Post Doctoral Research Fellow, School of Electrical Engineering and Computer Science

Position Information: Description

The School of Electrical Engineering & Computer Science is seeking a Post-doctoral starting January 2021.

The School of Electrical Engineering & Computer Science (SEECS) was formed in 2017 from the Department of Computer Science and the Department of Electrical Engineering. The merger of these two units recognizes the wealth of interdisciplinary opportunities for collaborative teaching and research between these closely related fields.

Duties & Responsibilities

The individual is responsible to develop machine learning models for polymer data sets. In addition, the post-doctoral fellow need to work with team of interdisciplinary faculty from Chemical Engineering, Polymers, and Computer Science and industries to develop large data repository. The post doc will also mentor Ph.D. students and work on the development of new proposals to other funding agencies

Required Competencies

    High Quality Publications in reputed journals and conferencesGrant writing experience is a plus
Minimum Requirements

    Ph.D. in Computer Science, Electrical Engineering, Chemical Engineering or Polymer Science or related fieldPython, SQL, Tensorflow experienceSuccessful completion of criminal history records check
In compliance with federal law, all persons hired will be required to verify identify and eligibility to work in the US and to complete the required employment eligibility verification form upon hire.  This position does not support visa sponsorship for continued employment.

Preferred Qualifications

    Machine learning experienceSignificant publication in working in large data setsUnderstanding of polymer areaExperience working with a research teamMentorship experience related to Ph.D. StudentsExperience developing new grant proposals
Minimum Hiring Salary


Work Schedule/Start Date

Monday -Friday, 8:00am-4:30pm

To Apply

For full consideration, applications must be received by March 8, 2021 and include the following materials:

    CVUndergraduate and Graduate TranscriptsA two-page Research Statement that details your short term and long term goals Contact Information of Three References with email and telephone numbers
Position is open until filled.

Additional Information

To find out why living and working in Greater Grand Forks is way cooler, check out Grand Forks is Cooler.

All information listed in this position announcement will be used by Human Resources, the Hiring Department, and EO/Title IX for screening, interviewing and selection purposes.

Confidentiality of Application Materials

Pursuant to NDCC 44-04-18.27, applications and any records related to the applications that identify an applicant are confidential, except records related to the finalists of the position, which are open to the public after the search committee has identified the top three finalists who will be invited to campus.

EEO Statement

The University of North Dakota is an Affirmative Action/Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or other protected characteristic. Women, minorities, veterans, individuals with disabilities, and members of other underrepresented groups are especially encouraged to apply. Applicants are invited to provide information regarding their gender, race and/or ethnicity, veteran’s status and disability status as part of the application process. This information will remain confidential and separate from your application.

Veteran’s Preference

Veterans claiming preference must submit all proof of eligibility by the closing date. Proof of eligibility includes a DD-214 or NGB 22 and if claiming disabled status, a current letter of disability from the VA dated within the last 12 months.

Clery Statement

In compliance with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act, the University of North Dakota publishes an Annual Security and Fire Safety Report. The report includes the university’s policies, procedures, and programs concerning safety and security, as well as three years’ of crime statistics for our campus. As a prospective employee, you are entitled to a copy of this report. The report and statistical data can be found online at You may also request a paper copy of the report from the UND Police Department located at 3851 Campus Road, Grand Forks, ND, 58202.


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