Assistant Professor - AI & Machine Learning in Agricultural Economics • Provide teaching leadership in AI/ML and data-driven methods as applied to agricultural economics (machine learning ...
Assistant Professor - AI & Machine Learning in Agricultural Economics • Provide teaching leadership in AI/ML and data-driven methods as applied to agricultural economics (machine learning ...
Posting Details Posting Number F00354P Position Title Assistant Professor in Information Systems ... Applied machine learning: this course focuses on learning various machine learning methods ...
Posting Details Posting Number F00354P Position Title Assistant Professor in Information Systems ... Applied machine learning: this course focuses on learning various machine learning methods ...
The Assistant Professor is expected to oversee data engineering of electronic health data for machine learning applications, interoperability with electronic health record (EHR) systems, and ...
The Assistant Professor is expected to oversee data engineering of electronic health data for machine learning applications, interoperability with electronic health record (EHR) systems, and ...
The Assistant Professor is expected to oversee data engineering of electronic health data for machine learning applications, interoperability with electronic health record (EHR) systems, and ...
The Assistant Professor is expected to oversee data engineering of electronic health data for machine learning applications, interoperability with electronic health record (EHR) systems, and ...
Qualifications Candidates should have a doctoral degree in statistics, economics/econometrics, machine learning, computer science, or a related discipline by August 2026. Assistant Professor (Tenure ...
Qualifications Candidates should have a doctoral degree in statistics, economics/econometrics, machine learning, computer science, or a related discipline by August 2026. Assistant Professor (Tenure ...
Assistant or Associate Professor (Dynamics & Control) Location College Station, TX Open Date 8/12 ... and/or machine learning for aerospace control; safety-critical, verifiable and trustworthy ...
Assistant or Associate Professor (Dynamics & Control) Location College Station, TX Open Date 8/12 ... and/or machine learning for aerospace control; safety-critical, verifiable and trustworthy ...
... track Assistant Professor or Associate Professor with tenure. We seek candidates whose work ... machine learning, and computational methods for language. Qualifications Applicants must have ...
... track Assistant Professor or Associate Professor with tenure. We seek candidates whose work ... machine learning, and computational methods for language. Qualifications Applicants must have ...
... Professor positions with anticipated start dates in August 2027. Both positions will be full-time, ... or Statistical AI/Machine Learning. Evidence of interdisciplinary research and focus on ...
... Professor positions with anticipated start dates in August 2027. Both positions will be full-time, ... or Statistical AI/Machine Learning. Evidence of interdisciplinary research and focus on ...
Assistant / Associate Professor of Surgery - VITAL Lab (AI & Aortic Surgery Research)
Houston, TX · On-site
Assistant / Associate Professor of Surgery - VITAL Lab (AI & Aortic Surgery Research) Division ... Implement machine learning, deep learning, and computer vision models for: * Aortic disease ...
Assistant / Associate Professor of Surgery - VITAL Lab (AI & Aortic Surgery Research)
Houston, TX · On-site
Assistant / Associate Professor of Surgery - VITAL Lab (AI & Aortic Surgery Research) Division ... Implement machine learning, deep learning, and computer vision models for: * Aortic disease ...
... Professor positions with anticipated start dates in August 2027. Both positions will be full-time, ... or Statistical AI/Machine Learning. Evidence of interdisciplinary research and focus on ...
... Professor positions with anticipated start dates in August 2027. Both positions will be full-time, ... or Statistical AI/Machine Learning. Evidence of interdisciplinary research and focus on ...
Applicants will be considered for the faculty title of Assistant Professor. Specialties of interest ... machine learning are also welcomed where those approaches advance the underlying science or ...
Applicants will be considered for the faculty title of Assistant Professor. Specialties of interest ... machine learning are also welcomed where those approaches advance the underlying science or ...
Applicants will be considered at the levels of Assistant Professor and Associate Professor ... and/or machine learning for aerospace control; safety-critical, verifiable and trustworthy ...
Applicants will be considered at the levels of Assistant Professor and Associate Professor ... and/or machine learning for aerospace control; safety-critical, verifiable and trustworthy ...
