Oak Ridge National Laboratory, Mathematics in Computation Section

Position ID: ORNL-MATHN [#20386, 8800]
Position Title: Staff Mathematician/Statistician - Data Analysis and Machine Learning
Position Type: Government or industry
Position Location: Oak Ridge, Tennessee 37830, United States [map]
Subject Area: Data Analysis and Machine Learning
Application Deadline: 2022/09/12 11:59PMhelp popup (posted 2022/08/12, listed until 2022/09/12)
Position Description:    

*** the listing date or deadline for this position has passed. ***

Requisition Id 8800 Overview: The Data Analysis and Machine Learning (DAML) Group is seeking an exceptional scientist to work on theoretical aspects of applied data analysis (DA) and machine learning (ML) techniques, customized to large-scale scientific application interests of the Department of Energy (DOE).

Major Duties and Responsibilities: The position requires collaboration within a multi-disciplinary research environment consisting of mathematicians, computational scientists, computer scientists, experimentalists, and engineers/physicists conducting basic and applied research in support of the Laboratory’s missions.

Specific responsibilities include: Participate in the development of innovative theoretical analysis and computational methodologies for data analysis and/or machine learning technologies, customized to large-scale scientific applications, including: additive manufacturing; quantum material design; scientific imaging for material discovery; medical and tomographic imaging; population and evolutionary dynamics; cyber security and power grid analysis; consumer behavior and market analysis; as well as uncertainty quantification for engineered systems. Lead and manage technical projects in the expansion of R&D programs while striving to work with and involve other areas of expertise within the laboratory. Collaborate with experts from various scientific disciplines and applications, and follow team planning, goals and quality processes. Present research results to sponsors, peer reviewers, and others and at national and international technical society meetings. Interact with industry and government sponsors in pursuit of new and additional research funding. Network and develop collaborative R&D with other groups and divisions internally and with DOE, the industry, and the utilities. Prepare new proposals to internal and external funding agencies. Develop research proposals that solicit new and ongoing work in the machine learning and research program. Publish original work in technical reports, peer reviewed journals, and professional society publications. Mentor junior staff and students. Maintain memberships in professional, academic, and research organizations.

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

Basic Qualifications: Ph.D. in Mathematics, Statistics, Engineering, Data/Computational Science, or a field relevant to the job duties mentioned. 3+ years of relevant research experience outside of Ph.D. Experience managing funded projects and science teams.

Preferred Qualifications: Broad/expert level background in machine learning. Expertise in deep learning and reinforced learning; graphical/network models; kernel methods. Familiarity with sparse grid methods; compressed sensing, data reduction, thresholding, and greedy approaches; stochastic optimization; as well as convex and non-convex regularizations. Demonstrated experience in the design and implementation of numerical algorithms in one or more high-level computing languages within a team environment. Ability to program in Python and knowledge of Machine Learning/Deep Learning frameworks, such as TensorFlow, PyTorch, etc. Excellent written and communication skills. To Apply: A complete application includes: Curriculum Vitae Research Statement Names and addresses of 3 references. This position does not require US Citizenship.

Questions: Contact Juan M. Restrepo (restrepojm@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

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: 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.

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.

Please note that all applicants MUST also apply through the ORNL applicant tracking system, http://jobs.ornl.gov


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Contact: Kate Carter
Email:
Postal Mail:
Oak Ridge National Laboratory, Bethel Valley Rd. MS6164, Oak Ridge, TN 37831
Web Page: jobs.ornl.gov