Postdoctoral Researcher
- Fayetteville, United States
نُشرت قبل 4 أيام
عن الوظيفة
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Closing Date:
Type of Position:
Researchers and Scientists
Workstudy Position:
Job Type:
Fixed Duration of Project/Grant (Fixed Term)
Work Shift:
Sponsorship Available:
Institution Name:
University of Arkansas, Fayetteville Founded in 1871, the University of Arkansas is a land grant institution, classified by the Carnegie Foundation among the nation’s top 2 percent of universities with the highest level of research activity. The University of Arkansas works to advance the state and build a better world through education, research, and outreach by providing transformational opportunities and skills, fostering a welcoming climate, and nurturing creativity, discovery, and the spread of new ideas and innovations.
The University of Arkansas campus is located in Fayetteville, a welcoming community ranked as one of the best places to live in the U.S. The growing region surrounding Fayetteville is home to numerous Fortune 500 companies and one of the nation’s strongest economies. Northwest Arkansas is also quickly gaining a national reputation for its focus on the arts and overall quality of life.
As an employer, the University of Arkansas offers a vibrant work environment and a workplace culture that promotes a healthy work-life balance. The benefits package includes university contributions to health, dental, life and disability insurance, tuition waivers for employees and their families, 12 official holidays, immediate leave accrual, and a choice of retirement programs with university contributions ranging from 5 to 10% of employee salary.
Below you will find the details for the position including any supplementary documentation and questions, you should review before applying for the opening.
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Department:
Post Docs, GAs and Hourly Employees
Department's Website:
Summary of Job Duties:
As a member of a multidisciplinary research team, the Postdoctoral Researcher will conduct research to advance novel machine learning and data harmonization approaches for water quality monitoring and assessment. Responsibilities include developing and validating computational methods to standardize and infer nutrient and sediment observations from existing datasets; evaluating impacts of expanded datasets on watershed-scale assessments; developing and maintaining open-source software tools and R packages; disseminating findings through publications and presentations; and collaborating with university and federal partners to improve national water quality science and decision support. Regular, reliable, and non-disruptive attendance is an essential job duty, as is the ability to create and maintain collegial, harmonious working relationships with others.
Qualifications:
Minimum Qualifications:
Ph.D. in Biological Engineering, Agricultural Engineering, Environmental Engineering, Civil Engineering, Environmental Science, Hydrology, Data Science, Computer Science, Statistics, Geography, Water Resources, or a closely related field from an accredited institution of higher education
Preferred Qualifications:
Experience applying machine learning or artificial intelligence methods to environmental, hydrologic, or water quality datasets
Strong computational background in statistical modeling, reproducible workflows, and large-scale data processing
Experience with water quality, nutrient, sediment, watershed, or hydrologic datasets
Experience developing, maintaining, and documenting open-source software tools or R packages
Experience with geospatial analysis, environmental databases, and cloud or high-performance computing workflows
Demonstrated record of peer-reviewed publications
Experience collaborating with interdisciplinary teams and/or federal agencies (e.g., USGS)
Familiarity with version control systems (Git/GitHub) and open science practices
Additional Information:
This position is renewable annually based on continued need for the position, availability of funding, and satisfactory job performance.
Salary Information:
Required Documents to Apply:
Optional Documents:
Proof of Veteran Status
Recruitment Contact Information:
Associate Professor
rlogsdo@uark.edu
All application materials must be uploaded to the University of Arkansas System Career Site https://uasys.wd5.myworkdayjobs.com/UASYS
Please do not send to listed recruitment contact.
Special Instructions to Applicants:
Pre-employment Screening Requirements:
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The University of Arkansas seeks to attract, develop and retain high quality faculty, staff and administrators that consistently display practices and behaviors to advance a culture that embeds equal opportunity, educational excellence and unparalleled access for all.
The University of Arkansas is an equal opportunity institution. The University does not discriminate in its education programs or activities (including in admission and employment) on the basis of any category or status protected by law, including age, race, color, national origin, disability, religion, protected veteran status, military service, genetic information, sex, sexual preference, or pregnancy. Questions or concerns about the application of Title IX, which prohibits discrimination on the basis of sex, may be sent to the University’s Title IX Coordinator and to the U.S. Department of Education Office for Civil Rights.Persons must have proof of legal authority to work in the United States on the first day of employment.
All Application information is subject to public disclosure under the Arkansas Freedom of Information Act.