15 days old
2018-06-082018-07-07

Professor of Practice in Data Science, Machine Learning

Cornell University
Ithaca, NY
  • Job Code
    WDR-00015171-3
Professor of Practice in Data Science, Machine Learning

Applications are invited from experienced professionals in Data Science and Machine Learning for a full-time non-tenure-track faculty position as the Secunda Family Professor of Practice in the Jacobs Technion-Cornell Institute at Cornell Tech in New York City. The position carries a three-year renewable term.

Our modern digital world generates enormous amounts of data, and Data Science plays a crucial role in helping us understand the phenomena from which the data arises and in creating tools and techniques for extracting value from it. Machine Learning science and technology is critical to effective use of data in a variety of settings, and is essential in facilitating the practical success of artificial intelligence systems. Following Cornell Tech's mission of integrating technology, business, law and design in service of economic impact and societal good, and the Jacobs Institutes emphasis on transdisciplinary, translational, out-of-the-box research, we take a broad and multi-faceted view of Data Science and of Machine Learning. Both are essential pillars supporting our efforts in health tech, connective media, cybersecurity, the built environment, financial technology, and other critical application domains. Elements of security and privacy, as well as ethical uses of data, are also important to us.

We seek a candidate with extensive, successful experience with applications of Data Science and/or Machine Learning and a track record of excellence in research and applications as well as demonstrated teaching excellence - a candidate who can complement and enhance our current world-class faculty. Prior success may be manifested through impactful industrial research, academic research, technology transfer, or entrepreneurial endeavors. Successful candidates will provide a strong contribution to teaching at the Masters degree level, and will be expected to contribute to mentoring/advising of class and entrepreneurial projects. The ideal Professor of Practice will also collaborate with faculty on innovative research and external engagement, lending a key real-world perspective to our efforts.

The Professor of Practice will be able to leverage Cornell Tech expertise in areas such as artificial intelligence and decision-making, human/computer interaction, security and privacy, and operations research, and tap into Cornell Techs unique network of collaborations that include Cornell University in Ithaca, NY; the Technion - Israel Institute of Technology in Haifa, Israel; Weill Cornell Medicine in New York City; and key elements of the rich ecosystem of New York City.

Qualifications

  • PhD or equivalent preferred
  • Teaching experience, preferably in sizable graduate-level classes, in either Data Science or Machine Learning
  • 15+ years of experience in industry (including startups) or government in developing Data Science or Machine Learning technology and/or applying them in impactful ways with concrete outcomes
  • A catalogue of peer-reviewed publications and/presentations; could include patents, books, conference, 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 include the following and must be submitted via Academic Jobs online at https://academicjobsonline.org/ajo/jobs/11278

  • CV
  • Reference letters
  • Statement of relevant accomplishment
  • Teaching statement

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

About Cornell Tech and The Jacobs Technion-Cornell Institute

Founded as a unique joint venture between Cornell University and the Technion-Israel Institute of Technology, the Jacobs Technion-Cornell Institute is an integral academic partner at Cornell Tech, the revolutionary model for graduate education established as a result of the City of New Yorks 2010 challenge to create a new or expanded 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 masters, 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 programs. Nonetheless, the Institute has its own unique mission as well - to embody the collaboration between Cornell and the Technion and to energetically push the boundaries of academia. The Jacobs Institute emphasizes a transdisciplinary view of science and encourages 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. As an independent entity, the Institute is afforded the autonomy to expand the boundaries of academia without the constraints of a traditional university structure, allowing radical experimentation with research, degree programs, and entrepreneurial initiatives.

Overall 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.

Employment Assistance:

If you require an accommodation for a disability in order to complete an employment application or to participate in the recruiting process, you are encouraged to contact Cornell University's Office of Workforce Policy and Labor Relations at voice (607) 255-6866, fax (607) 255-0298, or email at equalopportunity@cornell.edu .

Applicants that do not have internet access are encouraged to visit your local library, or local Department of Labor. You may also visit the office of Workforce Recruitment and Retention Monday - Friday between the hours of 8:30 a.m. 4:30 p.m. to use a dedicated workstation to complete an online application.

Notice to Applicants:

Please read the required Notice to Applicants statement by clicking here . This notice contains important information about applying for a position at Cornell as well as some of your rights and responsibilities as an applicant.

EEO Statement:

Diversity and Inclusion are a part of Cornell Universitys heritage. We are a recognized employer and educator valuing AA/EEO, Protected Veterans and Individuals with Disabilities. Cornell University is an innovative Ivy League university and a great place to work. Our inclusive community of scholars, students, and staff impart an uncommon sense of larger purpose, and contribute creative ideas to further the university's mission of teaching, discovery, and engagement.

2018-06-07-07:00

About Us
Cornell University is an innovative Ivy League university and a great place to work. Our inclusive community of scholars, students and staff impart an uncommon sense of larger purpose and contribute creative ideas to further the university's mission of teaching, discovery and engagement. With our main campus located in Ithaca, NY, Cornell's far-flung global presence includes the medical college's campuses on the Upper East Side of Manhattan and Doha, Qatar, as well as the Cornell Tech campus located on Roosevelt Island in the heart of New York City.

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: employee wellness, workshops, childcare and adoption assistance, parental leave, flexible work options.





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Professor of Practice in Data Science, Machine Learning

Cornell University
Ithaca, NY

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