering, environmental science, hydrology, geography, economics, public policy, and data science. Applicants with an interdisciplinary degree are welcome.
• Demonstrated ability to lead research in at least one critical domain of the larger research effort.
• Strong analytical and methodological expertise, appropriate to the applicant's discipline, with a record of applying those methods to complex, real-world problems.
• A strong publication record in a field directly relevant to the envisioned program.
• Excellent communication skills and an ability to work collaboratively with researchers from a wide range of disciplines.
• Applicants must apply through Interfolio at https://apply.interfolio.com/182627 . Applications submitted through any other platform will not be considered. This position is posted on the Notre Dame Careers website for visibility purposes only.
• The University of Notre Dame seeks to attract, develop, and retain the highest quality faculty, staff and administration. The University is an Equal Opportunity Employer, and does not discriminate on the basis of race,

Benefits

Additional Information

Applicants must apply through Interfolio at https://apply.interfolio.com/182627 . Applications submitted through any other platform will not be considered. This position is posted on the Notre Dame Careers website for visibility purposes only. The University of Notre Dame invites applications for a cohort of up to three outstanding Postdoctoral Research Fellows to join a dynamic, interdisciplinary team undertaking a spatially explicit, contextually informed, and justice-centered assessment of the strategies and resources - including power, water, land, health, and workforce infrastructure - needed to inform current decision-making about data centers in Indiana and the Midwest in the near term and design the data centers of the future. This will start with the development of a framework for capturing the multidimensional and complex potential impacts (both positive and negative) that are unique to each community in the region. This assessment will also assess the local, state, and national level policies and strategies that can drive the sustainability of the changing landscape of data center growth in the region by integrating their social, technical, economic, and environmental implications for communities in the region and for the region itself. Notre Dame seeks to build a research cohort with diverse and complementary areas of expertise. In close collaboration with Notre Dame faculty and partners, the cohort will lead a series of research activities intended to create a strong foundation for long-term work. We particularly encourage applicants who can articulate how their unique combination of perspective, methods, and/or substantive focus will expand the collective capacity of the postdoctoral cohort and strengthen the project's ability to support resilient and equitable community responses to data center design and growth in the Midwest and beyond. Early activities will likely include, but are not limited to: Use of large language models and AI techniques to support data collection, synthesis, analysis, and construction of a modeling platform for key resource current and potential future demands, including electricity, water, land, and physical infrastructure; Data collection, analysis, and modeling for capturing social, economic, workforce, and health considerations, with particular emphasis on distributional effects, justice, and participatory methods; Policy analysis at the local, state, and federal levels

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