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Executive Engineer / Engineer, Innovation and Analytics

Land Transport Authority (LTA) Singapore

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Job Summary


Job Type
Permanent

Seniority

Years of Experience
Information not provided

Tech Stacks
Analytics

Job Description


You will be part of the team that oversees innovation projects and advanced technologies to seek new solutions to enhance the reliability, performance and sustainability of traffic and roads operations, road assets and related road facilities. You will manage innovation projects which includes overseeing application researches and product developments. You will review road operations and asset management related practices and specifications, and evaluate new solutions through formulating trial projects which includes fund seeking, engaging stakeholders and trial implementation. You are required to keep abreast of advancements in smart technologies, sustainability, big data and other intelligent tools and frameworks to enhance existing road operations and asset management practices. You will have the opportunity to work with various internal divisions within LTA, external government agencies, academia, consultants and contractors, in the exploration to leverage technologies to ensure our road network and assets are operated and managed effectively.

Requirements

  • Tertiary qualification in Engineering, Computer Science, Data Analytics or other related technical fields;
  • Relevant work experience, preferably in operations and management of assets, project management or data analysis;
  • Possess strong problem-solving ability;
  • Self-motivated, adaptable & possess strong sense of responsibility;
  • Able to work independently and a good team player;
  • Good writing, communication, analytical and interpersonal skills;
  • Candidates without working experience are also welcome to apply;
  • Experience in or good knowledge of the following will be an added advantage:
  • Common civil construction material such as asphalt, reinforced concrete, steel, etc; or
  • Data structure and management including those in statistical learning, machine learning, visualisation and ‘big data’ applications

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