[ES_JOBS_NET] Research Software Engineer: ML and HPC for Coastal Climate Science and Community Climate Risk Management

[Robert Kopp]

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Research Software Engineer: ML and HPC for Coastal Climate Science and Community Climate Risk Management
for more information and to apply: https://jobs.rutgers.edu/postings/154667

The Rutgers University Department of Earth & Planetary Sciences invites applications for a software engineer. The candidate will join the Rutgers University Earth System Science & Policy Lab (earthscipol.net)<https://earthscipol.net/>, under the direction of Professor Robert Kopp, and its collaborators in the Megalopolitan Coastal Transformation Hub<http://coastalhub.org/> (MACH).  The position will be co-mentored by Professor Shantenu Jha  in the Research in Advanced DIstributed Cyber-infrastructure and Applications Laboratory<http://radical.rutgers.edu/> (RADICAL) in the Rutgers School of Engineering.

This is an excellent opportunity for a software engineer looking to learn more about and apply their talents to climate science and community climate risk management, or for a climate scientist looking to expands their software engineering skills.

The software engineer will serve as the lead developer for two projects.

The Framework for Assessment of Changes To Sea-level (FACTS) is an open-source sea-level projection framework that was used to support the development of projections for the Intergovernmental Panel on Climate Change’s Sixth Assessment Report and the US Interagency Sea Level Rise Scenarios Task Force. The research software engineer will develop new modules and capabilities for FACTS. They will also coordinate with the scientists and practitioners using FACTS, as well as the growing set of scientist-developer contributors to the code base, to ensure that FACTS and associated tools are capable of meeting the needs of users in the scientific and practitioner communities and to make FACTS a widely used community toolkit.

The National Science Foundation-funded PaleoSTeHM project is developing a framework for spatio-temporal hierarchical modeling of paleo data that builds upon modern, scalable software infrastructure for machine learning and probabilistic programming. PaleoSTEhM’s goal is to develop a framework that keeps pace with software engineering advances and makes these powerful modeling approaches broadly available to the paleo science community.

The software engineer will also work with researchers, community members, and decision-makers in the Lab, MACH and the NASA Sea-Level Change Team to develop other modeling, analysis, visualization, and decision support tools. Desired areas of expertise include high-performance computing, machine learning/probabilistic programming, statistical analysis of large datasets, optimization techniques, data visualization, and development of web-based graphical user interfaces. Interest in climate and sea-level change is essential, though past experience in these areas is not required.

Experience with Python, Linux, and HPC systems is essential, and experience with Dask, xarray, and netCDF files is strongly desired. The successful candidate will generally have a Master’s degree in a relevant field, although other candidates with significant experience and a demonstrated record of success in scientific computing may also be considered.

The position will be based at Rutgers-New Brunswick, with remote work possible. The position is a grant-funded annual position, with excellent possibility of renewal for one or more additional years. The salary will be competitive, commensurate with experience, and will comply with Rutgers University guidelines. The position is listed as full-time but part-time applicants will also be considered. For candidates with a Ph.D., there is a possibility of transitioning to a non-tenure track assistant research professor position.

Rutgers, The State University of New Jersey, is an Equal Opportunity/Affirmative Action Employer. Qualified applicants will be considered for employment without regard to race, creed, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, genetic information, protected veteran status, military status or any other category protected by law. As an institution, we value diversity of background and opinion, and prohibit discrimination or harassment on the basis of any legally protected class in the areas of hiring, recruitment, promotion, transfer, demotion, training, compensation, pay, fringe benefits, layoff, termination or any other terms and conditions of employment.
Review of applications will begin immediately. For more information and to apply: https://jobs.rutgers.edu/postings/154667

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