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Postdoctoral Ethics Intelligence Artificial Jobs

Virginia Tech

Postdoctoral Associate

Blacksburg, VA · On-site

They are seeking multiple postdoctoral associates in Artificial Intelligence focused on biomolecular modeling, contributing to drug discovery and scientific advancements. Responsibilities : • ...

Virginia Tech

Postdoctoral Associate

Blacksburg, VA

Debswapna Bhattacharya's research group in the Department of Computer Science at Virginia Tech ( seeks to recruit multiple postdoctoral associates in Artificial Intelligence (AI) in Biomolecular ...

The Pennsylvania State University

POSITION SPECIFICS Postdoctoral Scholar (Machine Learning or Artificial Intelligence in Molecular and Cellular Biology) The National Synthesis Center for Emergence in the Molecular and Cellular ...

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How much do postdoctoral ethics intelligence artificial jobs pay per year?

As of Aug 8, 2026, the average yearly pay for postdoctoral ethics intelligence artificial in the United States is $59,022.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $66,500.00 per year, depending on experience, location, and employer.

What is postdoctoral ethics in artificial intelligence?

Postdoctoral Ethics in Artificial Intelligence refers to advanced research roles focused on the ethical implications of AI technologies. These positions are usually held by individuals who have recently completed their PhDs and are conducting further research on topics such as algorithmic fairness, transparency, accountability, and the societal impacts of AI. Postdoctoral researchers in this field work at the intersection of technology, philosophy, law, and social sciences to ensure AI systems are developed and used responsibly. Their work often involves publishing research, collaborating with multidisciplinary teams, and advising on policy or best practices for ethical AI deployment.

What are some common interdisciplinary collaboration opportunities for a postdoctoral ethics in artificial intelligence position?

Postdoctoral researchers focusing on ethics in artificial intelligence frequently collaborate with teams across computer science, philosophy, law, and social sciences. These collaborations often involve co-authoring research papers, contributing to ethics review boards, and working with engineers to integrate ethical frameworks into AI systems. Such interdisciplinary engagement helps ensure that ethical considerations are embedded throughout the AI development lifecycle and can also open doors for networking, joint grant applications, and future career opportunities in both academia and industry.

What are the key skills and qualifications needed to thrive as a postdoctoral ethics in artificial intelligence researcher?

To thrive as a Postdoctoral Ethics in AI researcher, you need a strong background in philosophy, ethics, or related fields, combined with expertise in artificial intelligence or computer science, typically evidenced by a Ph.D. Proficiency with research methodologies, programming languages (such as Python), and familiarity with AI development frameworks is often required. Exceptional analytical thinking, ethical judgment, interdisciplinary collaboration, and clear communication are vital soft skills for addressing complex moral issues in AI. These capabilities ensure responsible AI development, rigorous research outcomes, and effective dialogue between technologists and ethicists.

What is the difference between Postdoctoral Ethics Intelligence Artificial vs Postdoctoral Researcher?

AspectPostdoctoral Ethics Intelligence ArtificialPostdoctoral Researcher
Required CredentialsPhD in AI, Ethics, or related fieldsPhD in relevant research area
Work EnvironmentResearch labs, AI companies, academic institutionsUniversities, research institutes
Industry UsageFocus on AI ethics, responsible AI developmentBroad research across disciplines
Common Search IntentUnderstanding AI ethics roles, AI ethics researchGeneral research roles, academic positions

Postdoctoral Ethics Intelligence Artificial specialists focus on ethical considerations in AI development, often working in industry or specialized research labs. In contrast, Postdoctoral Researchers typically engage in broader academic research across various fields. Both roles require a PhD and involve advanced research, but their focus areas and work environments differ significantly.

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Postdoctoral Ethics Intelligence Artificial jobs near you
Infographic showing various Postdoctoral Ethics Intelligence Artificial job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, 9% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $59,022 per year, or $28.4 per hour.

Postdoctoral Scholar-Pediatrics CBMI

The University of Tennessee

Memphis, TN • On-site

Full-time

Posted 11 days ago

Job description


THIS IS A GRANT-FUNDED POSITION FUNDED UNTIL OCTOBER 1, 2027.
The Postdoctoral Scholar designs, develops, evaluates, and optimizes advanced artificial intelligence (AI) methods that support intelligent cancer patient navigation and clinical decision support. Under the direction of the Principal Investigator, this position leads research and development on multimodal machine learning, agentic AI, explainable AI, causal inference, predictive analytics, and continuous learning to develop trustworthy AI solutions that improve cancer care delivery.
Responsibilities
  1. Designs, develops, implements, and optimizes advanced artificial intelligence, machine learning, and multimodal AI models for intelligent cancer patient navigation and clinical decision support.
  2. Conducts research in explainable AI, agentic AI, causal inference, predictive analytics, knowledge representation, and continuous learning.
  3. Designs and evaluates AI algorithms using electronic health records, patient-reported outcomes, social determinants of health, medical imaging, and other healthcare data sources.
  4. Conducts benchmarking, validation, performance evaluation, and fairness, robustness, and explainability assessments of AI model.
  5. Collaborates with software engineers, clinicians, and interdisciplinary investigators to translate AI research into interoperable clinical applications and decision support tools.
  6. Develops and maintains reproducible analytical workflows and research software to support AI model development and evaluation
  7. Mentors graduate students and junior researchers throughout the project lifecycle.
  8. Prepares manuscripts, technical reports, conference presentations, and publications in leading journals and scientific meetings.
  9. Participates in proposal preparation and collaborative research activities supporting federally and state-funded research programs.
  10. Performs other duties as assigned.

Qualifications
Ph.D. in a relevant discipline (e.g. Medical Informatics, Computer Science, Software Engineering, Mathematics, etc.)
Track record of publications in top journals and conferences in the field. Strong track record of quantitative and analytics mastery, and expertise in Artificial Intelligence, Machine Learning, Causal Modeling, and Knowledge Graphs. Strong coding and implementation skills. Outstanding interpersonal skills and written and verbal communication capabilities.
WORK SCHEDULE: This position may occasionally be required to work weekends and evenings. May require occasional overnight travel.

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