Research Scientist - National Center for Computational Hydroscience and Engineering (NCCHE)

The University of Mississippi — fondly referred to as Ole Miss —
stands as a premier public research institution with a proud legacy
of academic distinction. We are devoted to nurturing a vibrant,
inclusive community where every member — student, faculty, and
staff — can achieve their fullest potential.

Job Summary:

This position focuses on developing and maintaining computational
and geospatial technologies that support agricultural watershed
science, water quality assessment, dam-break flood modeling, risk
evaluation, and emergency planning. The role emphasizes building
decision-support systems and web-based tools, managing large
environmental datasets, and enabling data-driven environmental
management through advanced modeling, software engineering, and
GIS/remote sensing workflows.

It also includes supporting high-performance and Linux-based
research computing environments, contributing to scientific
communication (journal articles, technical reports, and conference
presentations), and collaborating with interdisciplinary teams and
stakeholders. In addition, the role supports grant proposal
development and may include leading external research
efforts.

Job Description:

Essential Duties/ Responsibilities:

• Develop computational models, software tools, and web-based
decision support systems for agricultural watershed processes,
water quality assessment, dam-break flood modeling, risk
assessment, and emergency planning.

• Develop and maintain scientific software, geospatial
applications, databases, and computational workflows using
programming languages such as FORTRAN, C++, Python, R, and related
technologies.

• Design, develop, and maintain geospatial databases, web mapping
applications, decision-support systems, and cloud- or cluster-based
cyberinfrastructure to support environmental modeling,
visualization, and data dissemination.

• Manage and process large environmental and hydrologic datasets
using GIS, remote sensing, spatial databases, and geospatial
analysis tools.

• Support high-performance computing, Linux-based research
computing environments, automation workflows, and related
computational infrastructure required for environmental modeling
and data-intensive research.

• Participate in and lead external research grant proposal
development.

• Participate in and lead peer-reviewed journal publications,
technical reports, and scientific conference presentations.

• Collaborate with interdisciplinary teams of scientists,
engineers, and stakeholders to develop innovative solutions for
water resources and environmental management challenges.

Job Responsibilities:

Preferred Experience, Knowledge, Skills & Abilities:

• Experience in developing computational models, decision-support
systems, and web-based tools for hydrologic, hydraulic, watershed,
water quality, and environmental management.

• Experience in scientific programming (e.g., FORTRAN, C++,
Python, R), software development, computer systems, and
computational infrastructure for environmental and geospatial
applications..

• Experience in geospatial analysis and environmental data
management using GIS, remote sensing, spatial databases, and
web-based geospatial technologies.

• Experience with database design, administration, and
optimization, including PostgreSQL/PostGIS and large-scale spatial
data processing.

• Experience in developing and deploying geospatial web services,
map servers, and cloud- or cluster-based computing environments for
environmental modeling and visualization.

• Experience with Linux system administration, high-performance
computing (HPC), virtualization, automation, and research computing
infrastructure.

• Excellent oral, written, and presentation skills (both
technical and non-technical).

• Experience in AIMS and/or DSS-WISE modeling and decision
support systems is preferred.

Education:

• Ph.D. in Computational Hydroscience and Engineering, or a
closely related discipline. The PhD degree should be already
received or about to be received at the end of the current
semester.

* This position is fully or partially funded by external
research grants. Continued employment is contingent upon
satisfactory performance and the ongoing availability of
funding.

** Applicants are requested to attach a Resume/CV with their
application.

Education Qualifications:

PhD (Required)

Experience:

Interview Requirement:

Interview Requirements: Any candidate who is called for an
interview must notify the Department of Equal
Opportunity/Regulatory Compliance in writing of any reasonable
accommodation needed prior to the date of the interview.

EEO Statement:

The University of Mississippi provides equal opportunity in any
employment practice, education program, or education activity to
all qualified persons. The University complies with all applicable
laws regarding equal opportunity and does not unlawfully
discriminate against any employee or applicant for employment based
upon race, color, gender, sex, pregnancy, sexual orientation,
gender identity or expression, religion, national origin,
ethnicity, citizenship, age, disability, military status, protected
veteran status, genetic information, or any other legally protected
status.

Background Check Statement:

The University of Mississippi is committed to providing a safe
campus community. UM conducts background investigations for
applicants being considered for employment. Background
investigations include a criminal history record check, and when
appropriate, a financial (credit) report or driving history
check.

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