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Postdoctoral Research Associate - Data Analysis and Machine Learning

Date: Dec 30, 2020

Location: Oak Ridge, TN, US, 37831

Company: Oak Ridge National Laboratory

Requisition Id 4377 

Overview

The Data Analysis and Machine Learning Group is seeking qualified applicants for a postdoctoral position. The Data Analysis and Machine Learning Group develops new algorithms and foundational data analyses and machine learning algorithms that link theory, experiments, and computing and serves the research needs of the  Department of Energy.​

This position is within the Mathematics in Computation Section in the Computer Science and Mathematics (CSM) Division.  The Mathematics in Computation Section creates the mathematics and algorithms that harness machines, ideas, and data, that enable far reaching scientific breakthroughs. CSM delivers fundamental and applied research capabilities in a wide range of areas, including applied mathematics and computer science, experimental computing systems, scalable algorithms and systems, artificial intelligence and machine learning, data management, workflow systems, analysis and visualization technologies, programming systems and environments, and system science and engineering.

 
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.

 

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, including approximation theory, linear algebra, optimization.
•    Computational statistics.
•    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.

For further information, contact Dr. Rick Archibald (archibaldrk@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.  US citizenship is not required.
 

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

 

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.


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