Computational Imaging Scientist

Requisition Id 10237 

Overview: 

Oak Ridge National Laboratory is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver transformative solutions to compelling problems in energy and security.

The National Center for Computational Sciences (NCCS) provides state-of-the-art computational and data science infrastructure for technical and scientific professionals to accelerate scientific discovery and engineering advances across a broad range of disciplines. As an important part of the broader High-Performance Computing (HPC) infrastructure, the division also hosts the Oak Ridge Leadership Computing Facility (OLCF), a Department of Energy Office of Science User Facility.

We seek to hire a Computational Imaging Scientist to join our Advanced Computing in Life Sciences and Engineering Group within the Science Engagement section of NCCS. In this role, you will participate as a liaison between NCCS and the users of the NCCS computing resources and relevant NCCS vendor partners, providing deep technical expertise in high performance computing that can be applied to a diverse range of scientific disciplines. 

Members of the Advanced Computing for Life Sciences and Engineering Group within the Scientific Engagement Section partner with HPC and data analytics users in climate science, geophysics, biology, biomedical sciences, and engineering to enable, promote and optimize the use of, and to maximize the benefits of using the world class facilities provided by NCCS. Members of the group liaise with and represent users and user applications within NCCS, carry out independent research, and provide broad expertise, technical input and service within the division to assist in strategic decision making, future system and infrastructure development, procurement and deployment, and to further the mission of NCCS and Oak Ridge National Laboratory. 

Major Duties/Responsibilities: 

Represent the needs of a broad range of application communities for NCCS planning and decision-making. 
Forge collaborations with other researchers, both internally at ORNL and externally, on topics of mutual interest. This includes collaborating scientifically with awarded OLCF projects.
Assist with the development of proposals for computational imaging science research projects.
Conduct research and report results in journal articles, conference papers, and technical manuals.
Collaborate with other computational and computer scientists to develop, integrate, port, tune, and debug applications to take advantage of the capabilities of the OLCF leadership-computing environment and other NCCS resources.
Assist users in moving data and programs into and out of the NCCS environment and help with scheduling applications at scale to meet the scientific needs of the users.
Provide expertise in current OLCF procurement activities and assist in capability planning exercises for future OLCF procurements
Advise and work with the NCCS Systems and Operations sections to understand the needs of computational scientists in a broad range of domains.  Participate directly in formulating policies to maximize scientific productivity of the NCCS compute resources.
Participate in community-wide efforts to define the requirements for system software, libraries, and tools to meet the needs of the application users.
 

Basic Qualifications:

A Ph.D.in imaging science, computer science, machine learning, data science, mathematics, biology, medicine, or other related field. 
Minimum of   year of experience in imaging science, computer science, machine learning, data science, mathematics, biology, medicine, or other related field with demonstrated experience developing application codes and/or libraries for high performance computing resources.
Experience with numerical methods, machine learning, artificial intelligence, parallel algorithms, MPI, GPU programing, and / or a common scientific computing programming language (i.e., Fortran, C++ and/or C, and python).
Parallel software development targeting large-scale computational resources.
 

Preferred Qualifications:

The ability to independently pursue novel research topics and provide leadership in the field of computational imaging and machine learning. 
The ability to work in a dynamic team environment.
Excellent written and oral communication skills
Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory 
Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs
 

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.

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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.