As part of the Environmental Monitoring Instrumentation Branch, you will oversee and manage a team of senior/executive engineers and engineering managers and will be responsible for the following:

• Plan and manage the setup of new air quality supersites, including calling and managing contracts, work with academics and vendors to evaluate air quality monitoring systems.

• Manage the maintenance, repair and replacement of the scientific air pollutant analysers and station shelters according to set schedule to ensure smooth operations of our air and water monitoring systems

• Plan the implementation of upgrading and migration of the related ICT systems and platforms to ensure it meets IT security requirements and requirements

• Review of existing air / water monitoring systems and work processes to identify and implement improvements at a system level (e.g. automation of processes, remote access of data from portable equipment, suitable technological solutions and scientific instrumentations/systems), to enhance efficiency of operations and management of the various systems

• Propose and plan the implementation of testbeds and trials for emerging technologies and systems for monitoring of air and water quality

• Plan and perform data analysis on data collected from trials or air and water monitoring systems, to identify areas of improvement, insights, or to assess the effectiveness of the systems/trials, as well as conceptualise, plan, and implement the next phase or steps for the identified system. 

• Translate successful test bedding projects and trials to operational monitoring systems, taking into consideration all necessary operational, site integration and IT security requirements

• Collaborate with internal departments, external agencies and vendors, to develop and integrate new monitoring systems onto a common NEA-wide sensor platform

• Degree in Environmental/Chemical/Electrical/Mechanical Engineering

• Preferably 5 years of working experience in Environmental/Chemical/Electrical/Mechanical engineering fields.

• Self-motivating and driven to learn, innovate and improve processes

• Demonstrate ability to work both individually and as part of a team

• Good analytical and thinking skills, and demonstrate ability to solve problems and think out of the box

• Good command of spoken and written English

• Background/experience in environmental analysers, data analytics and machine learning will be advantageous

• As part of the shortlisting process for this role, you may be required to complete a medical declaration and/or undergo further assessment.

Applicants will be updated on the status of their applications within 4 weeks of the closing date of this job posting.