MIT Lincoln Laboratory

About the Company

MIT Lincoln Laboratory is a federally funded research and development center chartered to apply advanced technology to problems of national security. Research and development activities focus on long-term technology development as well as rapid system prototyping and demonstration. These efforts are aligned within key mission areas. The Laboratory works with industry to transition new concepts and technology for system development and deployment.

Listed Jobs

Company Name

MIT Lincoln Laboratory

Job Title

Group 04-47 | SRP Intern - Critical Infrastructure Cybersecurity | Energy Systems | Summer 2026

Job Description

**Job Title:** SRP Intern – Critical Infrastructure Cybersecurity (Energy Systems) **Role Summary:** A 10–12 week summer internship focused on designing, implementing, and testing cybersecurity tools for U.S. energy infrastructure. Interns work with a multidisciplinary team to evaluate the resilience of power grid control systems and associated hardware, using simulation, hardware‑in‑the‑loop platforms, and real infrastructure testbeds. **Expectations:** - Current enrollment in a B.S., M.S., or Ph.D. program in computer science, electrical engineering, computer engineering, or a related technical discipline. - Strong analytical and problem‑solving skills. - Ability to work independently and collaboratively. - Effective written and verbal communication. - Ability to obtain and maintain a Secret level DoD security clearance. - U.S. citizenship required. **Key Responsibilities:** - Design and develop software tools for assessing cyber resilience of energy control systems. - Rehost or reverse‑engineer embedded firmware for security analysis. - Create protocol parsers for industrial control system (ICS) and proprietary network protocols. - Build realistic network simulation environments and digital twins for energy systems. - Perform network protocol analysis using Wireshark, Tcpdump, or Zeek. - Participate in hardware‑in‑the‑loop testing and field demonstrations with laboratory staff. **Required Skills:** - Programming: C/C++, Python, or Go. - Knowledge of industrial control protocols: Modbus, IEC 61850, DNP3, OPC, BACnet. - Network security fundamentals: basic cryptographic concepts, intrusion detection, penetration testing, or red‑team operations. - Experience with network simulation or hardware‑in‑the‑loop tools. - Strong analytical, written, and oral communication abilities. **Required Education & Certifications:** - Enrolled in a B.S., M.S., or Ph.D. program in Computer Science, Electrical Engineering, Computer Engineering, or related field. - U.S. citizenship; eligibility to obtain a Secret DoD security clearance. - No specific certifications required; familiarity with cybersecurity tools and protocols is advantageous.

Lexington, United states

On site

Fresher

12-01-2026

Company Name

MIT Lincoln Laboratory

Job Title

Group 02-24 | Co-Op | Biomedical Image Processing and Machine Learning | June - December 2026

Job Description

Job Title: Group 02-24 | Co‑Op | Biomedical Image Processing and Machine Learning | June – December 2026 Role Summary: Assist a multidisciplinary team researching human‑centered biomedical technologies by preparing and processing large biomedical imaging datasets, developing and evaluating machine‑learning and deep‑learning algorithms, and implementing data‑visualization tools for advanced medical imaging applications. Expectations: Self‑motivated, collaborative, with strong interest in image processing, machine learning, deep learning, statistical pattern recognition, and high‑performance cloud computing. Key Responsibilities: - Collect and preprocess large biomedical datasets (ultrasound, microscopy, X‑ray). - Design, implement, and evaluate machine‑learning models for biomedical imaging tasks. - Develop and maintain data‑visualization dashboards and tools for medical imaging analysis. - Collaborate with engineers, scientists, and clinicians to integrate ML solutions into prototypes. - Participate in model‑based systems engineering activities and contribute documentation. Required Skills: - Proficiency in Python and MATLAB. - Solid understanding of machine‑learning concepts (supervised, unsupervised, deep learning). - Experience with image/signal processing techniques. - Knowledge of statistical pattern recognition. - Familiarity with high‑performance cloud computing platforms (AWS, Azure, GCP). - Optional: Biomedical signal/image processing experience, interest in embedded AI/TinyML. Required Education & Certifications: - Currently enrolled in a B.S., M.S., or Ph.D. program (Biomedical Engineering, Electrical Engineering, Computer Science, or related field). - U.S. citizenship and ability to obtain/maintain a Secret‑level DoD security clearance.

Lexington, United states

On site

10-02-2026