COLLEGE CO-OP WASTEWATER ENGINEERING (Watershed ...

COLLEGE CO-OP WASTEWATER ENGINEERING (Watershed Planning/LiDar) Print ( Apply ufeff COLLEGE CO-OP WASTEWATER ENGINEERING (Watershed Planning/LiDar) Salary $32,760.00 - $46,113.60 Annually Location Ohio 45202, OH Job Type Part-time Unclassified Job Number 26-02727 Department Metropolitan Sewer District Opening Date 03/09/2026 Closing Date 4/4/2026 11:59 PM Eastern + Description + Benefits + Questions General Statement of Duties The Metropolitan Sewer District posted a number of College Co-Op Job Postings for the Spring Semester beginning May 11, 2026. Please read through all Job Postings and apply for the position(s) you would like to be evaluated for and/or interviewed for as a Co-Op student. The Project plans are included in the Job Postings. For more information about the different projects please . ThePriority Deadlinefor applications isMarch 24, 2026. Applications submitted by this date will be reviewed by MSD hiring managers before the posting closes onApril 04, 2026. If selected for an interview, students will be notified via email as early as the week of March 30, 2026. All applications are accepted through the posting close date. If selected for an interview, you will be contacted via the email provided during the application process. All applicants should have availability for work scheduled 32 - 40 hours per week. TO APPLY: Applicants must first create an account through to apply for this position. Please click here ( to create your applicant profile and apply for the College Co-Op/Student Intern opportunity. If you are experiencing technical difficulties with completing your application, please call theNEOGOVHelp Line at 855-524-5627. Applicants with student visa and OPT, CPT, and current valid EAD at time of hire, are welcome to apply. Interns/Co-ops/Externs for the City of Cincinnati may be performing duties in any potential field within the City's structure. These fields may include office-level work/assignments, fieldwork, and/or civic services. The nature of the work will be based on areas of interest, degree programs, or organizational needs. Candidates should have the ability to multitask in a fast-paced environment. Minimum Qualifications (KSAs) MSD WASTEWATER ENGINEERING PROJECT MANAGEMENT/LiDar Mission: Learn the value of data collection and its applicability to industrial uses, as well as the limitations and challenges of budget and time constraints. Tackle through a hands-on experience, the philosophical question of how to balance the cost to obtain information and its quality vs. the value it provides. Purpose: Develop tools to improve response time and reduce costs for data collection related to infrastructure. Apply applications to sensors and micro-computers which can be used in the field to take measurements. If time permits, work on ArcMap GIS applications and develop Python routines to automate desired, repetitive tasks performed by MSD users. Overview: Work as part of a team in a professional engineering environment. Develop communication skills both with engineers as well as maintenance staff. Learn about sewer infrastructure and the factors that affect its performance. Learn about data collection and analysis and its applicability to civil engineering and sewer design. Assume responsibility for ethical action and work production. Expectations: There are 4 primary tasks which the co-op may be expected to learn, understand and master: + Work on developing an acoustic system for detecting stormwater pipe connection to MSDGCu2019s sewers. This work may include researching and recommending hardware, using hardware, coding, data collection, analysis, and field work. + Work on refining LiDAR data collection and analysis to create 3D point clouds, and modifiable renderings with measurable dimensions of MSD infrastructure or environments affecting MSD sewer performance. The work may require changing or refining existing software applications already developed by MSD. Working with microcomputers, controllers, and sensors, as well as some basic fabrication is expected. 3D printing and related modeling are also anticipated. Finally, field work and testing of devices is likely. + Work on the application of artificial intelligence (AI) to analyze collected data from acoustic testing, LiDAR, flow meters, or other datasets. This work may also involve developing an AI tool to assist with archiving paper records and automating the transfer of data into searchable databases. + Use ArcGIS to log data and perform regional analysis. The four tasks are dependent on the needs of MSD during the period of the co-op and are likely to be uneven in the distribution of time spent per task. Co-op Learning Deliverables: Dependent on MSD needs and as time permits, the co-op is to deliver: -Advances in effective acoustic testing methods for MSD. -Advances in MSDu2019s LiDAR data collection. -Advances in the use of AI for MSDu2019s data analysis and archiving of paper records. -Updates to GIS mapping of MSD infrastructure. MSD to provide: -Budget: desktop or laptop computer, micro-computers, controllers, LiDAR units, movement tracking sensors, acoustic equipment, safety gear for field work, AI development tools, co-op compensation. -Logistics: workstation is in MSDu2019s WEEC (engineering) Building. -Training: training on city policies, rules, regulations. Milestones Orientation (week #1) Needs Assessment (week #2) Begin Project Work (weeks #1 - 3) Project Manager and co-op will work together to