MIT Lincoln Laboratory Data Science Researcher in Lexington, Massachusetts

What do we do in our Cyber-Physical Systems?

The Cyber-Physical Systems Group works closely with the nation's cyber forces, intelligence community, and federal agencies to identify operational gaps in cybersecurity capabilities and analyze their current and planned systems and missions. We focus on enabling full-scope DoD, IC, and civilian government operations within the cyber domain and across traditional mission domains and sensing layers. We conduct research and development of systems providing situational awareness (SA) and command and control (C2) in the cyber domain. Key technology development thrusts include novel sensors, actuators, sense-making, decision support, knowledge representation, Human Machine Interface (HMI), visualization, automated planning, cloud-based information sharing architectures.

We integrate these capabilities into secure, resilient, cost-effective information sharing architectures in support of effective mission operations. Group strengths include software development, significant testbed infrastructure, and connections to challenges, people, systems and data from multiple operational communities. Overall, we seek to leap ahead of evolving cyber threats and enable comprehensive and secure use of the cyber domain for military and intelligence missions.

Job Description

Data Science Researcher

The Cyber-Physical Systems Group works closely with the nation's cyber forces, intelligence community, and federal agencies to identify operational gaps in cybersecurity capabilities and analyze their current and planned systems and missions. We focus on enabling full-scope DoD, IC, and civilian government operations within the cyber domain and across traditional mission domains and sensing layers. We conduct research and development of systems providing situational awareness (SA) and command and control (C2) in the cyber domain. Key technology development thrusts include novel sensors, actuators, sense-making, analytics, decision support, knowledge representation, Human Machine Interface (HMI), visualization, automated planning, cloud-based information sharing architectures.

In this role, you will researching and developing innovative algorithms and analytic approaches to identify interesting or anomalous cyber activity, and developing prototype analytics capabilities using our extensive data catalog. Several operational network environments, complete with a range of over 60 real-time network and host data feeds, will be the basis for this work. Additional tasks could include interaction with cyber analysts to understand analytic needs and tasks, and to validate the utility, efficiency, and efficacy of analytic work.

Requirements:

MS in Computer Science, Computer Engineering or another related discipline with experience in a combination of. In lieu of a MS, or BS and 5+ years of directly related experience will be considered.

-Experience with machine learning, statistical modeling, user behavior modeling or data mining is required

-Experience with programming languages such as Python, Java, or R is required

-Experience working with big data processing technologies such as Spark, Hadoop, Mesos is required

-Experience with networking protocols, network security, network analysis and/or host forensics is desirable

-Experience with human-computer interaction, visualization, or user interface development is desirable

For Benefits Information, click http://hrweb.mit.edu/benefits

MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.

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