skip to main content

Important Notice

It appears you are using an older version of your browser. While some functions will be available, Maine JobLink works best with a modern browser such as the ones provided by:

Please download and install the latest version of the browser of your choice. We apologize for any inconvenience.

Assistant Professor in Computer Science (Data Science) (id:5

Click the Facebook, Google+ or LinkedIn icons to share this job with your friends or contacts. Click the Twitter icon to tweet this job to your followers. Click the link button to view the URL of the job, which then can be copied and pasted into an e-mail or other document.

Job Details
Job Order Number
Company Name
University of Maine
Physical Address

Orono, ME 04473
Job Description

Statement of the Job:

The University of Maine School of Computing and Information Science seeks applicants for a tenure-track Assistant Professor position, with an anticipated start date of September 1, 2020. Our primary target focus is the broad area of data science (machine learning, data mining, data analytics, graph analysis, data visualization), but we will consider exceptionally qualified candidates in any data science related area. This position is part of a cluster hire around an EPSCoR research grant on environmental DNA. The candidate is expected to participate in interdisciplinary collaborations with faculty in ecology, bioinformatics, marine science, and others in large scale analysis of spatially and temporally distributed sequence data. The candidate will also participate in the EPSCOR research program, develop and teach courses in Data Science and other areas of expertise, advise and mentor students, and contribute service to the School, College, and University. The position is expected to become joint with the planned Maine Center for Genetics in the Environment at the University of Maine.

About the University:

The University of Maine is a community of more than 11,200 undergraduate and graduate students, and 2,500 employees located on the Orono campus and throughout the state. UMaine is the state land and sea grant university and maintains a leadership role as the System’s flagship university. As a result, it is dedicated to providing excellent teaching, research, and service at the university, state, and national levels.

Further information about UMaine can be found at

The University of Maine offers a wide range of benefits for employees including, but not limited to, tuition benefits (employee and dependent), comprehensive insurance coverage including medical, dental, vision, life insurance, and short and long term disability as well as retirement plan options. As a former NSF ADVANCE institution, the University of Maine is committed to diversity in our workforce and to dual-career couples.

UMaine is located in beautiful Central Maine. Many employees report that a primary reason for choosing to come to UMaine is quality of life. Numerous cultural activities, excellent public schools, safe neighborhoods, high quality medical care, little traffic, and a reasonable cost of living make the greater Bangor area a wonderful place to live.

Learn more about what the Bangor region has to offer here.



  • PHD in Computer Science, Data Science or a related field, by date of hire.
  • Research experience and expertise in an area of data science.


  • Research experience and expertise in machine learning, data mining, data analytics, graph analysis, or data visualization, complementing the School’s existing research strengths in Artificial Intelligence (AI), Data Management, Distributed Systems, Human Computer Interaction (HCI), Cybersecurity/Privacy, Data Visualization, and Spatial Informatics.
  • Evidence of ability to participate in interdisciplinary collaborations with faculty in ecology, bioinformatics, and others engaged in large scale analysis of spatially and temporally distributed sequence data.
  • Successful teaching experience.
  • Documented participation in activities promoting inclusive excellence.

Other Information:

Materials must be submitted via “Apply For Position” below. You will need to create a profile and application; upload:

1.) a cover letter which describes your experience, interests, and suitability for the position
2.) a resume/curriculum vitae
3.) contact information for three professional references
4.) a research statement outlining current and future research
5.) a teaching philosophy statement

You will also need to submit the affirmative action survey, the self-identification of disability form, and the self-identification of veteran status forms. Incomplete application materials cannot be considered. Materials received after the initial review date will be reviewed at the discretion of the University.

Search Timeline is as follows:

Review of applications to begin: December 15, 2019
On-site interviews to begin no earlier than: January 21, 2020
Tentative start date: September 1, 2020

For questions about the search, please contact search committee chair Kate Beard at or 207-581-2147.

Appropriate background checks are required**.**

The University of Maine is an EEO/AA employer, and does not discriminate on the grounds of race, color, religion, sex, sexual orientation, transgender status, gender expression, national origin, citizenship status, age, disability, genetic information or veteran’s status in employment, education, and all other programs and activities. The following person has been designated to handle inquiries regarding non-discrimination policies: Amie Parker, Interim Director of Equal Opportunity, 101 North Stevens Hall, University of Maine, Orono, ME 04469-5754, 207.581.1226, TTY 711 (Maine Relay System).

Position Title: Assistant Professor in Computer Science (Data Science) (id:59236)

Campus: Orono

Department: School of Computing and Information Sciences – OCIS

Bargaining Unit: AFUM

Salary Band/Wage Band: N/A

Location: Orono, ME

Length: Academic Year (Sept-May)

Required Documents: Cover Letter, References, Research Statement, Resume/CV, Teaching Statement

To view full details and how to apply, please login or create a Job Seeker account.