Software Assurance, Formal Methods, Static Analysis Analyst


The Johns Hopkins University Applied Physics Laboratory (APL), a national leader in scientific research and development, located midway between Baltimore and Washington, DC is seeking a software assurance, formal methods, static analysis analyst.

Job Summary:

Seeking a highly motivated individual with experience in software assurance, static analysis, and/or formal methods to perform research and development improving the state-of-the-art in software assurance theory and practice.

Duties (Listed in order of importance with the estimated amount of time spent at each task):

  • Participate in research projects that create and apply static analysis and formal methods tools and techniques to real-world problems. Goals include formal verification of algorithms; improvement of the quality of code being analyzed; elimination of software bugs and design flaws. (40%)
  • Devise and develop algorithms, techniques, and new tools for improving software assurance. (20%)
  • Analyze data and results related to software assurance. Show the benefits of using static analysis and formal methods in software development; analysis of the effects of using analysis tools is critical to showing their usefulness. (20%)
  • Share knowledge by clearly articulating ideas through papers and presentations to technical staff, management and Government decision makers. Take advantage of opportunities to participate in working groups, sponsor meetings, proposal writing, and conferences. (20%)

Note: This job summary and listing of duties is for the purpose of describing the position and its essential functions at time of hire and may change over time.

Required Qualifications:

BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related field with at 5 years of experience with static analysis, formal methods, or related areas. Candidate should be experienced with static analysis and/or formal methods tools and techniques, such as model checking, theorem proving, programming language analysis and design, type theory, static source code analysis, and formal logic. Must be able to understand code in a

variety of programming languages, and be able to develop software to demonstrate new analysis capabilities.

Desired Qualifications:

MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related field with at 7 years of experience with static analysis, formal methods, or related areas. In addition to experience with the above, familiarity with operational semantics, abstract interpretation, symbolic execution, type inference.

Experience with software development on Linux, using languages such as OCaml, C/C , Java, and tools such as Coq and ACL2. Experience writing published papers and presenting results to conferences/workshops. Familiarity with information security concepts. Interest in improving software assurance to help reduce vulnerabilities and improve computer security. A current DoD clearance and prior experience working with Government agencies are desirable.

Special Working Conditions: Local limited travel may be required.

Security: Applicant selected will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

Benefits: APL offers a comprehensive benefits package including a liberal vacation plan, a matching retirement program, significant educational assistance, a scholarship tuition program for staff with dependents, and competitive salaries commensurate with skills and experience. For more information about our organization, please visit our web site at www.jhuapl.edu.

Equal Employment Opportunity: Johns Hopkins University/Applied Physics Laboratory (APL) is an Equal Opportunity/Affirmative Action employer that complies with Title IX of the Education Amendments Acts of 1972, as well as other applicable laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, disability, or protected Veteran status.

Back to top