Staff Mathematician - Computational and Applied Mathematics
Organisation Name: Oak Ridge National Laboratory
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Job Description:
Overview. The Computational and Applied Mathematics (CAM) Group is seeking qualified applicants for staff-level positions in several general areas, including data analytics, multiscale modeling and simulations, optimization, scalable algorithms (including mathematical software), and uncertainty quantification. Applicants will be expected to advance a program in fundamental mathematics research in a way that will lead to tangible impacts on DOE mission science. Major Duties and Responsibilities. The position requires collaboration within a multi-disciplinary research environment consisting of mathematicians, computational and computer scientists, and domain scientists (both theoretical and experimental) conducting basic and applied research in support of the Laboratory’s mission. Specific responsibilities include: Participation in the development and analysis of new computational methodologies for scientific problems, often customized to large-scale scientific applications. Delivery and support of mathematical technologies for various scientific disciplines and applications. Dissemination of research through peer-reviewed papers and technical reports, as well as seminar and conference presentations. Active participation in professional organizations. Basic Qualifications. Ph.D. in Mathematics, Applied Mathematical Engineering, Data/Computational Science or a field relevant to the job duties of this position. Demonstrated written and oral communication skills. Effective interpersonal skills. Preferred Qualifications. One of more of the following: Strong background in numerical methods and analysis for partial differential equations, optimization, high-dimensional sampling and approximation, or inverse problems. Demonstrated experience in the design and implementation of scalable numerical algorithms on HPC architectures and within a team environment. Demonstrated experience working with modern machine learning software tools and frameworks. Technical Questions? Contact Rick Archibald(archibaldrk@ornl.gov). Please reference the position title and number when corresponding about this position. ORNL Ethics and Conduct. As a member of the ORNL scientific community, you will be expected to commit to ORNL's Research Code of Conduct. Our full code of conduct, and a statement by the Lab Director's office can be found here: https://www.ornl.gov/content/research-integrity Relocation: Moving can be overwhelming and expensive. UT-Battelle offers a generous relocation package to ease the transition process. Domestic and international relocation assistance is available for certain positions. If invited to interview, be sure to ask your Recruiter (Talent Acquisition Partner) for details. For more information about our benefits, working here, and living here, visit the “About tab at jobs.ornl.gov. 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.
