Research Engineer--Piping System
4 weeks ago
Job Title: Research Engineer – Piping System
Division: MathEarth IoT Group
Department: Research & Development
Summary:
We are seeking a qualified individual for the role of Research Engineer tasked with spearheading the design and execution of pressure transient experiments within a water pipeline laboratory. The successful candidate will play a pivotal role in refining algorithms for anomaly detection within water distribution networks, collaborating closely with cross-functional teams to implement innovative solutions effectively.
Responsibilities
· Designing a water pipeline laboratory for conducting pressure transient experiments.
· Developing and conducting experiments to assess, validate, and optimize algorithms for pressure transient detection and localization.
· Testing and enhancing algorithms for identifying and localizing anomaly events in water distribution networks, focusing on areas such as leaks/bursts, pressure variations, and system irregularities using monitoring data.
· Staying abreast of the latest advancements in academic literature to explore innovative approaches for addressing real-world challenges within water distribution pipe networks.
· Collaborating closely with the R&D team, data engineers, and software engineers to seamlessly integrate algorithms into operational systems, ensuring practical applicability and efficiency.
Qualifications:
· Proficiency in fluid mechanics and fluid behaviors in pipes
· Knowledge and experience in fluid pipe laboratory operations and experiments.
· Passion for applying innovative methods to solve real-world problems, with a self-motivated and research-oriented mindset.
· Excellent communication skills and a strong teamwork mentality.
· A Master's degree (M.A./M.S.) in mechanical engineering or a related field, accompanied by at least 2 years of research or industrial experience.
Preferred Qualifications:
· Knowledge of wireless sensor monitoring networks.
· Proven experience in data science and machine learning.
· Proficiency in data science and programming tools such as Python, MATLAB, or R.
· Familiarity with signal processing techniques including time-frequency analysis, FFT, wavelet analysis, adaptive filtering, noise reduction, etc.
· A Doctorate of Philosophy in a related field.
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