Research Scientist in HPC and Learning for Discrete Computing Systems
Organisation Name: Oak Ridge National Laboratory
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Overview: The Discrete Computing Systems (DCS) Group in the Computer Science and Mathematics (CSM) Division at the Oak Ridge National Laboratory (ORNL) is seeking Research Scientists to perform research and development in applying high performance computing (HPC) and machine learning methods to discrete structures, simulation, optimization, and scalable learning with application to many man-made systems such as energy grids, social networks, and cyber-physical systems. We are looking for research scientists with a background and publication record in exploiting state-of-the-art hardware, middleware, and software elements of high performance computing (HPC) systems and latest machine learning methods such as deep learning. In this role, you will have the unique opportunity to perform cutting-edge research in algorithm development and analyses, exploiting parallel/distributed interfaces and runtimes, and demonstrating proof-of-concept prototypes at-scale. You will also have the opportunity to integrate into the group’s and division’s research in high performance discrete computing systems, techniques and applications aimed at collaborative science with domain scientists across the Laboratory and with external partners. Research duties of the position include theory development, proof-of-concept system implementations, computational experimentation, delivery of sophisticated HPC-based novel solutions to sponsors, and publication in scholarly venues. The position also requires program development including competitive proposal preparation and activities for attracting sponsored research and development projects. Job Duties and Responsibilities: Responsibilities for this position include working closely in the group and division to create, evaluate, and publish novel research ideas, supervise and mentor students, and collaborate with our partners and sponsors. Expectations in research and development activities include, but are not limited to the following: Demonstrates initiative and creativity in adding value to technical projects with minimum supervision. Works under general supervision with limited direct instruction. Teams cooperatively with others to accomplish common goals and achieve synergies. Leads or co-leads projects, and makes direct contributions, to develop novel solvers, engines, analyzers and services for HPC across multiple areas such as discrete event simulation, discrete optimization, graph generation and analysis, and discrete scientific data analysis Develops research project proposals, white papers, fact sheets, research briefs, and presentations. Publishes research results in scholarly articles at journals and peer-reviewed conferences of international reputation. Develops and maintains close professional relation with key university partners to undertake collaborative research and to co-advise advanced students at the Laboratory Participates in active service and leadership roles in professional bodies, such as IEEE and ACM, and maintains representation of ORNL in international program committees Actively collaborates and networks with other government labs, commercial computing vendors, and applications developers in related fields. Qualifications Required: An earned Ph.D. in computer science, computer engineering, computational science or closely related computing discipline At least 2 years of full-time work experience after Ph.D. (which may include post-doctoral work) Preferred Qualifications: Experience in technical areas such as Scalable machine learning methods, potentially applied to hundreds of accelerators Discrete event modeling methods and parallel simulation techniques Parallel data structures and algorithms applied at the scales of tens of thousands of processors or larger Scalable middleware for emerging accelerated node architectures and beyond Large-scale graph generation and graph analytics Development of MPI-based scalable codes applied to scientific computing Virtual machine internals, hypervisors, emulators, or hardware test-beds Discrete Element Method and applications Discrete/combinatorial optimization solver implementations and/or their applications to problems in energy and global security missions Scalable and optimized processing using state-of-the-art accelerators including GPUs and FPGAs, applied to problems such as image registration or detection, finite element methods, or unstructured problems Parallel solvers using explicit methods for large-scale differential equations Applicant should possess skills to effectively communicate research through presentations and reports Excellent teamwork skills are required at the level commensurate with an early-career research scientist, for working with sponsors and advanced fellow scientists 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 Benefits at ORNL: UT-Battelle offers a quality benefits package, including a matching 401(k), contributory pension plan, paid vacation, and medical/dental plan options. Onsite amenities include a credit union, medical clinic, cafeteria, coffee stands, and fitness facilities. Relocation: UT-Battelle offers a generous relocation package to ease the transition process. Domestic and international relocation assistance is available for certain positions. If invited to interview, be sure to ask your Recruiter (Talent Acquisition Partner) for details. For more information about our benefits, working here, and living here, visit the “About tab at jobs.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.