Tenure Track: Assistant Professor - Artificial Intelligence in Soil and Crop Sciences
College Station, TX · On-site
Assistant Professor - Artificial Intelligence in Soil and Crop Sciences Soil and Crop Sciences ... machine learning, data analytics, or related computational approaches, along with experience in ...
Tenure Track: Assistant Professor - Artificial Intelligence in Soil and Crop Sciences
College Station, TX · On-site
Assistant Professor - Artificial Intelligence in Soil and Crop Sciences Soil and Crop Sciences ... machine learning, data analytics, or related computational approaches, along with experience in ...
Applicants will be considered at the levels of Assistant Professor and Associate Professor ... and/or machine learning for aerospace control; safety-critical, verifiable and trustworthy ...
Applicants will be considered at the levels of Assistant Professor and Associate Professor ... and/or machine learning for aerospace control; safety-critical, verifiable and trustworthy ...
Applicants will be considered for the faculty title of Assistant Professor. Specialties of interest ... machine learning are also welcomed where those approaches advance the underlying science or ...
Applicants will be considered for the faculty title of Assistant Professor. Specialties of interest ... machine learning are also welcomed where those approaches advance the underlying science or ...
... professor level beginning fall of 2027. The successful applicant will teach both at the ... Intelligence/Machine Learning (AI/ML), Robotics, Quantum, Chip Design & Manufacturing, and ...
... professor level beginning fall of 2027. The successful applicant will teach both at the ... Intelligence/Machine Learning (AI/ML), Robotics, Quantum, Chip Design & Manufacturing, and ...
We seek tenure-track Assistant Professor(s) whose research advances the use and understanding of ... Computational Methods for Agricultural Education o Focus on NLP, machine learning, and learning ...
We seek tenure-track Assistant Professor(s) whose research advances the use and understanding of ... Computational Methods for Agricultural Education o Focus on NLP, machine learning, and learning ...
We seek tenure-track Assistant Professor(s) whose research advances the use and understanding of ... Computational Methods for Agricultural Education o Focus on NLP, machine learning, and learning ...
We seek tenure-track Assistant Professor(s) whose research advances the use and understanding of ... Computational Methods for Agricultural Education o Focus on NLP, machine learning, and learning ...
Assistant or Associate Professor, Tenure Track or Tenured, Computer Science - Artificial Intelligenc
Waco, TX · On-site
... Professor in Artificial Intelligence (AI) . This position will begin in August 2027. Successful ... and machine learning. Successful candidates will have a commitment to excellence in teaching ...
Assistant or Associate Professor, Tenure Track or Tenured, Computer Science - Artificial Intelligenc
Waco, TX · On-site
... Professor in Artificial Intelligence (AI) . This position will begin in August 2027. Successful ... and machine learning. Successful candidates will have a commitment to excellence in teaching ...
ASSISTANT PROFESSOR - Advanced Imaging (Neuroimaging) [Req#: 882134, Position#: 126668]
Dallas, TX · On-site
... tenure-track Assistant Professor position in the field of methodological development for ... machine-learning based reconstruction and analysis approaches. Integration of Neuro MRI with ...
ASSISTANT PROFESSOR - Advanced Imaging (Neuroimaging) [Req#: 882134, Position#: 126668]
Dallas, TX · On-site
... tenure-track Assistant Professor position in the field of methodological development for ... machine-learning based reconstruction and analysis approaches. Integration of Neuro MRI with ...
Machine Learning Professor information
What does a machine learning professor do?
A Machine Learning Professor teaches university-level courses on machine learning, data science, and related topics. They conduct original research in the field, often publishing their findings in academic journals and presenting at conferences. In addition to lecturing, they mentor students, supervise theses or dissertations, and may collaborate with industry partners on research projects. Their work helps advance the understanding and applications of machine learning.
What are the key skills and qualifications needed to thrive as a machine learning professor, and why are they important?
To thrive as a Machine Learning Professor, you need deep expertise in machine learning algorithms, mathematics, and data science, typically supported by a Ph.D. in computer science or a related field. Familiarity with programming languages like Python and R, as well as tools such as TensorFlow, PyTorch, and academic research platforms, is essential. Exceptional communication, mentorship abilities, and enthusiasm for teaching help inspire and guide students and peers. These skills ensure effective research output, high-quality teaching, and the development of future leaders in the field.
