Computer Science Researcher in Data Science, Machine Learning, and High Performance Computing - ICL

Atlanta, GA 30303

Job Description

Full-time, permanent position available in the Information and Communications Laboratory working on a wide variety of data science and computer science/engineering problems. Our team is looking for data scientists and computer scientists with a strong applied research background with a focus on either data science, machine learning, or high performance computing. Experience in novel approaches for analyzing large datasets to extract meaning insight is preferred. In particular a research history in data science (statistical analysis and inference, machine learning, and graph analytics) as well as applied software engineering experience (using Python, R, Julia, etc.) are desired. Demonstrated experience working with multiple programming languages and development environments is preferred.

Applied Machine Learning experience is a key desired skillset with deep knowledge of both algorithmic principles as well as application details. Research in novel machine learning solutions including new algorithms, application at scale, or at the edge is desired.

Candidate needs to be able to communicate effectively their results both through documentation as well as through technical writing and reports. Candidate may also be asked to work on proposals for funding, thus proposal writing experience is preferred. A history of success in competitive research proposals is preferred. Candidates should be adept in learning new programming languages and frameworks quickly, and should be able to demonstrate the ability to integrate large projects together that span multiple languages and problem domains.

The projects are based out of the Tech Square area in Atlanta on the Georgia Tech campus. Occasional travel may be required and is project dependent. The High Performance Computing and Data Analytics branch at GTRI works on problems ranging from low-level computer architecture design, to building scalable algorithms and data structures, to machine learning and statistical inference. Our team spans the full technology stack to bring cutting-edge research in data analytics to scale, and then apply those analytics to real-world problems to enable actionable insight. Our team works on a variety of projects ranging from data analytics in healthcare, predictive modeling, predictive maintenance, and large scale parallel and discrete scientific models and simulations. We are looking for candidates that are excited by working on a variety of problems always with an eye on sponsor value, performance, and scalability.

This position may additionally support the design, development, analysis, and implementation of parallel computing codes on medium- and large-scale clusters. Additional job functions may include creating parallel computing tools and frameworks to support mission applications, implementing security controls on HPC systems, and contributing to technical reports. Experience with image/signal processing or functional programming is beneficial.

Candidate must be a US citizen eligible for a security clearance. An active clearance is not required at time of application.

Travel Requirements

<10% travel

Education & Length of Experience

Research Engineer/Scientist I

  • A Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, Physics, Industrial Sciences and Engineering, Computational Sciences and Engineering or other majors with sufficient work in the field of data science or computer science.

Research Engineer/Scientist II

  • A Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, Physics, Industrial Sciences and Engineering, Computational Sciences and Engineering or other majors with sufficient work in the field of data science or computer science and three (3) years of relevant full-time experience after completion of that degree,
  • A Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, Physics, Industrial Sciences and Engineering, Computational Sciences and Engineering or other majors with sufficient work in the field of data science or computer science and five (5) years of relevant full-time experience after completion of a Bachelors degree, or
  • A Doctoral degree in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, Physics, Industrial Sciences and Engineering, Computational Sciences and Engineering or other majors with sufficient work in the field of data science or computer science.

U.S. Citizenship Requirements

Due to our research contracts with the US federal government, candidates for this position are required to be US Citizens.

Clearance Type Required

Ability to obtain Secret Clearance upon hire

Diversity & Inclusion

Diversity & Inclusion (D&I) at Georgia Tech Research Institute aims to enhance the Institutes mission of solving the worlds most complex technical problems by creating a workforce with a shared appreciation for diversity, raising awareness around inclusiveness, and fostering a sense of belonging and appreciation for all members of our community.

Equal Employment Opportunity

Georgia Tech Research Institute is an Equal Opportunity Employer of individuals with disabilities and protected veterans and actively seeks diversity among its employees. Equal Employment Opportunity is the Law.

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Located in Atlanta, Georgia, the Georgia Institute of Technology is a leading research university committed to improving the human condition through advanced science and technology.

Ranked as the #7 best public university, Georgia Tech provides a focused, technologically based education to more than 21,500 undergraduate and graduate students.

Georgia Tech has many nationally recognized programs, all top-ranked by peers and publications alike, and is ranked in the nation’s top 10 public universities by U.S. News and World Report.

Degrees are offered through the colleges of Architecture, Computing, Engineering, Sciences, the Scheller College of Business, and the Ivan Allen College of Liberal Arts.

The strong academic work ethic at Tech is balanced by a collegiate atmosphere incorporating both intercollegiate and intramural sports, campus traditions, and some 400 student organizations.

Alongside their academic achievements, Tech students are also active in the community, earning a well-rounded education through community service activities.

As a leading technological university, Georgia Tech has more than 100 centers focused on interdisciplinary research that consistently contribute vital research and innovation to American government, industry, and business.

There is no doubt that Georgia Tech stands out as a distinctively different kind of university, one that is eagerly encouraging and developing the revolutionary technologies of the 21st century.

Equipped with the extremely rich resources of an outstanding student body and faculty; strong partnerships with business, industry, and government; and support from alumni and friends, Georgia Tech is designing a future of global preeminence, leadership, and service.

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Computer Science Researcher in Data Science, Machine Learning, and High Performance Computing - ICL

Georgia Tech Research Institute (GTRI)
Atlanta, GA 30303

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