Position Details
Position Information
| 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 |
Qualifications
| Minimum Education and Experience |
- Ph.D. in Agricultural Economics, Economics, or a related field, with a proven focus on machine learning applications.
- Expertise in areas such as microeconomics, macroeconomics, econometrics, agricultural economics, sustainable and regenerative development, food systems, business management, finance, and international trade.
- Proven ability to effectively apply machine learning techniques to address economic challenges.
- Demonstrable skills in teaching and mentoring students.
- Excellent presentation and communication skills.
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| Certifications/Licenses |
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| Required Knowledge, Skills, and Abilities |
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| Equipment Utilized |
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| Physical Demands and Work Environment |
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| Overview |
The Department: The Department of Agricultural, Food and Resource Economics, a research and teaching unit of the School of Environmental and Biological Sciences, is located on the scenic G. H. Cook Campus of
Rutgers, The State University of New Jersey in New Brunswick, New Jersey. The department is housed in the Cook Office Building. The department offers undergraduate and graduate degrees, with some curricula offered jointly with sister departments such as Food Science and Human Ecology. Its tenure-track faculty conduct applied research in agricultural economics or related fields, regularly employing post-doctoral researchers and interacting with stakeholders at the state, national, or international levels.
The School and Experiment Station: The School of Environmental and Biological Sciences is deeply committed to the three land-grant missions of teaching, research, and extension. Our faculty integrate teaching, research, and outreach to address real-world problems and encourage students to adopt the same approach to their educational experience at Rutgers. The School has 15 academic departments, 3400 undergraduate students, and 300 graduate students. The School's current strategic plan can be accessed at
https://sebs.rutgers.edu/strategic-plan/. The School is closely affiliated with Rutgers' New Jersey Agricultural Experiment Station, which contains three cooperative extension departments and manages research and community outreach programs across New Jersey and around the world. |
| Statement |
Rutgers is committed to diversity, equity, and inclusion; our priority to diversify our faculty ranks is outlined in the Rutgers
DEI strategic plan. The Department of Agricultural, Food and Resource Economics and Rutgers University is working to ensure our faculty composition reflects the diversity of our student population. We especially encourage applications from backgrounds underrepresented in agricultural economics including Black, Latinx, Indigenous, and LGBTQ+ scientists. |
Posting Details
| Special Instructions to Applicants |
Candidates should submit a letter of application,
curriculum vitae, concise statement of teaching and research foci and objectives (optional), diversity statement, and the names of three professional references. |
| Quick Link to Posting |
https://jobs.rutgers.edu/postings/241856 |
| Campus |
Rutgers University-New Brunswick |
| Home Location Campus |
Cook (RU-New Brunswick) |
| City |
New Brunswick |
| State |
NJ |
| Location Details |
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Pre-employment Screenings
All offers of employment are contingent upon successful completion of all pre-employment screenings. Immunization Requirements
Under Policy 100.3.1 Immunization Policy for Covered Individuals, if employment will commence during Flu Season, Rutgers University may require certain prospective employees to provide proof that they are vaccinated against Seasonal Influenza for the current Flu Season, unless the University has granted the individual a medical or religious exemption. Additional infection control and safety policies may apply. Prospective employees should speak with their hiring manager to determine which policies apply to the role or position for which they are applying. Failure to provide proof of vaccination for any required vaccines or obtain a medical or religious exemption from the University will result in rescission of a candidate's offer of employment or disciplinary action up to and including termination. Affirmative Action/Equal Employment Opportunity Statement
It is university policy to provide equal employment opportunity to all its employees and applicants for employment regardless of their race, creed, color, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any other category protected by law. As an institution, we value diversity of background and opinion, and prohibit discrimination or harassment on the basis of any legally protected class in the areas of hiring, recruitment, promotion, transfer, demotion, training, compensation, pay, fringe benefits, layoff, termination or any other terms and conditions of employment. For additional information please see the Non-Discrimination Statement at the following web address: http://uhr.rutgers.edu/non-discrimination-statement |
Rutgers University
Dec 18, 2024