Research Assistant/Research Associate/Research Engineer II (Remote Sensing and Machine Learning) Full-time

Predoctoral Researcher

School of Electrical and Electronic Engineering is one of the founding schools of the Nanyang Technological University. Built on a culture of excellence, the school is renowned for its high academic standards and research. With more than 130 faculty members and an enrollment of more than 4,000, of which close to 1,000 are graduate students, it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2021 QS World University Rankings by Subjects.

We are looking for a predoctoral researcher who can work as a data scientist, machine learning (ML) researcher, and ML engineer working in collaboration with external NUS and NParks cross-functional teams. A ML model that forecasts forest growth is the goal of this project, integrating microclimate and connectivity data provided by NUS Ecology and Geospatial teams. The researcher may also be enrolled as a part-time PhD or Master's student at NTU, in EEE or a related program.

Key responsibilities: In this project, the researcher must fill the three roles of data scientist, machine learning (ML) researcher, and ML engineer at a proportion of 2:5:3 respectively.

• Data Scientist: Perform fieldwork and curation of remote sensing data from UAV mapping missions across multiple forested sites.
• ML Researcher: Develop biodiversity classification and LIDAR canopy analysis algorithms based on UAV remote sensing data.
• ML Engineer: The system infrastructure for serving the UAV data to the research methods and provide data visualization for end-users. Construct a professional data portal for stakeholders to input the data and view the results using industry-standard software engineering practices. Liaise work between NTU, NUS, and NParks to bring the project to a successful ending.

Job requirements: Successful candidate should have a master's or honors degree with relevant research/work experience. Strong academic background in remote sensing, machine learning, or data science. Proven experience in software engineering (from industry or equivalent). Excellent written and oral communication skills.

We regret to inform you that only shortlisted candidates will be notified.

Hiring institution: NTU A research-intensive public university, Nanyang Technological University, Singapore (NTU Singapore) has 33,000 undergraduate and postgraduate students in the engineering, business, science, humanities, arts, & social sciences, and graduate colleges. It also has a medical school, the Lee Kong Chian School of Medicine, established jointly with Imperial College London. NTU is also home to world-class autonomous institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering – and various leading research centers such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU (ERI@N). Ranked amongst the world's top universities by QS, NTU has also been named the world's top young university for the past seven years. The university's main campus is frequently listed among the top 15 most beautiful university campuses in the world and has 57 Green Mark-certified (equivalent to LEED-certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore's healthcare district. Under the NTU Smart Campus vision, the university harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources.