Assistant or Associate Professor in Data Science

Colorado State University
Fort Collins, Colorado, United States
05 Nov 2017
End of advertisement period
03 Dec 2017
Contract Type
Full Time

Description of Work Unit

The Department of Computer Science at Colorado State University has over 750 undergraduate majors and 150 graduate students in masters and Ph.D. programs. The department has 20 tenure-track faculty with strong research programs in artificial intelligence, big data, bioinformatics, computer vision, human-computer interaction, networks, parallel and distributed computing, security, and software engineering. More information may be viewed at

Colorado State University is a Carnegie Research I institution located in Fort Collins, 60 miles north of Denver, against the foothills of the Rocky Mountains. Enhanced by relationships with CSU, Fort Collins has become a magnet for highly innovative new industries, and it is at the forefront of clean and alternative energy technologies, software/hardware sectors, telecommunications, aerospace and biotechnology. Northern Colorado’s strengths are increasingly recognized at a national level, for example in the recent “Places of Invention” exhibit at the Smithsonian Institution’s National Museum of American History. Fort Collins consistently ranks high in quality of life polls (, and the Rocky Mountains provide world-class outdoor recreational opportunities.

Position Summary

The Department of Computer Science at Colorado State University (CSU) solicits applications for a tenure-track faculty position at the level of assistant professor beginning fall 2018; exceptional candidates at the level of associate professor will also be considered. Applicants must have a Ph.D. in computer science or a related area and demonstrate potential for excellence in research, teaching, service, and research in data science and machine learning.

Conditions of Employment

Pre-employment Criminal Background Check (required for new hires)

Required Job Qualifications

  1. Ph.D. in computer science, computer engineering, or a related field by start of the appointment.
  2. Applicant’s research expertise in a relevant area.

Preferred Job Qualifications

Research area in computational data science; for example, machine learning, big data, and other emerging areas.
Ability to contribute to the development and teaching of computational data science courses at all levels, in collaboration with data science partners in Statistics and Mathematics.

Special Instructions to Applicants

For full consideration, applications must be received by 11:59 pm (MT) on 12/15/2017. A complete application includes a cover letter, complete CV, teaching and research statements, and three letters of reference. The CV must address teaching experience. Letter referees will be emailed immediately upon submission of an application with a request to upload a letter of recommendation. Letters of reference must be submitted by December 22, 2017 for full consideration. Applications of semifinalist candidates, including letters of reference, will be made available for review by the entire faculty of the Department of Computer Science.

Background Check Policy Statement

Colorado State University (CSU) strives to provide a safe study, work, and living environment for its faculty, staff, volunteers and students. To support this environment and comply with applicable laws and regulations, CSU conducts background checks. The type of background check conducted varies by position and can include, but is not limited to, criminal (felony and misdemeanor) history, sex offender registry, motor vehicle history, financial history, and/or education verification. Background checks will be conducted when required by law or contract and when, in the discretion of the university, it is reasonable and prudent to do so.

EEO Statement

Colorado State University is committed to providing an environment that is free from discrimination and harassment based on race, age, creed, color, religion, national origin or ancestry, sex, gender, disability, veteran status, genetic information, sexual orientation, gender identity or expression, or pregnancy and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Colorado State University is an equal opportunity/equal access/affirmative action employer fully committed to achieving a diverse workforce and complies with all Federal and Colorado State laws, regulations, and executive orders regarding non-discrimination and affirmative action. The Office of Equal Opportunity is located in 101 Student Services.

The Title IX Coordinator is the Executive Director of the Office of Support and Safety Assessment, 123 Student Services Building, Fort Collins, CO 80523 -2026, (970) 491-7407.

The Section 504 and ADA Coordinator is the Executive Director of Human Resources and Equal Opportunity, Office of Equal Opportunity, 101 Student Services Building, Fort Collins, CO 80523-0160, (970) 491-5836.

Diversity Statement

The Department of Computer Science is committed to diversity and inclusion and expects candidates to have the ability to advance the department’s efforts in these areas.

Search Contact Chuck Anderson,

Essential Duties

Job Duty Category Teaching Duty/Responsibility

Teaching 2 – 3 courses per year in computer science. Courses to be taught include some from the lower division courses in the computer science core and graduate courses in an area of specialization.

Percentage Of Time 45 Job Duty Category Research Duty/Responsibility

This faculty member would perform research in computer science and related areas such as data science and machine learning.

Percentage Of Time 45 Job Duty Category Service and Outreach Duty/Responsibility

There will be many opportunities to interact with companies with an interest in computer science, software development and data analytics. The Department of Computer Science is also actively engaged in efforts to promote diversity and inclusion; there will also be opportunities for new faculty to provide related service.