Job Description

NSA's Mathematics Research Group conducts world-class mathematical research with the objective of developing new and innovative techniques and technologies to support our Signals Intelligence and Cybersecurity missions, as well as the broader Intelligence Community (IC). We are actively seeking mathematicians to join our Mathematics Research Group. The Group focuses on mathematics research in the applications of a wide range of technical areas, including quantum computing, cryptanalysis, cryptography, vulnerability research, machine learning, statistical analysis, machine learning security, network defense, digital forensics, and graph algorithms. The nature of NSA mathematics is highly computational; therefore, computer programing/scripting experience in one or more languages will be of great benefit to the ideal candidate.\n\nIn particular, the Mathematics Research Group is seeking candidates with experience in quantum computing research or development. Applicants with degrees in related fields such as Physics, Computer Science, and Data Science with demonstrated experience in quantum computing will be considered. The ideal candidate will have experience performing research or development in quantum computing, either alone or with a team.\n\nThis vacancy will use a structured selection process. Candidates will be required to undergo two structured interviews, one covering technical expertise in quantum computing and the other covering soft skills. Candidates will also be required to present a seminar talk on quantum computing research or development work they have performed. The qualifications listed are the minimum acceptable to be considered for the position.\n\nDegree must be in Mathematics, Physics, Engineering, Data Science, Computer Science, Statistics, or a related STEM field. Degree must include at least 24 semester credit hours (or 36 credit hours from universities on a quarter system) in advanced mathematics courses.\n\nRelevant experience must be in one or more of the following: the design, development, use, and evaluation of mathematics models, methods, or techniques (for example, algorithm development) to study issues and solve problems. Experience may also include, network engineering, computer science, physics, software engineering, electrical engineering.\n\nFULL PERFORMANCE\nEntry is with a Bachelor's degree plus 3 years of relevant experience, or a Master's degree plus 1 year of relevant experience, or a Doctoral degree with no experience.\n\nSENIOR\nEntry is with a Bachelor's degree plus 6 years of relevant experience, or a Master's degree plus 4 years of relevant experience, or a Doctoral degree plus 2 years of relevant experience.\n\nEXPERT\nEntry is with a Bachelor's degree plus 9 years of relevant experience, or a Master's degree plus 7 years of relevant experience, or a Doctoral degree plus 5 years of experience. NSA conducts world-class research with the objective of developing new and innovative techniques and technologies to support our Signals Intelligence and Cybersecurity missions, as well as the broader Intelligence Community (IC). \n\nWe are actively seeking experienced mathematicians or physicists with subject matter expertise in quantum algorithms and/or quantum error correction to support NSA's and the US Government's strategic efforts in quantum computing. If you are interested in joining a dynamic team with a proven track record of developing impactful research results, then please apply for this position. Candidates will be expected to engage with the NSA and US government quantum computing efforts, identify important research problems within this space, and conduct research to support NSA and US government goals in quantum computing.\n\nCandidates must have research and/or development experience (beyond basic coursework) in quantum algorithms and/or quantum error correction. Demonstrations of this record could include publishing in academic journals or delivering operational solutions to technical problems for customers from government or industry. A PhD is not required, although candidates must have acquired an advanced level of experience and mastery (beyond simply taking a few courses) in some area of quantum computing. Demonstrated success with effective technical writing and the ability to explain results to a non-technical audience is desirable. Experience with at least one of the following programming languages and/or software packages is desirable: C/C++, Rust, Python, SageMath, MAGMA.\n\nThe ideal candidate will have a grounded background in mathematical tools, techniques, and theory, as well as a drive to apply that knowledge to complex and often ambiguous real-world situations. The ideal candidate will also have the ability to prototype and implement solutions in computer code/scripting, and a desire to stretch outside their comfort zone in a career that offers lifelong learning opportunities.\n\nWhile the primary research focus for this position is quantum computing, candidates could also have the option to contribute to other mathematics research efforts of interest to NSA. These efforts involve a wide range of areas of mathematics, including linear algebra, number theory, probability, statistics, analysis, graph theory, or other areas of theoretical mathematics. Other areas of interest include cryptomathematics, algorithm development, computer network security, and vulnerability analysis. Interest in any of these areas is not required, but will be looked upon favorably. Candidates must possess:\n\n- Research and/or development experience (beyond basic coursework) in quantum algorithms and/or quantum error correction\n- Strong problem-solving and analytical skills\n- Desire for continual learning\n- Ability to work effectively both independently and within diverse teams\n\nThe ideal candidate has excellent problem solving, communication, and interpersonal skills. The following knowledge and skills would also be useful:\n\n-\tKnowledge of mathematical concepts, principles, and theories and familiarity with other scientific and engineering disciplines \n-\tKnowledge of mathematics and related disciplines to design, develop and adapt scientific methods and technologies.\n-\tKnowledge of analytical techniques to develop, simulate, and analyze data.\n-\tKnowledge of computer operations and standard software applications. \n-\tAbility to conduct research, including studies, experiments, and investigations.\n-\tAbility to analyze data using appropriate tools. \n-\tAbility to analyze problems to determine technical solutions.\n-\tExperience creating computer algorithms, data models, and protocols.\n-\tAbility to identify new applications of known techniques.\n-\tAbility to analyze data using statistical methods. \n-\tAbility to analyze new algorithms and protocols.\n-\tExperience developing and applying mathematical or computational methods.

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