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Adversarial Machine Learning Jobs in Hawaii (NOW HIRING)

ManTech

Senior Collaboration Executive

Aiea, HI

$144K - $260K/yr

Support integrated risk management activities by identifying potential bottlenecks or adversarial ... Occasionally move about inside the office to access file cabinets, office machinery, or to ...

ManTech

Senior Collaboration Executive

Honolulu, HI

$144K - $260K/yr

Support integrated risk management activities by identifying potential bottlenecks or adversarial ... Occasionally move about inside the office to access file cabinets, office machinery, or to ...

All JobsAdversarial Machine Learning JobsAdversarial Machine Learning Jobs in Hawaii

Adversarial Machine Learning information

What are some common challenges faced by professionals working in Adversarial Machine Learning roles?

Adversarial Machine Learning professionals often face the challenge of staying ahead of rapidly evolving attack techniques that can compromise model integrity and security. Managing the balance between model performance and robustness is another key difficulty, as defenses against adversarial attacks can sometimes reduce accuracy or increase computational costs. Collaboration with data scientists, security teams, and software engineers is vital for developing resilient models and implementing effective defenses. Staying current with the latest research and tools is essential for success in this dynamic field.

What are the key skills and qualifications needed to thrive as an Adversarial Machine Learning specialist, and why are they important?

To excel in Adversarial Machine Learning, you need a strong background in machine learning, deep learning, statistics, and computer science, typically supported by an advanced degree in a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with adversarial attack and defense libraries, and knowledge of security protocols are crucial. Creative problem-solving, critical thinking, and strong communication skills help in designing robust models and explaining complex threats to stakeholders. These competencies are vital to anticipate vulnerabilities, safeguard AI systems, and ensure the reliability of machine learning models in real-world applications.

What is the difference between Adversarial Machine Learning vs Data Scientist?

AspectAdversarial Machine LearningData Scientist
CredentialsKnowledge of machine learning, cybersecurity, and threat detectionDegree in data science, statistics, or related fields
Work EnvironmentResearch labs, cybersecurity teams, AI developmentBusiness analytics, data analysis, model development
Industry UsageAI security, cybersecurity, machine learning researchBusiness, finance, healthcare, tech companies

Adversarial Machine Learning focuses on understanding and defending AI models against malicious inputs, often within cybersecurity contexts. Data Scientists analyze data to extract insights, build models, and support decision-making across various industries. While both roles require machine learning knowledge, Adversarial Machine Learning emphasizes security and robustness, whereas Data Scientists focus on data analysis and predictive modeling.

What is adversarial machine learning?

Adversarial machine learning is a field of study focused on understanding and defending against attacks that manipulate machine learning models by feeding them deceptive input, known as adversarial examples. These attacks can cause models to make incorrect predictions, raising concerns about the security and reliability of AI systems, especially in critical applications like image recognition and autonomous vehicles. Researchers in this area develop techniques to detect, prevent, and mitigate these vulnerabilities to make machine learning systems more robust.
What are popular job titles related to Adversarial Machine Learning jobs in Hawaii? For Adversarial Machine Learning jobs in Hawaii, the most frequently searched job titles are:
What job categories do people searching Adversarial Machine Learning jobs in Hawaii look for? The top searched job categories for Adversarial Machine Learning jobs in Hawaii are:
What cities in Hawaii are hiring for Adversarial Machine Learning jobs? Cities in Hawaii with the most Adversarial Machine Learning job openings:
Adversarial Machine Learning jobs near you
Assistant Professor - Cybersecurity AI [Trustworthy Artificial Intelligence] (#0084029)

Assistant Professor - Cybersecurity AI [Trustworthy Artificial Intelligence] (#0084029)

