postdoctoral research associate – computational, data sciences and applied mathematics

DETALLES DE LA OPORTUNIDAD

Recompensa total

0 $

Universidad Estatal

Mathematics in Computation Section

Área

America

País anfitrión

Estados Unidos de América

Fecha límite

01 may. 2021

Nivel de estudio

Doctorado

Tipo de oportunidad

Postdoctorado

Especialidades

Matemáticas

Oportunidad de financiación

Financiación completa

Países elegibles

Esta oportunidad está destinada a todos los países

Región elegible

Todas las regiones

Overview:

Subject to budget considerations, the Mathematics in Computing Section is seeking qualified applicants for postdoctoral positions in several areas of research, including multiscale modeling and simulations, model reduction, iterative solvers, scalable algorithms (including mathematical software), uncertainty quantification, and optimization.
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 complex and 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.
Demonstrated written and oral communication skills.

Applicants will be expected to support research programs in fundamental mathematics.

Basic Qualifications:

Ph.D. in Mathematics, Computational Science, Engineering, Physics, or a field relevant to the job duties of this position.
Demonstrated written and oral communication skills.
Effective interpersonal skills.

Preferred Qualifications:

One or more of the following:

Background in numerical analysis and methods development for differential and integral equations.
Background in linear algebra and/or iterative solvers.
Expertise in multiscale problems and model reduction.
Experience developing mathematical tools for engineering or science applications.
Experience in the design and implementation of scalable numerical algorithms on HPC architectures and within a team environment.
Experience working with modern machine learning software tools and frameworks.

***U.S. Citizenship is not a requirement for this position.

Technical Questions? Contact Juan Restrepo (restrepojm@ornl.gov ). Please reference the position title and number when corresponding about this position.

Additional Information:
Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and availability of funding.

Benefits at ORNL:
UT Battelle offers an exceptional benefits package to include matching 401K, Pension Plan, Paid Vacation and Medical / Dental plan. Relocation: The appointment comes with a wide range of relocation benefits for individuals and families to make it easier to come and work here. If you are invited to interview, please ask your Recruiter about relocating with ORNL.

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

Please note that we only use Mathjobs.org for advertisement purposes. In order to be considered for any of our positions, all applicants MUST apply through the ORNL applicant tracking system, http://jobs.ornl.gov ;
Please contact Kate Carter, Talent Acquisition Partner carterka@ornl.gov with any further questions regarding the application process.

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