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Human Performance Phd Jobs in Florida (NOW HIRING)

Propose data-driven solutions to performance challenges and contribute to continuous improvement ... A PHD or ABD can substitute on a year-for-year basis for required experience. Preferred Skills ...

Propose data-driven solutions to performance challenges and contribute to continuous improvement ... A PHD or ABD can substitute on a year-for-year basis for required experience. Preferred Skills ...

Propose data-driven solutions to performance challenges and contribute to continuous improvement ... A PHD or ABD can substitute on a year-for-year basis for required experience. Preferred Skills ...

Propose data-driven solutions to performance challenges and contribute to continuous improvement ... A PHD or ABD can substitute on a year-for-year basis for required experience. Preferred Skills ...

Propose data-driven solutions to performance challenges and contribute to continuous improvement ... A PHD or ABD can substitute on a year-for-year basis for required experience. Preferred Skills ...

Propose data-driven solutions to performance challenges and contribute to continuous improvement ... A PHD or ABD can substitute on a year-for-year basis for required experience. Preferred Skills ...

Propose data-driven solutions to performance challenges and contribute to continuous improvement ... A PHD or ABD can substitute on a year-for-year basis for required experience. Preferred Skills ...

Propose data-driven solutions to performance challenges and contribute to continuous improvement ... A PHD or ABD can substitute on a year-for-year basis for required experience. Preferred Skills ...

Propose data-driven solutions to performance challenges and contribute to continuous improvement ... A PHD or ABD can substitute on a year-for-year basis for required experience. Preferred Skills ...

Showing results 21-40

Human Performance Phd information

What is a Human Performance PhD?

A Human Performance PhD is an advanced research degree focused on understanding and optimizing human physical capabilities, health, and well-being. Students in this program typically study topics such as exercise physiology, biomechanics, motor learning, and sports psychology. Graduates often pursue careers in academia, research, sports science, or health-related fields. The program involves both coursework and original research culminating in a dissertation. This degree prepares individuals to contribute to advancements in human performance and health.

What are some common challenges faced by Human Performance PhD professionals when transitioning from academia to industry roles?

Human Performance PhD professionals often find that transitioning from academia to industry requires adapting to faster-paced project timelines, a greater emphasis on teamwork, and a need for clear, actionable results. Unlike academia, where research depth and publication are prioritized, industry roles typically focus on practical applications, data-driven decision-making, and collaboration with multidisciplinary teams. Building strong communication skills and learning to translate research findings into solutions that address business needs are key to a smooth transition.

What are the key skills and qualifications needed to thrive as a Human Performance PhD, and why are they important?

To thrive as a Human Performance PhD, you need advanced knowledge in exercise science, physiology, biomechanics, and research methodology, typically supported by a doctoral degree in a related field. Experience with statistical analysis software like SPSS or R, lab equipment for physiological testing, and relevant research certifications are commonly required. Exceptional analytical thinking, communication, and collaboration skills help you design studies, publish findings, and work with multidisciplinary teams. These competencies are crucial for driving innovation, ensuring valid research outcomes, and enhancing performance strategies in academic or applied settings.

What is the difference between Human Performance Phd vs Human Factors Specialist?

AspectHuman Performance PhdHuman Factors Specialist
Required CredentialsPhD in Human Performance or related fieldBachelor's or Master's in Human Factors or related field, often with certifications
Work EnvironmentResearch institutions, academia, or advanced consultingIndustry settings, technology companies, government agencies
Employer & Industry UsageResearch-focused organizations, universitiesDesign, usability, safety in tech, aerospace, healthcare

While both roles focus on optimizing human interaction with systems, a Human Performance Phd typically involves advanced research and academic work, whereas a Human Factors Specialist applies practical design and usability principles in industry settings. The Phd is more research-oriented, while the specialist role emphasizes applied skills in real-world environments.

What can I do with a human performance Phd?

A Human Performance PhD prepares individuals for careers in research, academia, sports science, rehabilitation, and organizational consulting. Graduates often work as researchers, university professors, sports performance specialists, or human factors consultants, utilizing skills in data analysis, biomechanics, and physiology. Certification and experience in related tools or methodologies can enhance employment opportunities.