How does a machine learning professor typically balance research, teaching, and mentorship responsibilities?
Machine Learning Professors usually split their time between conducting original research, teaching undergraduate and graduate courses, and mentoring students. Balancing these responsibilities can be challenging, particularly when managing multiple research projects and supervising student theses. Professors often collaborate with industry partners and other academic departments, which enhances research opportunities but also adds to their workload. Effective time management and prioritization are key to thriving in this dynamic environment, and universities often provide some flexibility in teaching loads or research support to help maintain this balance.
Tenure-Track: Assistant Professor
College Station, TX • On-site
Texas A&M University
• Colleges, Universities, and Professional Schools • 1 - 5K employees1,001 - 5,000 employees
Full-time
Re-posted 7 days ago
Texas A&M University rating
7.8
Based on 146 frontline employees who took The Breakroom Quiz
Job description
The Department of Agricultural Economics in the College of Agriculture and Life Sciences at Texas A&M University invites applications for five (5) full-time, 9-month, tenure-track positions at the rank of Assistant Professor. This strategic cluster hire will strengthen the Department's leadership in agricultural economics and agribusiness education, discovery, and engagement by building critical mass across four high-impact areas:
• Agricultural Finance
• Agricultural Real Estate & Appraisal
• Artificial Intelligence (AI) & Machine Learning in Agricultural Economics
• Managerial Agricultural Economics (two roles)
All five faculty members are expected to meaningfully contribute to teaching, research, and outreach/engagement, and to help advance the Department's mission as part of Texas A&M's land-grant system.
Common expectations across all five positions
Teaching
• Teach undergraduate and/or graduate courses aligned with the candidate's expertise and departmental needs.
• Contribute to curriculum design and continuous improvement, including development of new courses and modernized learning experiences.
• Mentor and advise students; contribute to graduate student training (as appropriate to role and departmental assignment).
Research
• Develop and sustain a high-quality, externally supported research program in the candidate's field area.
• Publish in peer-reviewed outlets appropriate to agricultural economics and related disciplines.
• Pursue external funding to support research, graduate students, and scholarly activities.
• Engage in collaborative research within the Department and across Texas A&M University, as appropriate.
Outreach / Engagement / Service
• Engage with agricultural and food industry stakeholders through outreach, applied economic analysis, and professional engagement,
• Build partnerships with industry, government agencies, and professional organizations to enhance student opportunities and increase the impact of research.
• Participate in departmental, college, and university service.
Role-specific responsibilities and focus areas
Candidates should indicate clearly which position(s) they are applying for. Applicants may be considered for more than one role if qualified.
Assistant Professor - Agricultural Finance
• Provide teaching leadership in agricultural finance and related areas such as financial management, rural financial markets, agricultural lending, credit analysis, commodity markets, derivatives, and risk management.
• Contribute to the development of a stand-alone Agricultural Finance theme in the B.S in Agricultural Economics by building on existing Department strengths.
• Develop an applied and/or policy-relevant research program addressing financial decision-making in agricultural and agribusiness settings (including but not limited to, farm credit, regional banking, capital markets serving agriculture, and commodity price risk management).
• Establish and maintain partnerships with the agricultural finance industry (e.g., farm credit, banking, lending institutions, and related professional communities) to support experiential learning and research relevance.
Assistant Professor - Agricultural Real Estate & Appraisal
• Provide teaching leadership in agricultural real estate, land economics, appraisal valuation, rural property markets, land use and policy, and related institutional and legal-economic topics.
• Help develop a stand-alone Agricultural Real Estate & Appraisal theme in the B.S in Agricultural Economics including strengthening professional alignment for students seeking appraisal-related credentials and careers.
• Develop a research program focused on rural/agricultural land markets and valuation, appraisal and investment analysis, land use change and policy, and/or related real estate economics questions pertinent to Texas and beyond.