University of Hawaii

Honolulu, HI • On-site

Full-time

Posted 26 days ago

University Of Hawaii System rating

7.5

Company rating: 7.5 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

263rd of 537 rated colleges and universities

Job description

Salary: See Position Description
Location : UH Manoa, Honolulu, HI
Job Type: Full-Time Permanent
Job Number: 2025-02240
Department: University of Hawai'i at Manoa - College of Natural Sciences - ICS
Opening Date: 10/24/2025
Closing Date: Continuous
Position Number:: 0084029
Description
Title: Assistant Professor - Cybersecurity AI (Trustworthy Artificial Intelligence)
Position Number: 0084029
Hiring Unit: Department of Information and Computer Sciences
Location: Manoa Campus
Date Posted: October 24, 2025
Closing Date: Continuous; first review of applications begins January 15, 2026
Salary Information: Competitive and commensurate with qualifications and experience
Tenure Track: Tenure
Full Time/Part Time: Full time
Temporary/Permanent: Permanent
Description
The Department of Information and Computer Sciences (ICS) at the University of Hawai'i at Manoa invites applications for a full-time (9-month), tenure-track Assistant Professor Faculty position in the broad area of Cybersecurity AI: Trustworthy Artificial Intelligence. In particular applicants with background in Trustworthy and Secure AI (e.g., explainable AI, adversarial robustness, safety, privacy-preserving techniques, AI-based Deepfake) are encouraged to apply. The position will begin approximately August 01, 2026.
The University of Hawai'i at Manoa, a Carnegie R1 research university and the flagship campus of
the UH system, is a top-50 public university dedicated to providing world-class teaching, research,
and service.
Other Conditions:
Subject to position clearance. First review of applicants will begin January 15, 2026 with continuous recruitment until position is filled.
Duties and Responsibilities:
  • Teach and develop courses in information and computer sciences
  • Develop an extramurally funded research program
  • Publish outstanding work in leading scholarly journals and conference proceedings
  • Supervise graduate students; mentor and advise undergraduates
  • Participate in capstone project mentoring
  • Provide department, college, and university service
  • Other scholarly duties as assigned

Minimum Qualifications:
  • An earned Ph.D. in Computer Science or a closely-related discipline by the time of appointment from a college of university of recognized standing.
  • Demonstrated capability for high-quality research in trustworthy and secure AI such as robust AI systems, privacy-preserving machine learning, adversarial ML, or information propaganda. As well as trustworthy and secure AI with publications in top-tier computer conferences and journals including but not limited to NeurIPS, ICML, ICLR, JMLR
  • Demonstrated ability to teach effectively at the undergraduate and graduate levels
  • Strong potential for securing external funding
  • Demonstrated ability to collaborate with groups of students, faculty, and external partners of various backgrounds.
  • Professionalism in meeting and conferring with others

Desirable Qualifications:
  • Experience working with industry or mentoring students in internships or in other projects in collaboration with industry partners.
  • Experience with applied research and real-world problem-solving in partnership with government, industry, or nonprofit organizations.
  • Experience mentoring students from a variety of backgrounds and disciplines.

To Apply:
Click the "Apply" button on the top right corner of the job posting to complete an application and attach required documents. Documents include: (1) a cover letter showing how you satisfy the minimum and desirable qualifications, (2) A curriculum vitae with a publication list, (3) Names and contact information of three individuals willing to provide professional reference letters, (4) A statement describing research interests, accomplishments, and future research plans, (5) A statement describing experiences in, and approaches to, teaching and mentoring students, especially any experience mentoring software projects in collaboration with industry partners.
Note: If this is your first time using NEOGOV you will need to create an account.
Inquiries:
Please contact the hiring committee chair Mehdi Tarrit Mirakhorli at
EEO, Clery Act, ADA
The University of Hawai'i is an Equal Opportunity Institution and is committed to a policy of nondiscrimination in employment, including on the basis of veteran and disability status. For more information, visit: https://www.hawaii.edu/offices/eeo/policies/
Employment is contingent on satisfying employment eligibility verification requirements of the Immigration Reform and Control Act of 1986; reference checks of previous employers; and for certain positions, criminal history record checks.
In accordance with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act, annual campus crime statistics for the University of Hawai'i may be viewed at: https://www.hawaii.edu/titleix/help/campus-security/, or a paper copy may be obtained upon request from the respective UH Campus Security or Administrative Services Office.
Accommodation Request: The University of Hawai'i complies with the provisions of the Americans with Disabilities Act (ADA). Applicants requiring a reasonable accommodation for any part of the application and hiring process should contact the EEO coordinator directly. Determination on requests for reasonable accommodation will be made on a case-by-case basis. For further information, please refer to the following link: https://www.hawaii.edu/offices/eeo/accommodation-request/

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About University of Hawaii

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The University of Hawaii, located in Honolulu, HI, US, is an internationally recognized institution of higher learning. Spanning across ten campuses, including one online university, it represents the public system of higher education in the state of Hawaii. Established in 1907, the university operates in the educational services industry, its mission rooted in quality and affordable education for all. It offers over 600 different study programs, including undergraduate, graduate, and professional degrees in a broad spectrum of disciplines. Some of its unrivaled specialties encompass tropical agriculture, tropical medicine, oceanography, astronomy, electrical engineering, volcanology, and Pacific Islands and Asian area studies.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Honolulu, HI, US

Year founded

1907

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