AddressRequisition Id 13189
Overview:
The Computational Hydrology and Atmospheric Sciences Group (CHAS) within the Computational Sciences and Engineering Division, at Oak Ridge National Laboratory (ORNL) is seeking a scientist to develop and apply Computational and Artificial Intelligence (AI)/Machine Learning (ML) methods to advance hydrologic modeling and Earth system predictability. The successful candidate will demonstrate strong expertise and skills in computational sciences, hydrologic sciences, data analytics, high-performance computing (HPC), and Earth sciences. ORNL’s CHAS group conducts world-class research and development in hydrologic and atmospheric system modeling and evaluation, large scale data analytics and ML, and model-data integration at the US Department of Energy’s (DOE’s) Leadership Class Computing Facilities (LCFs).
As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an extraordinary 80-year history of solving the nation’s biggest problems. We have a dedicated and creative staff of over 6,000 people! Our vision for diversity, equity, inclusion, and accessibility (DEIA) is to cultivate an environment and practices that foster diversity in ideas and in the people across the organization, as well as to ensure ORNL is recognized as a workplace of choice. These elements are critical for enabling the execution of ORNL’s broader mission to accelerate scientific discoveries and their translation into energy, environment, and security solutions for the nation.
Major Duties/Responsibilities:
Work with the Earth scientists to advance hydrologic, atmospheric, and Earth system modeling and evaluation.
Develop and apply scalable computational and AI/ML methods to advance hydrologic and Earth system model prediction, uncertainty quantification (UQ), and data assimilation.
Integrate multimodal data with multitype models on heterogeneous HPC platforms.
Collaborate with a diverse team of Earth system and computational scientists, both within the CHAS group and across DOE Labs and partner universities, to leverage model-data integration for enhancing predictive understanding of the Earth system.
Publish research in peer-reviewed journals and present results at national and international conferences.
Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote diversity, equity, inclusion, and accessibility by fostering a respectful workplace – in how we treat one another, work together, and measure success.
Basic Qualifications:
2 years of post-Ph.D. experience.
Ph.D. in discipline relevant to Computational Hydrology.
A strong record of publication in high-quality, peer-reviewed, international journals
Preferred Qualifications:
Multiscale numerical simulation and ML-physics hybrid modeling of complex hydrologic and Earth systems.
Assurance for AI, including UQ and explainability of AI/ML systems.
Experience with the Linux operating system, LaTeX, Git, Python, Fortran, C/C++, OpenMP/MPI, and GIS software.
Experience in software development, e.g., compute codes on data analysis and AI/ML algorithms.
Computational scalability and performance of AI/ML algorithms, e.g., the scaling of algorithms on the HPC systems such as Frontier at ORNL.
Ability to collaborate with scientists, engineers, and students.
Experience in multiple Earth science applications of AI/ML.
Experience in proposal writing.
Excellent interpersonal skills for working within a highly diverse team, strong oral and written communications skills, good organizational skills, and high personal motivation.
Technical Questions:
Please contact Dan Lu lud1@ornl.gov.
Benefits at ORNL:
ORNL offers competitive pay and benefits programs to attract and retain talented people. The laboratory offers many employee benefits, including medical and retirement plans and flexible work hours, to help you and your family live happy and healthy. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also provided for convenience.
Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.
If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov or call 1.866.963.9545.
This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.
We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.
If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.
ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.
