The Center for Environmental Sensing and Modeling (CENSAM) IRG seeks a Research Engineer to contribute to model development and inter-model communication in the field of urban climatology. The primary focus of this work is to evaluate the coupling and cross-communication methodology across various existing models. Additionally, the applicant should have knowledge on improving the programming efficiency and/or employing parallel computing.
The main project task is to create an open-source platform for model communication considering the following processes:
• Streamlining the geometry implementation into different models
• Facilitating the communication of input/outputs across different models
• Improving the efficiency of sub-models and incorporating parallel computing if needed
• Facilitating the accessibility of models by developing a simple yet user-friendly interface, aiding the automation processes, and developing detailed documentations
• Bachelor or Master of Science degree in Computer Science or other related fields.
• Have significant programming skills including previous experience or knowledge of different programming languages (experience with FORTRAN, C++ and Python is a plus).
• Have experience with parallel computing (experience or knowledge of Julia or Parallel Python is a plus).
• Preference is given to applicants with previous experience with co-simulation platforms (such as Functional Mock-up Interface and VisTrail) and have knowledge of advanced data visualization techniques.
The selection committee will rate the applications according to the following criteria:
1. Academic excellence
2. Work experience or potential
• relevant work experience and academic training;
• quality of contributions to development and research;
• critical ability, capacity for critical thought and analysis;
• determination and ability to complete projects within an appropriate period of time;
• initiative and autonomy;
3. Communication skills and Interpersonal abilities
The Research Engineer will work with Dr. Negin Nazarian based at the Singapore-MIT Alliance for Research and Technology (SMART) in Singapore, and under the supervision of MIT-based Professor Leslie Norford. Both full time and part time arrangements can be considered.
Interested applicants are invited to submit 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.