• Build and maintain partnerships with appraisal practitioners, land professionals, real estate firms, agencies, and other stakeholder groups to enhance student career pathways and applied impact.
Assistant Professor - AI & Machine Learning in Agricultural Economics
• Provide teaching leadership in AI/ML and data-driven methods as applied to agricultural economics (machine learning, predictive analytics, big data economics, decision analytics, applied econometrics/data science tools).
• Contribute to new curriculum development and/or courses that equip agricultural economics and agribusiness students to work effectively with modern data sources and AI-enabled analytical methods.
• Conduct a research program that advances AI/ML applications in agricultural economics and generates high-quality methodological and/or applied publications, with clear relevance and engagement with the agricultural and food sectors.
• Collaborate with other College of Agriculture and Life Sciences departments (and relevant campus units) to support the development of an interdisciplinary "AI in Agriculture" minor, including cross-listed courses and coordinated experiential learning opportunities.
Assistant Professor - Managerial Agricultural Economics (two roles)
• One role will provide teaching leadership for AGEC 317 (Economic Analysis for Agribusiness Management) and related courses in managerial economics, decision analysis, quantitative methods for firm-level problems, and agribusiness strategy.
• One role will contribute to the Dianne and M. Edward Rister '74 Agribusiness Entrepreneurship Program, with teaching responsibilities in agribusiness entrepreneurship and related courses. This role will support the program's experiential, student-centered approach to business planning, economic analysis, financial analysis, and venture development.
• For the Rister Program-focused role, responsibilities may include mentoring students as they evaluate the economic and financial feasibility of farm, ranch, agribusiness, rural, or metropolitan business ventures; develop comprehensive business plans; prepare and present economic analyses; prepare loan or capital investment requests; incorporate risk management strategies; and engage with entrepreneurs, lenders, financial experts, and other management professionals.
• Both roles will develop innovative learning experiences that strengthen students' quantitative decision-making capabilities, including optimization, forecasting, budgeting, sensitivity analysis, risk analysis, and applied economic and financial tools relevant to agribusiness management and entrepreneurship.
• Both roles will build applied research programs in managerial agricultural economics, such as firm behavior, production, marketing and financial decision-making, agribusiness strategy, entrepreneurship, value chain economics, risk management, business feasibility analysis, or related areas.
• Both roles will engage with agribusiness stakeholders, entrepreneurs, lenders, industry partners, and professional communities to ensure the relevance and practical impact of teaching, research, and outreach.
Qualifications
Required qualifications (all positions)
• Ph.D. in Agricultural Economics, Applied Economics, Economics, Agribusiness, Business, or a closely related discipline.
• Demonstrated potential for excellence in research, including a high-quality research pipeline.
• Demonstrated potential for high-quality teaching.
• Ability to communicate effectively with students, colleagues, and external stakeholders; commitment to collegiality and collaboration.
Preferred qualifications (general; role-dependent)
• Evidence of (or strong potential for) external funding success.
• Experience developing curriculum, new courses, or experiential learning activities.
• Demonstrated ability to build partnerships with private industry, government agencies, and/or professional organizations.
• For the AI/ML role: experience in teaching leadership in AI/ML and data-driven methods as applied to agricultural economics, including predictive analytics, applied econometrics, and AI modeling approaches such as time-series forecasting models, neural networks, large language models, computer vision, and machine-learning decision-support tools for food and agribusiness systems.
• For the Real Estate & Appraisal role: professional engagement with valuation/appraisal practice and/or land market analysis.
• For the Agricultural Finance role: applied experience or professional engagement in agricultural lending/finance and risk management contexts.
• For the Managerial Agricultural Economics roles: demonstrated capacity to teach quantitative managerial economics and applied decision analysis; for the Rister Program-focused role, experience with experiential learning, business plan development, feasibility analysis, student venture mentoring, and engagement with entrepreneurs or agribusiness professionals is preferred.
Application Instructions
For full consideration, please submit all applications by August 25 th , 2026, through Interfolio at apply.interfolio.com/187665 . Review of applications will continue until the positions are filled.