What job categories do people searching Human Performance Phd jobs in Florida look for?

The top searched job categories for Human Performance Phd jobs in Florida are:

What cities in Florida are hiring for Human Performance Phd jobs?

Cities in Florida with the most Human Performance Phd job openings:

Head of Data Science - Document Verification & Biometrics

Socure

Miami, FL • On-site

Full-time

Re-posted 10 days ago


Job description

Job Summary:
Socure is building the identity trust infrastructure for the digital economy, and they are seeking an exceptional leader to drive AI-powered Document Verification and Biometrics solutions. This role involves owning the data science strategy and execution, leading a team of data scientists, and advancing fraud detection capabilities.
Responsibilities:
• Own and define the data science vision for Document Verification, Biometrics, and Reusable ID, delivering step-function improvements in accuracy, speed, and user experience.
• Lead and scale a high-performing team of data scientists and applied researchers, setting a high standard for execution, innovation, and accountability.
• Architect and deploy state-of-the-art computer vision and multimodal systems, including vision-language models (VLMs), for document understanding, face matching, liveness detection, and identity verification.
• Drive the development of domain-specific foundation models tailored to identity, documents, and biometrics, leveraging large-scale proprietary datasets.
• Lead the transition to agentic systems, building intelligent agents that can reason over document and biometric signals, automate verification workflows, and adapt dynamically to new fraud patterns.
• Advance fraud and attack detection capabilities, including deepfake detection, presentation attack detection, and counterfeit document detection.
• Design and implement secure and robust systems resilient to emerging threats such as prompt injection and adversarial attacks on multimodal and agent-based systems.
• Leverage vector databases and embedding systems to power similarity search, identity linking, and reusable identity experiences.
• Partner closely with Product, Engineering, and Risk teams to deliver scalable, production-grade solutions that meet both business and regulatory requirements.
• Drive rapid experimentation and deployment, balancing innovation with reliability, explainability, and compliance.
• Own customer communication and stakeholder management, serving as a trusted technical leader in engagements with customers, partners, and internal stakeholders; clearly articulate model behavior, agentic systems, performance trade-offs, and roadmap decisions while building strong, long-term relationships.
• Represent Socure externally as a thought leader in biometrics, document AI, and fraud prevention.
Qualifications:
Required:
• Advanced degree (MS/PhD preferred) in Computer Science, Electrical Engineering, Machine Learning, or a related field.
• 10+ years of experience in data science, machine learning, or applied AI, with a strong track record of building and deploying production systems.
• Deep expertise in computer vision and multimodal AI, including experience with vision-language models (VLMs).
• Proven experience building domain-specific foundation models or large-scale representation learning systems.
• Strong understanding of biometric systems, including face recognition, liveness detection, and anti-spoofing techniques.
• Experience detecting and mitigating deepfakes, presentation attacks, and counterfeit documents.
• Strong understanding of agentic system design, including agent skills, orchestration/harness frameworks, and real-world deployment of autonomous or human-in-the-loop agents.
• Experience with vector databases and embedding-based retrieval systems.
• Strong awareness of emerging attack vectors, including prompt injection, adversarial inputs, and model exploitation techniques.
• Proven ability to lead and scale high-performing teams while delivering under ambiguity and tight timelines.
• Proficiency in Python and modern ML frameworks (e.g., PyTorch).
• Proven ability to engage with customers and external stakeholders, clearly explaining complex AI systems, trade-offs, and outcomes to both technical and non-technical audiences.
Preferred:
• MS/PhD preferred in Computer Science, Electrical Engineering, Machine Learning, or a related field.
• Experience representing organizations in customer-facing discussions, executive briefings, or public speaking engagements is strongly preferred.
Company:
Socure is a predictive analytics platform for digital identity verification of consumers. Founded in 2012, the company is headquartered in Incline Village, USA, with a team of 501-1000 employees. The company is currently Late Stage.