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Full Professor - Big Data

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Position Details

Position Information

Position Title Full Professor - Big Data
Texas A&M Engineering

Texas A&M is located in the twin cities of Bryan and College Station, with a population of more than 175,000, and is conveniently located in a triangle formed by Dallas, Houston and Austin. Texas A&M has more than 55,000 graduate and undergraduate students enrolled. Research expenditures at Texas A&M total more than $820 million annually, ranking in the top tier of universities nationwide. With an endowment valued at more than $5 billion, the university ranks fourth among U.S. public universities and 10th overall. Texas A&M is aware that attracting and retaining exceptional faculty often depends on meeting the needs of two careers and having policies that contribute to work-life balance. For more information visit With over 400 tenured/tenure-track faculty members and more than 13,900 students, the Dwight Look College of Engineering is one of the largest engineering schools in the country. The college is ranked seventh in graduate studies and eighth in undergraduate programs among public institutions by U.S. News & World Report, with seven of the college’s 13 departments ranked in the Top 10. The Look College is also ranked 10th in the Academic Ranking of World Universities compiled by Shanghai Jiao Tong University. The American Society for Engineering Education ranks the Look College second in research expenditures.

EEO Statement

The members of Texas A&M Engineering are all Equal Opportunity/Affirmative Action/Veterans/Disability employers committed to diversity. It is the policy of these members to recruit, hire, train and promote without regard to race, color, sex, religion, national origin, age, disability, genetic information, veteran status, sexual orientation or gender identity.

Department Overview

The Dwight Look College of Engineering at Texas A&M University is leading a multi-disciplinary search for scholarly talent in the area of big data.

Job Summary

The Dwight Look College of Engineering at Texas A&M University invites applications for a senior position at the full professor level in the area of big data, broadly understood to encompass information and computational sciences, and their applications in engineering domains. Candidates who have demonstrated exceptional research achievement, success in leading team efforts at the university or national level, and who can create common ground across diverse engineering domains are especially encouraged to apply. The candidate is expected to grow and coalesce existing activity in the big data area. The department(s) in which the successful candidate is appointed, with the strong backing from college, will provide the necessary resources for this growth. Candidates having synergistic interests with existing areas of research strength, and those who will broaden and expand our current programs will generate the most interest. The successful candidate will be expected to teach at the undergraduate and graduate levels, develop an independent, externally funded research program, advise graduate students, serve the profession, and participate in all aspects of the Look College’s mission, with significant contributions to the excellence of our big data initiatives. The successful candidate will hold an appointment in one of departments of the Look College, or a joint appointment between departments if appropriate. Details concerning the academic departments and research programs of the Look College may be found at

Job Location College Station
Department Dean of Engineering
Required Education and Experience

Applicants must have an earned doctorate in an engineering discipline or a field related to big data.

Preferred Education and Experience
Other Requirements

Applicants should submit a cover letter, curriculum vitae, teaching statement, research statement, and a list of five references (including postal addresses, phone numbers and email addresses) by applying for this specific position at Full consideration will be given to applications received by December 1, 2016. Applications received after that date may be considered until positions are filled. It is anticipated the appointment will begin in fall 2017.

Posting Details

Posting Detail Information

Posting Number FVN0712014
Open Date 09/23/2014
Close Date
Open Until Filled Yes

Supplemental Questions

Required fields are indicated with an asterisk (*).

Applicant Documents

Required Documents
  1. Curriculum Vitae
  2. Cover Letter/Letter of Application
  3. Statement of Teaching
  4. Statement of Research
Optional Documents
  1. Other Document