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Privacy Postdoc Jobs (NOW HIRING)

Virginia Tech

Postdoctoral Associate

Blacksburg, VA · On-site

Engineering, Research / Scientific The Data Security and Privacy Lab at Virginia Tech invites applications for a Postdoctoral Associate position in the areas of AI for cybersecurity, and ...

The Pennsylvania State University

... aspects of data privacy methodology, including validity of inference, measurement error ... For Postdoctoral benefits, please see our Postdoctoral Benefits page.) CAMPUS SECURITY CRIME ...

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$99.5K

$115.5K

$129.5K

How much do privacy postdoc jobs pay per year?

As of Jun 13, 2026, the average yearly pay for privacy postdoc in the United States is $115,505.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,000.00 and $129,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Privacy Postdoc, and why are they important?

A Privacy Postdoc typically requires a doctorate in computer science, law, or a related field, with in-depth knowledge of privacy theories, data protection laws, and research methodologies. Familiarity with privacy-enhancing technologies, statistical analysis software, and common research tools like Python or R is often expected. Strong analytical thinking, effective communication, and collaboration skills are crucial for presenting findings and working with interdisciplinary teams. These skills are vital to advance cutting-edge privacy research, inform policy, and address complex privacy challenges in academia or industry.

What is the difference between Privacy Postdoc vs Privacy Research Scientist?

AspectPrivacy PostdocPrivacy Research Scientist
Required CredentialsPhD in Computer Science, Data Privacy, or related fieldMaster's or PhD in similar fields, with research experience
Work EnvironmentAcademic institutions, research labsIndustry companies, tech firms, or research organizations
Employer & Industry UsageUniversities, government research grantsTechnology companies, cybersecurity firms
Search & Comparison IntentAcademic career, postdoctoral researchIndustry roles, applied research

The main difference between a Privacy Postdoc and a Privacy Research Scientist lies in their work environment and career focus. Privacy Postdocs are typically involved in academic research, often within universities or research institutions, focusing on advancing theoretical knowledge. Privacy Research Scientists usually work in industry, applying privacy principles to develop products or solutions. Both roles require strong research credentials, but their career paths and work settings differ significantly.

What types of research projects and collaborations can a Privacy Postdoc expect to be involved in?

As a Privacy Postdoc, you will typically work on interdisciplinary research projects focused on topics such as data privacy, cryptography, and privacy-enhancing technologies. You can expect to collaborate with faculty, graduate students, and sometimes industry partners, contributing both independent research and joint publications. The role often involves presenting findings at conferences, mentoring junior researchers, and staying current with evolving privacy regulations. This collaborative environment provides opportunities to expand your research portfolio and build a strong professional network.

What is a Privacy Postdoc?

A Privacy Postdoc is a researcher who has completed their doctoral studies and is now engaged in advanced research focused on privacy-related topics, such as data protection, information security, and ethical implications of technology. These positions are typically temporary (often 1-3 years) and are found in academic institutions, research centers, or industry labs. Privacy Postdocs work on developing new privacy-enhancing technologies, analyzing existing privacy policies, or exploring the societal impact of data collection. Their work often contributes to both the academic field and practical applications in privacy and security.
Infographic showing various Privacy Postdoc job openings in the United States as of June 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Contract. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $115,505 per year, or $55.5 per hour.

Postdoctoral Fellow - Adaptive Extended Reality, Human-Centered AI, and Privacy

Carnegie Mellon University

Pittsburgh, PA • On-site

$47K - $64K/yr

Full-time

Posted 9 days ago

Carnegie Mellon University rating

8.6

Company rating: 8.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

51st of 536 rated colleges and universities

Job description

Description
The Human-Computer Interaction Institute (HCII) at Carnegie Mellon University (CMU) invites applications for a two-year Postdoctoral Fellowship focused on advancing adaptive extended reality systems that are responsive to users, context, tasks, and environments. The position is based in the Augmented Perception Lab, led by David Lindlbauer, and offers an opportunity to conduct cutting-edge research at the intersection of human-computer interaction, augmented and virtual reality, human-centered AI, sensing, interaction techniques, and usable privacy.
The postdoctoral researcher will help shape a research agenda around next-generation XR systems that perceive and adapt to people's needs while respecting user agency, social norms, and privacy. We are especially interested in candidates whose work bridges technical XR system building with empirical studies of how people use, understand, and negotiate adaptive interfaces in everyday and collaborative settings.
This position is full-time and based in Pittsburgh, PA. CMU offers a vibrant interdisciplinary research environment across the Human-Computer Interaction Institute, the School of Computer Science, and related programs, with extensive opportunities for collaboration, mentorship, and professional development.
Project Overview
Research in the Augmented Perception Lab explores how interactive systems can sense, understand, and adapt to users and their environments. This postdoctoral position will focus on adaptive XR interfaces that dynamically respond to changing contexts.
Potential research directions include:
• Adaptive XR interfaces: Designing and studying augmented and virtual reality systems that adapt their visualizations, interaction techniques, level of automation, or spatial behavior based on user goals, attention, activity, environment, and social context.
• Privacy-aware adaptation: Investigating how XR systems can make privacy-sensitive decisions in shared, dynamic, and multi-user environments, including when and how to reveal, hide, transform, or negotiate information.
• Human-centered AI for XR: Developing AI-supported XR systems that infer context, support authoring and customization, or help users manage complex spatial and social interactions while preserving transparency and control.
• Design tools and evaluation methods: Building tools, prototypes, and study methods that help designers, developers, and end users reason about adaptive XR behavior, privacy implications, and user experience.
The postdoctoral researcher will use a human-centered, iterative research approach, including prototype development, interaction design, qualitative and quantitative studies, and deployment-oriented evaluations. The position is well suited for a researcher with a strong background in AR/VR, HCI, usable privacy, and human-AI interaction.
Qualifications
Required Qualifications
Applicants should have:
• A Ph.D. in Human-Computer Interaction, Computer Science, Information, Design, or a related field by the start date.
• Expertise in one or more relevant research areas, such as augmented reality, virtual reality, mixed reality, human-AI interaction, adaptive interfaces, interaction techniques, usable security and privacy, or human-centered systems.
• A strong track record of empirical HCI research with users, designers, developers, or other stakeholders.
• Experience designing, building, and evaluating interactive systems or research prototypes.
• A strong publication record in leading HCI, XR, or related venues.
Preferred Qualifications
We are especially excited about candidates who have:
• Experience designing or studying adaptive, context-aware, or personalized XR systems.
• Expertise in privacy, security, safety, or social acceptability issues in AR/VR/MR.
• Experience with multi-user, collaborative, or socially situated XR scenarios.
• Experience building AR/VR prototypes using platforms such as Unity, Unreal, WebXR, or related toolkits.
• Familiarity with AI-supported interfaces, generative AI, sensing, or computational interaction approaches.
• Experience with qualitative, quantitative, mixed-methods, or design research methods.
Application Instructions
Applicants should submit the following :
• A CV
• Names and email addresses of references
• A 2-page research statement describing your interests, relevant expertise, and fit with adaptive XR, human-centered AI, and privacy-focused research
Applications will be reviewed on a rolling basis until the position is filled.

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