{"id":27014,"date":"2025-07-05T13:33:59","date_gmt":"2025-07-05T09:33:59","guid":{"rendered":"https:\/\/soaqjobs.com\/job\/research-assistant-pipeline-health-monitoring\/"},"modified":"2025-07-05T13:36:10","modified_gmt":"2025-07-05T09:36:10","slug":"research-assistant-pipeline-health-monitoring","status":"publish","type":"job_listing","link":"https:\/\/soaqjobs.com\/ar\/job\/research-assistant-pipeline-health-monitoring\/","title":{"rendered":"Research Assistant (Pipeline Health Monitoring)"},"content":{"rendered":"
\u0627\u0644\u0645\u0633\u0645\u0649 \u0627\u0644\u0648\u0638\u064a\u0641\u064a<\/div>\n

This research position focuses on developing a novel approach for monitoring the integrity of buried pipelines, particularly non-metallic or composite ones, to detect minute defects. The proposed method involves deploying a distributed network of sensors integrated into the pipeline’s composite structure to continuously monitor its deflection profile. The role will include developing theoretical equations based on finite element theory to govern the dynamic interactions between the pipeline and surrounding soil, streamlining deflection monitoring and defect localization. The successful candidate will contribute to optimizing sensor network parameters, building and testing experimental prototypes of defective and buried pipelines, and verifying theoretical predictions through experimentation. The goal is to accurately identify defect locations and extents using “structural power flow” as a reliable indicator. This position also involves tasks related to transferring the developed technology to an industrial sponsor.<\/p>\n

Minimum Qualification<\/div>\n

\u2022 A bachelor’s degree in a relevant engineering field is required. \u2022 The candidate should have demonstrated experience or a strong interest in structural analysis, sensing technologies, and potentially finite element analysis. \u2022 Knowledge of a any programming language (eg: Matlab, \u2026)<\/p>\n

Preferred Qualification<\/div>\n

\u2022 A Master’s degree is preferred but not needed. \u2022 The ideal candidate should possess a comprehensive understanding of structural mechanics, finite element theory, and distributed sensor networks. \u2022 Previous experience in theoretical modeling, experimental setup, and data analysis (e.g., using MATLAB) for structural health monitoring or defect detection in pipelines is highly desirable. \u2022 Familiarity with concepts like “structural power flow” and its application in health monitoring is a significant advantage.<\/p>\n

Special Instructions to Applicant<\/div>","protected":false},"author":950,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","job_listing_type":[68],"job_listing_category":[158],"job_listing_location":[144],"job_listing_tag":[],"class_list":["post-27014","job_listing","type-job_listing","status-publish","hentry","job_listing_type-full-time","job_listing_category-engineering","job_listing_location-al-ain"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t