Jacobs Technion-Cornell Institute

Position ID:JacobsInstitute-POP [#16573]
Position Title: Professor of Practice in Data Science, Machine Learning
Position Type:Non tenure-track faculty
Position Location:New York, New York 10044, United States [map]
Subject Areas: Data Science
Machine Learning
Appl Deadline:2021/02/22 11:59PMhelp popup (posted 2020/07/22, listed until 2021/02/22)
Position Description:    

*** the list date or deadline for this position has passed and new applications are no longer being accepted. ***

The Jacobs Technion-Cornell Institute at Cornell Tech is looking to fill an endowed Professor of Practice position in data science and machine learning. We seek an experienced professional with a record of success in the application of machine learning or data-related techniques and principles (e.g., statistics, knowledge discovery, visualization, etc.) in an industry or government setting, with an interest and comfort in teaching master’s degree-level students. The Professor of Practice will be expected to teach at least one master’s course per semester, including a new Urban Data course in Spring of 2021; to mentor student projects; and to help facilitate and participate in engagement with external non-academic partners. It would also be possible for the candidate to pursue innovation and experimentation in areas related to data science and machine learning. 

What makes this position particularly exciting is the opportunity to be part of a unique and constantly-evolving academic environment whose charter is to experiment in education, research, and entrepreneurship. Cornell Tech is a place that values the work of practitioners, integrating a real-world perspective into teaching and research. In the Jacobs Institute, we embrace transdisciplinary work and favor faculty who are agile and love to explore new things. Given the fundamental roles of data science and machine learning in everything we do at Cornell Tech, this position could have significant influence across multiple departments and campuses, as well as real impact in New York City and beyond. 

The Professor of Practice title is used for outstanding faculty with high-level experience in industry or equivalent. This is a non-tenure track position to be located on our campus on Roosevelt Island in New York City, and comes with a three-year renewable term. A 50% or 80% appointment may be possible. We will begin reviewing applications on a rolling basis starting on October 1, and will be accepting applications until we fill the position.

This opportunity has been made possible by a generous gift from the Secunda Family Foundation.  


        Candidates must have significant leadership experience and hold a senior technical, research or management position in industry or other equivalent non-academic organization plus a bachelor’s degree in engineering or a related scientific or technical field. A master’s or Ph.D. is highly preferred. Advanced degrees may be in business or related fields. Professors of Practice must be leaders who remain current with standard practices and technological changes in their field.

        15+ years of experience in industry (including startups) or government in developing machine learning- and/or data-related technology and/or applying them in impactful ways with concrete outcomes 

        Some teaching experience, preferably in sizable graduate-level classes, in either Data Science or Machine Learning 

        A catalogue of peer-reviewed publications and/or presentations; could include patents, books, conference papers and talks, TED talks, etc. 

        Useful to have: experience in creating and implementing Data Science or Machine Learning curricula at the undergraduate or graduate level 

To apply: Applications should be submitted via AcademicJobsOnline.org at https://academicjobsonline.org/ajo/jobs/16573 and should include the following: 


        Reference letters 

        Statement of relevant accomplishment (1-3 pages) 

        Teaching statement (1-3 pages) 

Questions may be directed to hr@tech.cornell.edu. 

About the Jacobs Technion-Cornell Institute and Cornell Tech 

Founded as a unique joint venture between Cornell University and the Technion–Israel Institute of Technology, the Jacobs Technion-Cornell Institute is a critical part of Cornell Tech, the revolutionary model for graduate education established as a result of the City of New York’s 2010 challenge to create a new applied science and engineering campus. Cornell Tech focuses on creating pioneering leaders and technologies for the digital age, through research, technology commercialization, and graduate-level education at the professional master’s, doctoral and postdoctoral levels. 

As a cornerstone of Cornell Tech, the Jacobs Institute shares the same broad mission. Faculty and graduate students collaborate on research and share resources seamlessly across all Cornell Tech programs. Nonetheless, the Institute has its own unique mission as well – to foster radical experimentation at the intersection of research, education, and entrepreneurship, and to transform key industries through technological innovation, deep-tech startups, and uniquely skilled talent. We encourage translational research that ultimately serves the worldwide common good, through a set of industry-focused “hubs” that address contemporary social and economic need around which key programs and initiatives are centered. Jacobs also supports innovative entrepreneurial efforts in deep technology through its Runway Startup Postdoc Program.

At the Jacobs Institute and Cornell Tech, we offer a rich array of services, programs and benefits to help employees advance in their career and enhance the quality of personal life, including workshops, childcare and adoption assistance, parental leave, flexible work options. Diversity and Inclusion are a part of Cornell University's heritage. We are a recognized employer and educator valuing AA/EEO, Protected Veterans, and Individuals with Disabilities. 

Application Materials Required:
Submit the following items online at this website to complete your application:
And anything else requested in the position description.

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