Princeton University seeks candidates for a new position within the fast-growing Research Software Engineering (RSE) Group. The successful candidate will play a crucial role in advancing our research efforts, bringing a strong background in software development, High-Performance Computing, and Machine Learning to the team.
In this position, you will be an integral part of the Maxwell research group in Princeton, collaborating with the Condon Lab at the University of Arizona. You will work on a project that provides fast and accurate watershed forecasting across the US to inform decisions about water management better. This tool will build on the success of HydroGEN, part of the HydroFrame framework, which combines outputs from ParFlow, Machine Learning, and field observations gathered using hf_hydrodata. In this role, you will be part of a team of RSEs, faculty, postdocs, and graduate students at Princeton University and the University of Arizona. Part of your role will involve interfacing ParFlow, our hydrology code written in C/C++ and CUDA, with an ML library (e.g., PyTorch) to generate fast and physically consistent results. You will also participate in developing, training, and fine-tuning the Machine Learning model.
The RSE Group collectively provides computational research expertise to multiple divisions within the University. As a central team of software experts, we focus on improving the quality, performance, and sustainability of Princeton's computational research software. Our group is dedicated to creating collaborative and inclusive environments that value the best software engineering practices and to sharing and applying cross-disciplinary computational techniques in new and emerging areas.
If you have a strong background in scientific computing and Machine Learning, you have the proper skill set to impact a high-profile research project immediately. You will have the opportunity to work on a cutting-edge project and learn from experienced professionals, fostering your personal and professional growth. We encourage you to bring your unique perspective and skills to our team.
The role is initially for two years, with the option to extend based on available funding and job performance.
A remote work arrangement within the United States may be considered for candidates with the appropriate background and experience during this term period. University-paid business travel to Princeton, NJ may be required approximately 2-4 times per year.
Application of Domain Expertise
RSE
Professional Development
ESSENTIAL minimum required knowledge, skills, competencies, and abilities
PREFERRED knowledge, skills, abilities, experience, and other education
Princeton University is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. KNOW YOUR RIGHTS
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About Princeton University
Princeton University is a vibrant community of scholarship and learning that stands in the nation's service and in the service of all nations. Chartered in 1746, Princeton is the fourth-oldest college in the United States. Princeton is an independent, coeducational, nondenominational institution that provides undergraduate and graduate instruction in the humanities, social sciences, natural sciences and engineering.As a world-renowned research university, Princeton seeks to achieve the highest levels of distinction in the discovery and transmission of knowledge and understanding. At the same time, Princeton is distinctive among research universities in its commitment to undergraduate teaching.Today, more than 1,100 faculty members instruct approximately 5,200 undergraduate students and 2,600 graduate students. The University's generous financial aid program ensures that talented students from all economic backgrounds can afford a Princeton education.
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