Job Description

Visiting Scientific Specialist, Environmental Sciences Illinois State Water Survey

Job SummaryAn entry-level position dedicated to developing novel research methods for exploring, visualizing, and leveraging the data available at the Illinois State Water Survey. Develop real-time integrations of hydrologic data into groundwater and integrated hydrologic models. Digitization of analog datasets to bring new scientific stories out of the "dark". Duties & ResponsibilitiesResearch Development - 75% Work with ISWS databases to streamline data pipeline from database to hydrogeologic models and visualizations for participatory modeling with community stakeholders. o Pipeline could include: Amazon Web Services, Parquet files, Delta and DeltaAI, and LLMFlux. Establish and build working relationship with the National Center for Supercomputing Applications at the University of Illinois Urbana-Champaign. Develop software and services to share and explore ISWS, ISGS, and other PRI datasets. For example, contribute to the development of online dashboards, and backend APIs for allowing researchers to view more of their data in one common location. Develop parallelization schema for data pipeline from database to AWS buckets and Data Lakes. Research the integration with artificial intelligence tools with PRI datasets, including: o Convolutional Neural Networks (CNNs) for pattern and trend analysis o Implementation of Covariance-Matrix Adaptation Evolution Strategy (CMA-ES) for improving calibration optimization with modeled datasets o Employing large language models (LLMs) to explore more than one hundred years of analog data at PRI Develop software and tools for digitizing “dark data” – i.e., handwritten data that is not easily incorporated into digital automated workflows. Investigations could include: o Comparisons of 1950s drought groundwater level data against modern drought data. o Use artificial intelligence to query the historical data to find overlooked trends, patterns, and processes. o Meta-analysis of AI-identified trends against human observations to determine how LLMs are missing (or not) important subject matter expertise. Integration of data pipeline into groundwater modeling infrastructure—i.e., MODFLOW6 and FloPy—towards building real-time model simulations. Research Dissemination and Teaching – 20% Present newly developed tools and visualizations at professional conferences, symposiums, and invited seminars. Poster and oral presentations, as well as tabling information booths at public outreach events (e.g., State Fair). Developing teaching materials for teaching environmental scientists, geologists, hydrologists, and ecologists to leverage machine learning and artificial intelligence tools for their research Serving as an invited lecturer for both internal and external courses Other – 5% Perform other duties as needed to further the mission and goals of the Survey, PRI, and the University of Illinois. Keep abreast of developments in this discipline

Physical Demands and Working ConditionsThe work is sedentary and involves remaining in a stationary position for extended periods of time working at a computer, using a keyboard and mouse, and using repetitive hand motions. Minimum QualificationsBachelor’s degree in hydrology, geology, civil engineering, or another similar technical field. Alternate degree fields will be considered depending on the nature and depth of the experience as it relates to this position. • Experience writing programming scripts for data visualization and analysis, including course work. • Experience with Git for version control, including course work. • Familiarity with SQL for database queries. • Familiarity with MODFLOW6, FloPy, and other tools for groundwater modeling. Valid Driver’s License Preferred QualificationsBachelor’s degree in computer science, with focus on applications for environmental sciences.

• Demonstrable experience teaching other professionals machine learning, data analysis, and AI tools and techniques, including providing example notebooks for the audience to reference again in the future.
• 1-2 years of research experience using Python, R, or other similar software for data analysis. Not using Microsoft Excel.
• 1-2 years using git and/or GitHub (or similar version control software) for parallel, asynchronous software development for academic research and publications.
• 1-2 years’ experience using SQL to query datasets and compose relational databases.
• 1-2 years’ experience with reviewing and developing groundwater models using FloPy and MODFLOW6.
• 1-2 years of research experience in computer science applications for hydrologic and environmental datasets.Knowledge, Skills and AbilitiesMinimum software competencies: python for data analysis, git/GitHub, SQL, JavaScript, node.js, WordPress, FloPy, and MODFLOW6. Effective communication, personal relations, collaboration, organizational, teamwork, and leadership skills. Demonstrated ability to perform effectively in a diverse and fast-paced work environment consisting of multiple and changing priorities with stringent deadlines, under minimal supervision. Attention to detail, sound judgment, and strong conflict resolution skills. Proficiency in commonly-employed software and databases. Appointment Information This is a 100% full-time Visiting Academic Professional position, appointed on a 12-month basis. The expected start date is as soon as possible after 11/16/2026. Position may become regular non-visiting at future date. The budgeted salary range for this position is $55,000 to $65,000. The salary is competitive and commensurate with qualifications and experience, while also considering internal equity. It is not typical for an individual to be offered a salary at or near the top of the full range for a position.. This position is eligible for sponsorship for work authorization. Application Procedures & Deadline Information Applications must be received by 6:00 pm (Central Time) on November 19th 2026. Apply for this position using the Apply Now button at the top or bottom of this posting. Applications not submitted through https://jobs.illinois.edu will not be considered. For further information about this specific position, please contact Jon Freiman HR Business Partner at jcf@illinois.edu. For questions regarding the application process, please contact 217-333-2137. At the University of Illinois Urbana-Champaign — the state’s flagship public university and one of the world’s leading research institutions — every staff member helps shape what’s next. Founded in 1867, Illinois is home to a vibrant community of 59,000 students from all 50 states and 129 countries, supported by 15 colleges and instructional units, more than 20 research institutes, and one of the most comprehensive student service ecosystems in the nation. Whether you’re empowering first-generation students, fueling breakthrough innovation, or strengthening communities across Illinois and beyond, your work here has a far-reaching and deeply meaningful impact. The university offers a highly competitive benefits package designed to support your well-being, growth, and financial security. Join a top 10 public university that has launched over 330 startups and continues to redefine excellence — where the Illinois Value Proposition ensures that your contributions are recognized, your potential is nurtured, and your career can thrive. Champaign-Urbana Artificial Intelligence (AI) tools may be used in some portions of the candidate review process for this position; however, all employment decisions will be made by a person. This position is intended to be eligible for benefits. This includes Health, Dental, Vision, Life Insurance, a Retirement Plan, Paid time Off, and Tuition waivers for employees and dependents. The University of Illinois System is an equal opportunity employer, including but not limited to disability and/or veteran status, and complies with all applicable state and federal employment mandates. Please visit Required Employment Notices and Posters to view our non-discrimination statement and find additional information about required background checks, sexual harassment/misconduct disclosures, and employment eligibility review through E-Verify. Applicants with disabilities are encouraged to apply and may request a reasonable accommodation under the Americans with Disabilities Act (2008) to complete the application and/or interview process. Accommodations may also be requested on the basis of pregnancy, childbirth, and related conditions, or religion. Requests may be submitted through the reasonable accommodation portal, or by contacting the Office for Access & Equity at 217-333-0885, option #1, or accessibility@illinois.edu. Requisition ID: 1039089

Job Category: Research

Apply at: https://jobs.illinois.edu