advance knowledge, methods, or practice in their discipline. For this search, “AI” includes (but is not limited to) machine learning (ML), deep learning, reinforcement learning, optimization for/with ML, probabilistic modeling, trustworthy/responsible AI (fairness, safety, privacy, robustness, interpretability), human-centered AI, NLP, computer vision, robotics, scientific/physics-informed ML, AI systems and infrastructure, as well as domain-driven AI advancements in and across disciplines.

In addition to the disciplinary requirements for potential selection as a faculty in the Department of Marketing and Logistics, a qualified candidate will develop, advance, or rigorously evaluate AI methods, lead AI-centered applications that produce generalizable methodological advances (e.g., new algorithms, models, evaluation frameworks, datasets/benchmarks, or system designs), or design/adapt AI approaches to solve previously intractable questions in a domain leading to generalizable insights and advancements. Routine use of off-the-shelf AI tools that do not produce methodological innovation, or field-advancing knowledge is not sufficient for an AI faculty hire. Moreover, candidates must demonstrate the ability to combine AI-related research with substantive problems and issues in marketing, working collaboratively with department faculty and doctoral students.

Immigration/visa sponsorship may be available in very limited situations (e.g., F1/OPT to H-1b, H-1b change of employer), but all decisions concerning immigration/visa sponsorship will depend on an evaluation of complexity and risk.

Performance Objectives:

Demonstrate outstanding achievement in research. Sustain a record of impactful peer-reviewed publications in top-tier business journals. Create and deliver effective course materials. Create an engaging classroom environment. Demonstrate commitment to student success. Collaborate effectively with fellow instructors. Effective service to the Department, the College and/or University, and to the greater academic and business community. Education and Experience Requirements:

The minimum requirements for the position are a PhD in business and/or a related field and evidence of an ability to conduct high-quality research.

Additional Information:

Faculty in the department have a base salary between: $150,000-$200,000 for assistant professors, $200,000-$250,000 for associate professors, and $250,000-$450,000 for full professors. The offer for this position will be based on internal equity and the candidate's qualifications. 

How to Apply

To be considered, please submit your application electronically

https://osu.wd1.myworkdayjobs.com/en-US/OSUCareers/details/Open-Rank-Professor-of-AI-in-Marketing-and-Logistics_R158775-1?q=R158775

The university is an equal opportunity employer, including veterans and disability.

advance knowledge, methods, or practice in their discipline. For this search, “AI” includes (but is not limited to) machine learning (ML), deep learning, reinforcement learning, optimization for/with ML, probabilistic modeling, trustworthy/responsible AI (fairness, safety, privacy, robustness, interpretability), human-centered AI, NLP, computer vision, robotics, scientific/physics-informed ML, AI systems and infrastructure, as well as domain-driven AI advancements in and across disciplines.

In addition to the disciplinary requirements for potential selection as a faculty in the Department of Marketing and Logistics, a qualified candidate will develop, advance, or rigorously evaluate AI methods, lead AI-centered applications that produce generalizable methodological advances (e.g., new algorithms, models, evaluation frameworks, datasets/benchmarks, or system designs), or design/adapt AI approaches to solve previously intractable questions in a domain leading to generalizable insights and advancements. Routine use of off-the-shelf AI tools that do not produce methodological innovation, or field-advancing knowledge is not sufficient for an AI faculty hire. Moreover, candidates must demonstrate the ability to combine AI-related research with substantive problems and issues in marketing, working collaboratively with department faculty and doctoral students.

Immigration/visa sponsorship may be available in very limited situations (e.g., F1/OPT to H-1b, H-1b change of employer), but all decisions concerning immigration/visa sponsorship will depend on an evaluation of complexity and risk.

Performance Objectives:

Demonstrate outstanding achievement in research. Sustain a record of impactful peer-reviewed publications in top-tier business journals. Create and deliver effective course materials. Create an engaging classroom environment. Demonstrate commitment to student success. Collaborate effectively with fellow instructors. Effective service to the Department, the College and/or University, and to the greater academic and business community. Education and Experience Requirements:

The minimum requirements for the position are a PhD in business and/or a related field and evidence of an ability to conduct high-quality research.

Additional Information:

Faculty in the department have a base salary between: $150,000-$200,000 for assistant professors, $200,000-$250,000 for associate professors, and $250,000-$450,000 for full professors. The offer for this position will be based on internal equity and the candidate's qualifications. 

How to Apply

To be considered, please submit your application electronically

https://osu.wd1.myworkdayjobs.com/en-US/OSUCareers/details/Open-Rank-Professor-of-AI-in-Marketing-and-Logistics_R158775-1?q=R158775

The university is an equal opportunity employer, including veterans and disability.