Applicants must submit:
1) Cover letter (identify which of the four roles you are applying for; you may select more than one)
2) Curriculum vitae
3) Personal statement to include philosophy and plans for research, teaching, and service, as applicable
4) Names and contact information for three references (letters may be requested later)
Applications must be submitted electronically via Texas A&M University's faculty hiring system (details provided in the official posting).
Contact
For questions about the cluster hire, please contact:
Dr. Simon Somogyi, Head of Department, simon.somogyi@ag.tamu.edu or Dr. Marco Palma, Chair of the Search Committee, mapalma@tamu.edu , Department of Agricultural Economics, College of Agriculture and Life Sciences, Texas A&M University.
Application Process
This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.
Apply Now
• Agricultural Finance
• Agricultural Real Estate & Appraisal
• Artificial Intelligence (AI) & Machine Learning in Agricultural Economics
• Managerial Agricultural Economics (two roles)
All five faculty members are expected to meaningfully contribute to teaching, research, and outreach/engagement, and to help advance the Department's mission as part of Texas A&M's land-grant system.
Common expectations across all five positions
Teaching
• Teach undergraduate and/or graduate courses aligned with the candidate's expertise and departmental needs.
• Contribute to curriculum design and continuous improvement, including development of new courses and modernized learning experiences.
• Mentor and advise students; contribute to graduate student training (as appropriate to role and departmental assignment).
Research
• Develop and sustain a high-quality, externally supported research program in the candidate's field area.
• Publish in peer-reviewed outlets appropriate to agricultural economics and related disciplines.
• Pursue external funding to support research, graduate students, and scholarly activities.
• Engage in collaborative research within the Department and across Texas A&M University, as appropriate.
Outreach / Engagement / Service
• Engage with agricultural and food industry stakeholders through outreach, applied economic analysis, and professional engagement,
• Build partnerships with industry, government agencies, and professional organizations to enhance student opportunities and increase the impact of research.
• Participate in departmental, college, and university service.
Role-specific responsibilities and focus areas
Candidates should indicate clearly which position(s) they are applying for. Applicants may be considered for more than one role if qualified.
Assistant Professor - Agricultural Finance
• Provide teaching leadership in agricultural finance and related areas such as financial management, rural financial markets, agricultural lending, credit analysis, commodity markets, derivatives, and risk management.
• Contribute to the development of a stand-alone Agricultural Finance theme in the B.S in Agricultural Economics by building on existing Department strengths.
• Develop an applied and/or policy-relevant research program addressing financial decision-making in agricultural and agribusiness settings (including but not limited to, farm credit, regional banking, capital markets serving agriculture, and commodity price risk management).
• Establish and maintain partnerships with the agricultural finance industry (e.g., farm credit, banking, lending institutions, and related professional communities) to support experiential learning and research relevance.
Assistant Professor - Agricultural Real Estate & Appraisal
• Provide teaching leadership in agricultural real estate, land economics, appraisal valuation, rural property markets, land use and policy, and related institutional and legal-economic topics.
• Help develop a stand-alone Agricultural Real Estate & Appraisal theme in the B.S in Agricultural Economics including strengthening professional alignment for students seeking appraisal-related credentials and careers.
• Develop a research program focused on rural/agricultural land markets and valuation, appraisal and investment analysis, land use change and policy, and/or related real estate economics questions pertinent to Texas and beyond.
• Build and maintain partnerships with appraisal practitioners, land professionals, real estate firms, agencies, and other stakeholder groups to enhance student career pathways and applied impact.
Assistant Professor - AI & Machine Learning in Agricultural Economics
• Provide teaching leadership in AI/ML and data-driven methods as applied to agricultural economics (machine learning, predictive analytics, big data economics, decision analytics, applied econometrics/data science tools).
• Contribute to new curriculum development and/or courses that equip agricultural economics and agribusiness students to work effectively with modern data sources and AI-enabled analytical methods.
• Conduct a research program that advances AI/ML applications in agricultural economics and generates high-quality methodological and/or applied publications, with clear relevance and engagement with the agricultural and food sectors.
• Collaborate with other College of Agriculture and Life Sciences departments (and relevant campus units) to support the development of an interdisciplinary "AI in Agriculture" minor, including cross-listed courses and coordinated experiential learning opportunities.
