Alston S. Householder Fellowship: Mathematics and Scientific Computing
Oak Ridge, TN, US, 37830
Oak Ridge National Laboratory
Requisition Id 14043
Overview:
The Mathematics in Computation Section at Oak Ridge National Laboratory (ORNL) invites outstanding candidates to apply for the Alston S. Householder Fellowship in mathematics and scientific computing. This prestigious postdoctoral fellowship is supported by the Applied Mathematics Research Program in the U.S. Department of Energy’s Office of Advanced Scientific Computing Research.
We are seeking applications from researchers in the broad domain of computational and applied mathematics, including algorithm analysis, artificial intelligence, combinatorial scientific computing, control theory, data science, data driven methods, discrete mathematics, graph algorithms, high-performance computing, integral equations and nonlocal models, linear and multilinear algebra, machine learning, mathematical analysis, mathematics of data, modeling & simulation, multiscale methods, numerical analysis, optimization, ordinary and partial differential equations, numerical solvers, quantum information science, statistics and probability, and uncertainty quantification, for applications with scientific and national priority. ORNL’s mathematics research efforts provide fundamental mathematical methods and algorithms needed to model complex physical, chemical, engineered and biological systems. ORNL’s computational science research focuses on extreme scale computing and data analysis, storage, visualization.
The Fellowship honors Dr. Alston S. Householder and recognizes his seminal research contributions to the fields of numerical analysis and scientific computing. Dr. Householder headed ORNL’s Mathematics Section and Mathematics Panel, which are today the Computer Science and Mathematics Division (CSMD). Each Householder Fellowship appointment is funded for a two-year appointment for recipients with proven exceptional academic records and achievements, along with formal mentorship and guidance designed to facilitate successful integration and alignment of their research activities within DOE programs. Recipients are expected to conduct research of the highest quality and impact, elevate the reputation of the Laboratory, and become scientific leaders. The fellowship offers collaborative research opportunities with highly motivated researchers in active programs at ORNL, a highly competitive salary, moving expenses, and a generous professional travel allowance.
The selected individual will pursue a combination of self-directed research and integration with existing ORNL research projects, and will be partnered with a senior staff mentor.
Major Duties/Responsibilities:
- Contribute to ORNL’s principal areas of research in mathematics and computer science.
- Collaborate with world class researchers on complex and challenging research questions of national importance.
- Disseminate research results in leading journals and at relevant conferences.
- Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service.
Basic Qualifications:
- A Ph.D., conferred after January 1, 2021 and no later than August 2025, in applied or computational mathematics or a related area, such as computer science, physics, engineering, or statistics.
- A compelling research proposal for self-directed research to be conducted as a Householder Postdoctoral Fellow. The research proposal must be mathematical in nature (broadly interpreted) and have relevance to computational, scientific, engineering, or analysis work at ORNL.
- Appropriate background and experience to pursue the proposed work.
- Applicants should not have previously served more than one postdoctoral appointment.
Preferred Qualifications:
- Ability to work in collaborative, interdisciplinary research environments on problems from diverse application domains and in partnership with specialists in other domains.
- Excellent written and verbal communication and interpersonal skills.
- Community leadership as evidenced via activities such as participation in student or professional organizations, organizational activities, etc.
- Related professional experience such as internships in industry or national labs, participation in visiting research programs, etc.
- Software development experience in C++, C, Fortran, MATLAB, R, Python, Julia, or related languages.
- Experience with high-performance scientific computing.
Application Requirements:
- A cover letter.
- A complete curriculum vitae.
- A 3-5 page research proposal for work you will conduct as a Householder Fellow, including the technical background, significance, and ideas for future work.
- Three Letters of Reference describing the applicant’s distinct contributions to their field of research. Please have letters sent to Householder-Fellowship-Applications@ornl.gov with "2025 Householder Fellowship” as the subject line.
How to apply:
- Apply at www.jobs.ornl.gov and submit a single PDF file containing your cover letter, CV, and a 3-5 page research proposal. Complete applications received through December 15th will receive full consideration. The position is open until filled.
Additional information:
- Our commitment to diversity: We are committed to creating an inclusive environment that highly values a diverse workforce. We recognize that a breadth of perspectives, insights, and experiences are necessary to drive the level of innovation in the sciences.
- Citizenship: US Citizenship is not required.
- Information: For more information about the Householder Fellowship or for technical questions please contact Juan M. Restrepo at restrepojm@ornl.gov.
About ORNL
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.
Benefits:
ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well-being of you and your family. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also available for added 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
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Banking Computer Science Data analysis Engineering Fortran Julia Machine Learning Mathematics Matlab Physics Python R Research Security Statistics
Perks/benefits: Career development Competitive pay Conferences Equity / stock options Fitness / gym Flex hours Flex vacation Health care Insurance Medical leave Parental leave Relocation support Wellness
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