The Critical Infrastructure Systems Lab is developing the next generation of computational models to study the feedbacks and interactions between climate, water, and power systems. In this project, you will contribute to a core element of this modelling effort, namely a coupling toolkit that allows to dynamically link different computational models. Job responsibilities include: (1) architecting a model coupling toolkit, (2) implementing and testing the toolkit on a high-performance computing cluster, (3) analysing simulation results (applications will be drawn from a variety of existing water and power system models), and (4) publishing in peer-reviewed journals and presenting results at scientific conferences. Besides contributing to the research activities of the project, the successful applicant is expected to provide occasional support to graduate and undergraduate students.
Candidates must have a PhD degree in Computational Science or Engineering, preferably in the fields of water and/or power system modelling. Strong programming skills in Python and experience with large-scale computing are a fundamental pre-requisite for the position. Experience with Fortran or C/C++ will be positively evaluated. The candidate is expected to be highly organized and a proactive person able to work both with a team and independently. Demonstration of innovative scientific results obtained during the PhD and communication skills are important elements of evaluation.
The successful candidate will be offered a Postdoctoral Associate position for 12 months, with possibility of extension based on performance and fund availability. The hiring offer range for this position is $56,484 to $80,000 depending on education, experience, discipline and relevant skills. The position can be remote, but the home location needs to be in the United States.
Application materials must be submitted on-line through AcademicJobsOnline. Through this website, applicants are to submit a cover letter, a detailed curriculum vitae that includes a list of publications, graduate transcript, and the names and contact information for at least three references. The successful applicant anticipated hire date is January/February 2024 (or earlier based on candidate’s availability). Review of applications will begin immediately and will continue until the position is filled. Questions can be directed to Dr. Stefano Galelli (email@example.com).
More info can be found here: https://galelli.cee.cornell.edu/openings/