Assistant Professor - Managerial Agricultural Economics (two roles)
• One role will provide teaching leadership for AGEC 317 (Economic Analysis for Agribusiness Management) and related courses in managerial economics, decision analysis, quantitative methods for firm-level problems, and agribusiness strategy.
• One role will contribute to the Dianne and M. Edward Rister '74 Agribusiness Entrepreneurship Program, with teaching responsibilities in agribusiness entrepreneurship and related courses. This role will support the program's experiential, student-centered approach to business planning, economic analysis, financial analysis, and venture development.
• For the Rister Program-focused role, responsibilities may include mentoring students as they evaluate the economic and financial feasibility of farm, ranch, agribusiness, rural, or metropolitan business ventures; develop comprehensive business plans; prepare and present economic analyses; prepare loan or capital investment requests; incorporate risk management strategies; and engage with entrepreneurs, lenders, financial experts, and other management professionals.
• Both roles will develop innovative learning experiences that strengthen students' quantitative decision-making capabilities, including optimization, forecasting, budgeting, sensitivity analysis, risk analysis, and applied economic and financial tools relevant to agribusiness management and entrepreneurship.
• Both roles will build applied research programs in managerial agricultural economics, such as firm behavior, production, marketing and financial decision-making, agribusiness strategy, entrepreneurship, value chain economics, risk management, business feasibility analysis, or related areas.
• Both roles will engage with agribusiness stakeholders, entrepreneurs, lenders, industry partners, and professional communities to ensure the relevance and practical impact of teaching, research, and outreach.
Qualifications
Required qualifications (all positions)
• Ph.D. in Agricultural Economics, Applied Economics, Economics, Agribusiness, Business, or a closely related discipline.
• Demonstrated potential for excellence in research, including a high-quality research pipeline.
• Demonstrated potential for high-quality teaching.
• Ability to communicate effectively with students, colleagues, and external stakeholders; commitment to collegiality and collaboration.
Preferred qualifications (general; role-dependent)
• Evidence of (or strong potential for) external funding success.
• Experience developing curriculum, new courses, or experiential learning activities.
• Demonstrated ability to build partnerships with private industry, government agencies, and/or professional organizations.
• For the AI/ML role: experience in teaching leadership in AI/ML and data-driven methods as applied to agricultural economics, including predictive analytics, applied econometrics, and AI modeling approaches such as time-series forecasting models, neural networks, large language models, computer vision, and machine-learning decision-support tools for food and agribusiness systems.
• For the Real Estate & Appraisal role: professional engagement with valuation/appraisal practice and/or land market analysis.
• For the Agricultural Finance role: applied experience or professional engagement in agricultural lending/finance and risk management contexts.
• For the Managerial Agricultural Economics roles: demonstrated capacity to teach quantitative managerial economics and applied decision analysis; for the Rister Program-focused role, experience with experiential learning, business plan development, feasibility analysis, student venture mentoring, and engagement with entrepreneurs or agribusiness professionals is preferred.
Application Instructions
For full consideration, please submit all applications by August 25 th , 2026, through Interfolio at apply.interfolio.com/187665 . Review of applications will continue until the positions are filled.
Applicants must submit:
1) Cover letter (identify which of the four roles you are applying for; you may select more than one)
2) Curriculum vitae
3) Personal statement to include philosophy and plans for research, teaching, and service, as applicable
4) Names and contact information for three references (letters may be requested later)
Applications must be submitted electronically via Texas A&M University's faculty hiring system (details provided in the official posting).
Contact
For questions about the cluster hire, please contact:
Dr. Simon Somogyi, Head of Department, simon.somogyi@ag.tamu.edu or Dr. Marco Palma, Chair of the Search Committee, mapalma@tamu.edu , Department of Agricultural Economics, College of Agriculture and Life Sciences, Texas A&M University.
Application Process
This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.
Apply Now
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Pay
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About Texas A&M AgriLife
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Industry
Colleges, universities, and professional schools
Company size
1,001 - 5,000 Employees
Headquarters location
College Station, TX, US
Year founded
1914