Project Overview
Are you an engineer or earth scientist who is enthusiastic about building applications that make an impact? Be part of a world-class team working to protect forests and prevent transboundary smoke haze. We are a small, collaborative group in which you will be exposed to and learn from engineers and scientists from MIT, Stanford, NUS, and NASA while building code to predict the risk of peatland fires and transboundary smoke haze.
Responsibilities
- Work with the project leader to develop a prototype hydrological forecasting application.
- Extract and analyse hydrological and other remote sensing data.
- Implement Sequential Monte Carlo simulations of peat hydrology based on existing Python code.
Requirements
- Bachelor’s degree in software engineering, remote sensing, earth science, or a related field.
- Proficiency in Python (better still, Cython) or another programming language such as C, Rust or Julia.
- Experience working with remote sensing data is a plus.
- Familiarity with linear algebra is a plus.
- Experience in data assimilation and related statistical topics is a strong plus.
- Quality traits we are looking for:Organisational skills: setting and achieving short- and medium-term goals
Excellent communication and collaboration skills with the ability to effectively present and articulate design decisions.
Strong problem-solving skills and attention to detail.
This is a contract full-time position until 30 June 2025.
To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities
Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified.
