From implementing Zero Trust logic to preparing for Post-Quantum Cryptography, you will transform ... Master's or PhD in a quantitative field (e.g., Statistics, Computer Science). * 5+ years of machine ...
From implementing Zero Trust logic to preparing for Post-Quantum Cryptography, you will transform ... Master's or PhD in a quantitative field (e.g., Statistics, Computer Science). * 5+ years of machine ...
Phd Cryptography information
What is a PhD in cryptography?
A PhD in Cryptography is a doctoral-level program focused on the study and advancement of cryptographic methods, protocols, and mathematical theories used to secure data and communications. Students in this program typically conduct original research on topics such as encryption algorithms, cryptographic protocols, and security systems. Graduates often pursue careers in academia, research institutions, cybersecurity, or technology companies, where they help develop and analyze secure systems to protect sensitive information.
What do PhD cryptographers do?
PhD cryptographers often tackle a wide range of advanced security challenges, such as designing new encryption algorithms, analyzing the security of cryptographic protocols, and implementing secure communication systems. In industry, they may collaborate closely with software engineers and product teams to ensure practical, robust security solutions are integrated into products. In academic or research positions, they frequently publish their findings, mentor junior researchers, and contribute to the development of cryptographic standards. The role usually requires balancing theoretical research with practical application, often working on multidisciplinary teams to address real-world security needs.
What skills and qualifications are needed to thrive as a PhD cryptographer?
To thrive as a PhD Cryptographer, you need advanced knowledge of mathematics, computer science, and cryptographic algorithms, typically supported by a PhD in a relevant field. Familiarity with cryptographic libraries (such as OpenSSL), programming languages (like Python, C++, or Java), and research publication tools is essential. Strong analytical thinking, problem-solving, and clear communication skills help you develop secure solutions and convey complex ideas. These competencies are critical to creating robust cryptographic protocols and advancing the field's security standards.
What is the difference between Phd Cryptography vs Cryptography Analyst?
| Aspect | Phd Cryptography | Cryptography Analyst |
|---|---|---|
| Required Credentials | PhD in Cryptography or related field | Bachelor's or Master's in Computer Science, Cybersecurity, or related field |
| Work Environment | Research labs, academia, R&D departments | Corporate, government agencies, cybersecurity firms |
| Industry Usage | Advanced research, academic publications, innovation | Security assessments, encryption implementation, threat analysis |
While a Phd in Cryptography focuses on research, development, and academic contributions, a Cryptography Analyst applies encryption techniques in practical security settings. Both roles require a strong understanding of cryptographic principles, but they differ in scope and work environment.
What are popular job titles related to Phd Cryptography jobs in Arizona?
For Phd Cryptography jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Phd Cryptography jobs in Arizona look for?
The top searched job categories for Phd Cryptography jobs in Arizona are:
What cities in Arizona are hiring for Phd Cryptography jobs?
Cities in Arizona with the most Phd Cryptography job openings:
ManTech rating
8.8
Based on 15 frontline employees who took The Breakroom Quiz
48th of 246 rated software companies
Job description
MANTECH is seeking a motivated, career, and team-oriented Senior Data Scientist to support a DHS customer in Chandler, AZ OR the National Capital Region. As part of this mission, you will help the organization maintain its prestigious designation as a Cybersecurity Service Provider (CSP) and Center of Excellence (COE). Our team manages a global footprint of 53,000+ nodes across complex cloud environments, generating a rich, high-velocity telemetry stream. You'll have the unique opportunity to engineer features across the entire Cyber Kill Chain, building ML-driven defenses to neutralize APTs. From implementing Zero Trust logic to preparing for Post-Quantum Cryptography, you will transform terabytes of raw network data into proactive, automated security intelligence. Responsibilities include but not limited to: * Design technical solutions for predictive risk analysis and risk mapping.
* Develop machine learning algorithms for User & Entity Behavior Analytics (UEBA).
* Engineer automated workflows to merge disparate data sources.
* Utilize data-driven insights to model the Cyber Kill Chain, predicting the next moves of Advanced Persistent Threats
* Design and maintain algorithmic risk-scoring engines that prioritize security alerts
* Create data models to determine the impact of cyber incidents. Minimum Qualifications: * Master's or PhD in a quantitative field (e.g., Statistics, Computer Science).
* 5+ years of machine learning engineering or data science experience.
* Certified Analytics Professional (CAP) certification.
* Proven experience working with complex cloud environments in AWS, Azure, GCP, or Oracle.
* Strong written and analytic skills Preferred Skills: * Proficiency in Python, JSON, C++, or Java and containerization (Kubernetes/Docker).
* Effective communication skills, presenting relevant technical information to government representatives
* Experience with post-quantum computing assessment/implementation Clearance Requirements: * Must be a U.S. Citizen.
* Must be able to obtain and maintain a Secret clearance.
* Must be able to obtain and maintain an ICE Entry on Duty (EOD) Suitability. Physical Requirements: * Must be able to remain in a stationary position 50% of the time.
* Occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers and customers.
* Develop machine learning algorithms for User & Entity Behavior Analytics (UEBA).
* Engineer automated workflows to merge disparate data sources.
* Utilize data-driven insights to model the Cyber Kill Chain, predicting the next moves of Advanced Persistent Threats
* Design and maintain algorithmic risk-scoring engines that prioritize security alerts
* Create data models to determine the impact of cyber incidents. Minimum Qualifications: * Master's or PhD in a quantitative field (e.g., Statistics, Computer Science).
* 5+ years of machine learning engineering or data science experience.
* Certified Analytics Professional (CAP) certification.
* Proven experience working with complex cloud environments in AWS, Azure, GCP, or Oracle.
* Strong written and analytic skills Preferred Skills: * Proficiency in Python, JSON, C++, or Java and containerization (Kubernetes/Docker).
* Effective communication skills, presenting relevant technical information to government representatives
* Experience with post-quantum computing assessment/implementation Clearance Requirements: * Must be a U.S. Citizen.
* Must be able to obtain and maintain a Secret clearance.
* Must be able to obtain and maintain an ICE Entry on Duty (EOD) Suitability. Physical Requirements: * Must be able to remain in a stationary position 50% of the time.
* Occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers and customers.
About ManTech
Sourced by ZipRecruiter
Industry
It services
Company size
5,001 - 10,000 Employees
Headquarters location
Herndon, VA, US
Year founded
1968