Position Summary: Work with elite cybersecurity experts and university faculty to build new data mining technologies that will influence the national strategy against cyber attacks in the coming decades. Projects may include developing metrics and experimental designs for large-scale cybersecurity research programs, researching human-in-the-loop machine learning, and analyzing cybersecurity incident data. You will co-author research proposals, execute studies, and present findings to DoD sponsors and academic conferences. Consider applying for this position if you are a proven computer science expert with a firm grasp of security principles and statistical theory.
Minimum Qualifications and Requirements:
Education/Training: Background in machine learning, security, statistics, or related quantitative field with a Bachelor’s degree and eight (8) years of experience; Master’s degree and five (5) years of experience; PhD and two (2) years of experience; or equivalent combination of training and experience.
Experience: Two plus (2+) years of experience.
Skills/Abilities: An ideal candidate will have expertise in the following areas. Experience with specific methods is less important than evidence that you can learn.
- Ability to perform computer science research related to cybersecurity
- Basic grasp of statistical models
- Comfortable working in the Unix command line
- Demonstrated ability to work in a multi-disciplinary environment
- Expert communication
Physical / Mobility: Mostly sedentary, with occasional meetings in nearby buildings.
Environmental Conditions: Close contact with computer for extended periods of time.
Mental: Meet deadlines while working on multiple tasks – sometimes under pressure and with shifting priorities. Deal collaboratively, diplomatically, and successfully with customers and colleagues.
Other: Candidates will undergo a background check and must be eligible to obtain and maintain a Department of Defense security clearance.
Preferred Qualifications and Requirements:
Education/Training: PhD in machine learning, computer science, statistics, or other related quantitative field.
Experience: Two plus (2+) years of experience in computer science or machine learning.
- Expertise implementing machine learning techniques (e.g., K-means, SVM, neural networks)
- Familiar with at least one mathematical/statistical programming package (e.g., python numpy/scipy/pandas, R, MATLAB, etc.)
- Strong software engineering skills
- Cybersecurity or privacy experience
- Experience supporting test and evaluation for large-scale government research programs is a plus
Decisions: The individual must be able to make decisions about the proper scope of assigned research. This includes being able to discern applicable paper topics, making decisions regarding experimental design and methods, and exercising strong time management skills. The individual must accurately represent the program in interactions with customers, sponsors, and the public.
Supervisory Responsibilities: This position may involve the training and supervision of graduate students and junior employees.
Job Functions or Responsibilities:
40% Data analysis & data analysis tool development.
25% Other types of research support including designing experiments and metrics.
15% Participating in the research community, including attending and presenting at conferences, and reading and writing academic papers.
10% Writing proposals and reports.
10% Consulting and project planning with other groups in the SEI.
100% Total Effort
Organizational Chart: CERT Program, Director > CERT Program, Technical Director for Cyber Security Foundations > Science of Cyber Security Research Manager > Applied Statistician / Data Scientist
Carnegie Mellon University is an EEO/Affirmative Action Employer – M/F/Disability/Veteran.