defines projects and timelines that ensures that project goals and objectives will be achieved. The projects will be tailored to suit the studentu2019s interests and abilities. Continuation of Project Work(weeks #4 - 14) Investigate solutions, gather information from various sources, and work as necessary to complete project deliverables as well as possible additional ideas on project solutions. Perform mid-term review of project schedule and timeline at week #8. Make necessary adjustments to meet project objectives and project manageru2019s expectations. Prepare Final Documentation and Report Out (weeks #15 - 16) Conclude projects, where possible. Provide documentation and discuss with necessary parties to enable continuation of unfinished work. Summarize and evaluate lessons learned. Education Requirements: The applicant must currently be a college student at the time of applying, with successful completion of college classes in computer science or engineering. Ideal candidates will possess the ability to author or work with Python code and analyze large volumes of data, applying math and science. Below, a more detailed list of desired skillsets is provided. Required: + Familiarity with Fourier transforms. + Familiarity with wave functions. + An understanding of wave propagation, and the differences between light vs. sound waves. + Collect, process, and export large datasets and using trigonometric functions. + Completion, as a minimum, Calculus I with an overall grade of u201cA-u201d, or better (or equivalent). + A collegiate math and science cumulative GPA of 3.4, (on a 4.0, unweighted scale), or better. + Familiarity with Linux as well as Microsoft operating systems, environments, and parameters. + Familiarity with computer blogs, or other computer science community resources. + Resourcefulness in finding solutions when sensors fail to communicate or work as intended. Desired, but not required: + Ability to utilize artificial intelligence and algorithms for use with analyzing video imagery. + Familiarity with electronics and power requirements including resistance, voltage, and amperage. + Experience tutoring or teaching. + Familiarity with 3D printing. + Familiarity with Esri ArcMap. + Ability to code in Python. + Familiarity with the application of AI and developing application tools with AI. + Ability to set up environments on micro-computers and install peripheral devices for sensing and data collection which can communicate with the micro-computer and the code written by the applicant. + Ability to set up Linux operating systems on micro-computers, then install and run Python code. + Ability to import and export large datasets across a micro-computer vs. more powerful computing platform (desktop or laptop computer). Use of Python and math to create intuitive, easily discernible, yet accurate and informative visual representation of coordinate (x,y,z) data clouds. Required Education and Experience In order to qualify for the Intern/Co-op Program, a student must: + Be a U.S. citizen, lawful permanent resident, or a non-citizen with proof of eligibility to work in the United States + Individuals under eighteen will require a work permit + Submit a City job application for employment + Must pass a drug screen and background check + Be enrolled in an accredited institution.Undergraduate student majoring in Environmental Science, Occupational Safety, Chemistry, Fire Science, or closely related field. Successful completion of basic chemistry lab coursework preferred. The below information is solely intended as a summary of the benefits available and is subject to change. Not all benefits listed are available for every position. Benefits can vary depending on applicable labor agreements and/or salary plan. For specific questions, contact the HR Contact indicated on the Job Posting. The City of Cincinnati offers its employees competitive salaries and a comprehensive benefit package designed to actively attract and retain quality employees' to add additional value to the City of Cincinnati's workforce. A summary of these benefits for full-time employment is listed below. This is a general listing of benefits for all employees and is not intended to be a comprehensive listing for all bargaining units. The City offers a variety of training programs, ranging from job-specific skills such as computer and equipment instruction, to helping supervisors improve their management techniques. Equal Employment Opportunity The City of Cincinnati is dedicated to providing equal employment without regard to race, gender, age, color, religion, disability status, marital status, sexual orientation or transgendered status, or ethnic, national or Appalachian origin, or on the basis of any other category protected under federal, state and local laws. Holidays The City of Cincinnati has 11 paid holidays annually that include: New Year's Day Martin Luther King Day President's Day Memorial Day Juneteenth Independence Day Labor Day Veterans' Day Thanksgiving Day Day after Thanksgiving Christmas Health Insurance The City of Cincinnati 80/20 offers 3 medical plans to all full time City of Cincinnati employees and eligible dependents: the 80/20 PPO medical plan, the HDHP medical plan with an HSA contribution, and a Health Reimbursement Arrangement for those enrolled on another non-city eligible group plan. Eligible dependents include: Legal Spouse or Equal Partner Child (natural child, adopted child, and/or child who the group has determined is covered under a

Created: 2026-03-11