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We seek a top scholar at the interface between environmental economics and data science. This scholar will be expected to bring new tools, techniques, and insights to academic, yet policy relevant questions around incentives, markets, and interventions to improve environmental outcomes. The scholar will have expertise in at least one specific environmental challenge such as water, energy, biodiversity, agriculture, climate, or fisheries, and will combine modern data science to address issues around the design or causal evaluation of interventions to address large-scale environmental challenges. The scholarship is expected to be interdisciplinary (for example, the scholar may work with computer scientists, trade economists, or global change ecologists), novel, and policy relevant.

The scholar would contribute to teaching in Bren School’s Master’s in Environmental Science & Management (e.g., in the core class on environmental economics or with a new class using big data for causal policy design) and Master’s in Environmental Data Science (e.g., in a class on causal inference). We will prioritize candidates with both a promising research agenda in environmental economics and leadership skills that can lend support to the Master’s in Environmental Data Science program. Data science is a rapidly growing subfield within environmental economics and is a natural fit for the Bren School, which also has a world-class environmental economics faculty.

The University is especially interested in candidates who can contribute to the diversity and excellence of the academic community through research, teaching, and service as appropriate to the position.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.

• “Misconduct” means any violation of the policies or laws governing conduct at the applicant’s previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, dishonesty or unethical conduct, as defined by the employer.
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