Cornell University-posted 3 days ago
$61,008 - $87,000/Yr
Full-time
Onsite • Ithaca, NY
5,001-10,000 employees

Postdoctoral Associate Biological and Environmental Engineering, Cornell University The College of Agriculture and Life Sciences (CALS) is a pioneer of purpose-driven science and Cornell University’s second largest college. We work across disciplines to tackle the challenges of our time through world-renowned research, education, and outreach. The questions we probe and the answers we seek focus on three overlapping concerns: We believe that achieving next-generation scientific breakthroughs requires an understanding of the world’s complex, interlocking systems. We believe that access to nutritious food and a healthy environment is a fundamental human right. We believe that ensuring a prosperous global future depends on the ability to support local people and communities everywhere. By working in and across multiple scientific areas, CALS can address challenges and opportunities of the greatest relevance, here in New York, across the nation, and around the world. The Anderson research group is seeking a Postdoctoral Associate to contribute independent and innovative research on the technical implications of decarbonization policy pathways for electric power systems. Desired experience includes optimization and simulation of electric power systems under uncertainty, programming in Python, Julia, and/or MATLAB, and excellent quantitative skills, including probability and data analysis.

  • Research (80%)
  • Publication & Presentation (10%)
  • Project Management & Mentorship (10%)
  • Provide oversight and mentorship to undergraduate and graduate students.
  • A PhD in engineering, operations research, or a related field.
  • A proven track record of independence and a strong enthusiasm for interdisciplinary research in energy systems
  • Excellent organizational, communication, time management skills, and demonstrated ability to work well as part of a team.
  • Experience working with power system operational and/or planning models (capacity expansion, resource adequacy, operational reliability) is highly valued
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