Position Information: DescriptionThe Data Analytics Research Group within the Department of Petroleum Engineering at the University of North Dakota is seeking a highly motivated post-doctoral fellow to work with Dr. Rabiei to advance understanding and facilitate continuous improvement of environmental compliance framework in the oil and gas industry, utilizing innovative data-driven intelligent solutions. This is a full-time position, with an initial appointment of 12 months, starting immediately. Appointment may be extended depending upon satisfactory progress in the first year and availability of funding.

Duties & ResponsibilitiesThe post-doctoral fellow is expected to work both independently and collaboratively with graduate students within the group to:

Analyzing the current oil and gas regulatory framework to determine potential overlaps, conflicts, and gaps in the regulations and identify critical knowledge gaps to address compliance issues.Creating and conducting surveys and interviews with stakeholders to identify the most prominent data-related challenges within the regulatory and compliance procedures. Assist in the development of an integrated data infrastructure for systematic data collection, processing and assimilation necessary for the research.Assess and demonstrate the viability of data-driven approaches for root-cause analysis and predictive analytics for compliance optimization. Develop novel machine learning and deep learning tools for predictive maintenance models, integrating engineering, regulatory and economic determinants.Contribute in writing and submitting research publications within the group.Develop innovative ideas for research proposals and assist in writing competitive grants. Assist in the development of interdisciplinary graduate courses and seminars.

Required Competencies

Must have excellent teamwork and communication skills with strong interests in the research topic. 

Minimum Requirements

Must have a Ph.D. in an engineering field (preferably petroleum, chemical, industrial, civil and mechanical engineering) with prior experience in the oil and gas industry. Professional experience in the oil and gas industryMust have practical experience in at least one of the ML software such as R, Python or MATLABSuccessful 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

Strong academic and/or professional experience in data scienceKnowledge and experience in industrial regulatory affairsKnowledge and experience in HSE compliance analysis

Minimum Hiring Salary$55,500/year

Work Schedule/Start DateMonday-Friday 8:00am-4:30pm Start date: October 16, 2021

To ApplyFor full consideration, applications must be received by September 28, 2021 and include the following materials:

Letter of InterestResume/CVContact Information for 3 references

Questions about this position may be addressed to Dr. Minou Rabiei at minou.rabiei@und.edu.

Position is open until filled.

Additional InformationTo 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 MaterialsPursuant 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 StatementThe 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 PreferenceVeterans 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.

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