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Post Doc Research Fellow
The selected candidate will work on a USDA-initiated work to introduce a fast, convenient, and easy-to-use handheld system for contamination, sanitization inspection, and disinfection that enables than rapid detection of saliva and respiratory droplets, and other organic residues that are present in kitchens.
Benefits include single or family health care coverage (UND pays the full premium), basic life insurance, employee assistance program, retirement plans with generous employer contributions, and 10 paid holidays.
Optional benefits include supplemental life, dental, vision, flexible spending account, supplemental retirement plans.
UND also offers an employee tuition waiver and a variety of professional development opportunities.
Find out more about UND's great benefits and perks here!
Duties & Responsibilities
- Developing image processing algorithms for detecting fecal matter
- Developing machine learning algorithms to improve the detection accuracy
- Knowledge of Machine Learning
- Knowledge of Image Processing
- PhD in Biomedical Engineering
- Machine Learning Courses on Transcripts
- Minimum of six related journal paper on the CV
- Successful completion of criminal history records check.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the US and to complete the required employment eligibility verification form upon hire.
- Grant writing experience
Minimum Hiring Salary
$60,000 / year
Contract Period/Start Date
January 1, 2023 to December 31, 2023; one-year contract
For full consideration, applications must be received by December 9, 2022 and include the following materials:
- Curriculum Vitae
- Sample publication
- Unofficial transcripts. Please note that the selected candidate will be required to submit official transcripts upon hire.
Position is open until filled.
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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 or more finalists who will be invited to campus.
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.
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.
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 UND.edu. 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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