Adjunct Faculty Opportunity – NYC Campus (Starting Fall 2026)

Description

Description

• Program and Project Management Strategies (graduate level): This course will discuss the management of small- to medium-sized projects ($10k to $10M), with some introduction to the management of very large and complex projects. Concepts that will be introduced include the engineering design process, design tools, software-assisted decision-making and professional management skills.
• Intellectual Property in Technology and Business (graduate level): This course offers an assessment of intellectual property law for a technical, non-legal audience. It will cover different forms of IP protection (e.g., trademark, copyright, patents), with a primary focus on patents. The course will discuss the use of intellectual property on business strategy and how the available forms of IP affect business and technology development decisions. The course also discusses open-source software and its impact, and IP valuation.
• Data Analytics and AI (graduate level): Programming, analysis, and visualization of real data for the purposes of informing decision making in engineering problems. Statistical modeling in a practical and applied perspective; application of data analytics to bridge the gap between data and decisions; fundamentals of design of experiments.
• Probabilistic Methods in Engineering Design (graduate level): Applications of probabilistic methods in the analysis and synthesis of engineering systems. Review of basic probability concepts, random variables and distributions, modeling and quantification of uncertainty, testing the validity of assumed models, linear regression and correlation analyses, Monte Carlo simulation, reliability y analysis and reliability-based design. Prerequisite: undergraduate course in probability/statistics
• Applied Behavioral Science (undergraduate level): Leadership styles, power team building, conflict resolution, management resolution, interviewing techniques.
• Program and Project Management (undergraduate level): Scheduling, cost estimation/predictions, network analysis, optimization, resource/load leveling, risk/mitigation, quality/testing, international projects. Term project required. Provides validated preparation for the Project Management Institute CAPM certification.
• Enterprise System Design (undergraduate level): Design of complex enterprise systems and processes including enterprise requirements analysis, process-mapping, modeling, performance measurement, benchmarking, solution development, and change management
  

Responsibilities

• Deliver high-quality instruction for the assigned course(s) in an on-campus format.
• Prepare course materials, assignments, and assessments.
• Provide timely feedback to students and support their learning and professional development.
• Collaborate with faculty and program staff on both the NYC-Vanderbilt campus and the Nashville campus to ensure alignment with program goals.
  

Qualifications

• Advanced degree in Engineering, Data Science, Applied Mathematics, or a closely related field.
• Strong expertise in the course subject matter and experience with practical applications.
• Experience teaching at the graduate level preferred.
• Ability to engage and mentor students in a professional, industry-oriented environment.