Recruitment/Posting Title NTT Assistant Teaching Professor Department SEBS-Agricultural Econ & Mktg Salary Commensurate With Experience Posting Summary The Department of Agricultural, Food, and Resource Economics is actively recruiting for the position of Assistant Teaching Professor, seeking a candidate with strong expertise in Machine Learning Applications in Economics. This non-tenure track role is strategically designed to explore and enhance the intersection of machine learning, economics, and various related fields. The successful candidate will contribute valuable insights to areas such as microeconomics, macroeconomics, econometrics, agricultural economics, business management, finance, international trade, food systems, and sustainable and regenerative development.
A significant focus of this position is the expansion of the department’s Data Analytics program. The Assistant Teaching Professor will play a pivotal role in developing and delivering courses that contribute to this growing concentration. By integrating machine learning and data-driven approaches into the curriculum, the candidate will strengthen the department’s capacity to prepare students for careers in data analytics, agricultural economics, and related fields.
The candidate is expected to guide students in effectively applying their acquired knowledge to real-world challenges, fostering its integration into both academic pursuits and career development. Through innovative course design and dynamic instruction, the Assistant Teaching Professor will empower students to bridge theoretical concepts with practical applications, positioning them to excel in an increasingly data-centric economic landscape.

Key Responsibilities:

Teaching:
The Assistant Teaching Professor will play a pivotal role in delivering high-caliber instruction at both the undergraduate and graduate levels, with a particular emphasis on integrating machine learning applications into agricultural economics and related fields. The candidate will design and implement courses that bridge theoretical knowledge with practical applications, fostering a deep understanding of the connections between machine learning and economics. This teaching will be informed and enriched by the candidate’s commitment to rigorous, cutting-edge research endeavors.

By leveraging machine learning techniques to address pressing economic challenges, the Assistant Teaching Professor will incorporate research insights into the classroom, providing students with experiential learning opportunities rooted in real-world applications. Additionally, the candidate is expected to engage in collaborative research with fellow faculty and industry partners, ensuring that teaching remains at the forefront of emerging developments in the field. These collaborative efforts will not only enhance the department’s academic vibrancy but also create a feedback loop where research discoveries directly inform teaching practices, equipping students with the skills and knowledge to tackle complex, data-driven economic problems.

Advising:
A key aspect of this role is to provide academic and career advising to students with an interest in machine learning applications within the economic landscape. The Assistant Teaching Professor will actively mentor students, guiding them toward academic excellence and assisting in their professional development. A supportive and engaging advising approach will contribute to the overall success and growth of students.

Service:
Active participation in departmental and university service activities is expected. The Assistant Teaching Professor will contribute to committees, attend departmental meetings, and engage in collaborative initiatives that enhance the academic community. By actively participating in service activities, the candidate will contribute to the overall academic culture and development of the department.

Position Status Full Time Posting Number 24FA1328 Posting Open Date 12/20/2024 Posting Close Date 02/28/2025