• Lead mechanical design and analysis for mining and heavy industrial projects, including piping systems, pumps, tanks, and process equipment. • Develop and review engineering calculations, including equipment sizing, pipe stress analysis, and system design in accordance with applicable codes and standards. • Support early-stage project development through conceptual design, including PFDs, P&IDs, equipment selection, and facility layouts. • Prepare and review technical deliverables such as reports, specifications, and design packages to ensure quality and accuracy. • Coordinate with multidisciplinary teams to integrate mechanical systems into overall project design. • Perform quality control reviews of calculations, drawings, and technical documents. • Support procurement activities, including vendor engagement, bid evaluations, and review of shop drawings. • Contribute to project planning by supporting cost estimates, schedules, and technical work planning. • Provide technical guidance and mentorship to junior engineers and support staff. • Support construction activities through design clarifications, RFI responses, and field coordination as needed.

• Collaborate with project teams and Cybersecurity specialists to ensure controls and engineering designs achieve energy savings guarantees and functional performance • Manage the design and engineering process on assigned projects • Refine schedules, scopes of work, and budgets with the project team • Lead design review meetings and charrettes, manage engineering consultants • Create and refine Technical Solutions and controls based Energy Conservation Measures • Complete site investigations and data collection • Support project pricing effort in partnership with NORESCO Construction department • Support project team during construction, commissioning, and performance phases to resolve design issues • Participate in the equipment evaluation and procurement process • Identify key customer interests and drivers

Role Description The College of Engineering and Technology employs faculty and faculty leaders who are passionate about engaging and mentoring students to best prepare them for the continuously changing worlds of IT and Engineering. Our faculty are energetic advisors who are committed to helping our students grow academically, spiritually, and personally. They are experts in their respective fields, in addition to being passionate educators and collaborators who help enhance the college experience for all students. Join our mission in helping others find their purpose and start your instructor career with GCU. The College of Engineering and Technology offers rewarding opportunities for adjunct faculty to teach part-time, face-to-face instruction at our Phoenix campus. If you are highly motivated and passionate about teaching exceptional quality instruction in modern facilities with smaller class sizes, we’d like to hear from you. Course: Complexity Theory - This course provides a comprehensive examination of complexity theory and its applications in systems engineering. - Students explore the principles and methodologies used to analyze, design, and manage complex systems. - The curriculum bridges theoretical foundations with practical implications, preparing students to address the challenges of complex systems in various engineering domains. - Students gain a robust understanding of how to apply complexity theory to enhance system performance and resilience. Qualifications - Doctorate in Systems Engineering OR Doctorate in related engineering discipline with engineering management, systems experience, and industry experience. Requirements - Facilitate weekly main discussion forums to engage students in the online classroom. - Adhere to weekly grading requirements, deadlines, and timeframes. - Respond to students’ questions and emails within the established timeframes. - Provide a positive example to students by supporting the University’s Doctrinal Statement, Ethical Position Statement, and Mission of Grand Canyon University. Benefits - Tuition benefits specifically for the adjunct employee. - 401(k). - Employee Perks and Discounts.

Role Description We are sharing a specialised part-time consulting opportunity for structural and mechanical engineering professionals experienced in finite element methods, scikit-fem, computational mechanics, beam analysis, elasticity problems, mesh convergence studies, variational formulations, Python scientific computing, and benchmark evaluation workflows. This role supports current and upcoming remote consulting opportunities focused on structural and mechanical engineering problem design, scientific software evaluation, finite element workflow development, Python-based validation, and high-quality project execution. Selected professionals will design challenging research-grade computational problems, create precise expected outputs, develop validation logic, and refine task difficulty based on structured calibration feedback. Key Responsibilities - Structural & Mechanical Engineering Problem Design - Design original graduate-level computational problems grounded in real structural engineering, mechanical engineering, and computational mechanics workflows. - Create tasks involving finite element analysis, beam analysis, elasticity problems, variational formulations, or mesh convergence studies. - Develop problems that require precise outputs from fully specified computational setups. - Design tasks that test strategic reasoning, physical interpretation, numerical judgment, and careful analysis of partial simulation outputs. - Scientific Software & Computational Mechanics Evaluation - Work with scikit-fem or similar finite element libraries for structural and mechanical engineering analysis. - Create problems involving Timoshenko beam theory, elasticity, finite element discretization, computational mechanics, or convergence behavior. - Evaluate whether tasks require genuine engineering reasoning rather than surface-level computation. - Identify edge cases, numerical artifacts, solver limitations, or reasoning traps that make a problem genuinely challenging. - Python-Based Validation & Benchmark Calibration - Write Python problem setups, oracle functions, and solution validators. - Refine tasks through calibration feedback until the difficulty reaches the target range. - Create structured evaluation materials that support reproducible scoring and consistent review. - Maintain technical accuracy, reproducibility, and clear documentation across submitted task materials. Qualifications - Graduate-level expertise in structural engineering, mechanical engineering, computational mechanics, applied mechanics, civil engineering, aerospace engineering, materials science, or a closely related STEM field. - MS, PhD, or equivalent research experience in a relevant domain. - Hands-on experience using scikit-fem or comparable finite element and computational mechanics tools in real research or engineering workflows. - Strong Python programming skills for scientific computing, validation logic, and task setup. - Experience writing code that calls scientific software libraries to solve actual engineering or mechanics problems. - Ability to understand software edge cases, numerical limitations, and what makes a problem genuinely difficult. - Comfort working independently and iterating on problem designs based on feedback. - Ability to work in Linux, terminal-based environments, or remote compute sandboxes. Educational Background - MS, PhD, or equivalent research experience in structural engineering, mechanical engineering, computational mechanics, civil engineering, aerospace engineering, applied mechanics, materials science, or a related technical field is preferred. - Research publications, open-source contributions, professional scientific software work, or applied finite element analysis experience are highly relevant. - Experience designing or validating computational mechanics pipelines may be especially valuable. Nice to Have - Experience across multiple finite element tools, structural analysis libraries, or computational mechanics methods. - Familiarity with benchmark design, evaluation design, calibration workflows, or technical task validation. - Background in scientific pedagogy, exam design, problem-set creation, or graduate-level technical assessment. - Experience with computational reproducibility, containerized environments, remote compute, or research software packaging. - Availability for approximately 15–20 hours per week depending on project scope. Why This Opportunity - Apply structural and mechanical engineering expertise to structured remote scientific problem design work. - Contribute to high-quality benchmark tasks involving scikit-fem, finite element methods, computational mechanics, and Python workflows. - Work on flexible assignments aligned with your engineering background and scientific software experience. - Use your ability to design rigorous, strategic, research-grade computational problems. - Remote structure with competitive hourly compensation. Contract Details - Independent contractor role. - Fully remote with flexible scheduling. - Eligible professionals may be based in approved project locations depending on project needs. - Expected commitment of approximately 15–20 hours per week depending on project availability. - Competitive rates between $60–$90 per hour depending on expertise and project scope. - Weekly payments via Stripe or Wise. - Projects may be extended, shortened, or adjusted depending on scope and performance. - Work will not involve access to confidential or proprietary information from any employer, client, or institution. About the Platform This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy .