Requisition Id12134
Overview:
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. The OLCF has the charge to develop and apply transformational computational science capabilities in support of dramatic advances in our understanding of the physical world and using that knowledge to address the most pressing national and international concerns. It delivers leadership-class computing for science and engineering; focuses on grand-challenge science and engineering applications; procures largest-scale computer systems (beyond typical vendor design points) and develops high-end operational and application software; and educates and trains the next generation of computational scientists.
A postdoctoral research associate position is available immediately for candidates interested in and capable of performing leading-edge computational science research and development with a focus on computational imaging. Areas of specific interest include use of high-performance computing for imaging-based machine learning applications. This position will reside in the Advanced Computing for Life Sciences and Engineering Group within the Science Engagement section of NCCS. Members of the Advanced Computing for Life Sciences and Engineering Group within the Scientific Engagement Section partners 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.
The successful candidate will be mentored and teamed with a staff member in the Scientific Computing Group in the OLCF and will collaborate with leading computer and computational scientists at ORNL and the scientific imaging community in the development and application of new computational techniques specifically targeted at the key DOE Office of Science and other missions. The appointment will be for one year with the possibility of renewal for a second year depending on performance and the availability of funding.
Major Duties/Responsibilities:
Work closely with ORNL researchers in using the resources of the OLCF effectively and efficiently including
Developing and porting of scalable imaging applications and algorithms for OLCF and other leadership computers.
Debugging and tuning applications for high performance.
Developing performance models of existing scalable applications for future architectures through the use of proxy or mini applications.
Applying large-scale computational methodologies to meet scientific objectives.
Conduct research and report results in journal publications conference papers and technical manuals.
Deliver ORNLs mission by aligning behaviors priorities and interactions with our core values of Impact Integrity Teamwork Safety and Service. Promote diversity equity inclusion and accessibility by fostering a respectful workplace in how we treat one another work together and measure success.
Basic Qualifications:
A PhD in computer science mathematics data science electrical engineering scientific imaging or a related field completed within the last 5 years
Preferred Qualifications:
A strong computational science background in Computer Science Applied Mathematics or related field.
Deep understanding of application development techniques (programming models algorithms software) at scale (large processor counts).
Experience with one or more prominent software packages in the area of machine learning is highly desirable. These include but are not limited to TensorFlow PyTorch SciKitLearn and / or Keras.
Familiarity with C/C++ and accelerator application programming models such as CUDA HIP SYCL OpenMP Kokkos or Raja vectorization; MPI; and one-sided asynchronous programming models.
Experience in heterogeneous computing developing and debugging massively parallel algorithms and code performance profiling are a plus.
Excellent interpersonal skills oral and written communication skills organizational skills and strong personal motivation.
The ability to work in a dynamic team environment.
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 for up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and the availability of funding.
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 Life Insurance Pet Insurance 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.
