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Human Performance Phd Jobs in Arizona (NOW HIRING)

Waabi

Safety Engineer, Collision Risk

Phoenix, AZ · On-site +1

$126K/yr

... iterate on human performance benchmarks to support robust comparative safety assessments ... Masters or PhD within an engineering discipline preferred. - 3+ years of automotive, robotics or ...

Deloitte

AI Engineer Consultant

Tempe, AZ · Hybrid

... MS/PhD) and/or relevant certifications (cloud and AI/ML). * 2+ years of experience with Human ... performance. Deloitte is committed to providing reasonable accommodations for people with ...

Amat

Application Engineer III - EBeam

Phoenix, AZ

$108K - $148K/yr

Define and implement application support strategies for system installation and performance ... Bachelor's degree in Physics or Electrical Engineering required; advanced degree (Master's or PhD ...

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Human Performance Phd information

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 university professors, sports performance specialists, ergonomists, or in applied research roles, utilizing skills in data analysis, physiology, and biomechanics. Certification and experience in related tools or methodologies can enhance employment opportunities.

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 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 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 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 are popular job titles related to Human Performance Phd jobs in Arizona? For Human Performance Phd jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Human Performance Phd jobs in Arizona look for? The top searched job categories for Human Performance Phd jobs in Arizona are:
What cities in Arizona are hiring for Human Performance Phd jobs? Cities in Arizona with the most Human Performance Phd job openings:
Human Performance Phd jobs near you
Infographic showing various Human Performance Phd job openings in Arizona as of August 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 93% In-person, and 7% Remote job distribution.

Safety Engineer, Collision Risk

Waabi

Phoenix, AZ • On-site, Remote

$126K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 21 days ago

Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai


At the heart of our mission is an unwavering commitment to safety. We are seeking a passionate and experienced safety or systems engineer to spearhead the development and implementation of critical safety framework methods that underpin our driverless autonomy readiness decisions. This is a unique opportunity to shape how Waabi quantitatively ensures and validates the safety of our autonomous trucking solution, working with our highly realistic simulator, real-world data, and cutting-edge generative AI techniques. You will play a pivotal role in creating the evidence for safe operation and leading efforts in a rapidly evolving and groundbreaking field.
 
 
You will...
- Scale safety framework methods by defining requirements for automated assessment workflows and partnering with the autonomy and algorithms teams to implement and debug the evaluation infrastructure.
- Develop and monitor quantitative metrics to evaluate system performance against established safety targets.
- Optimize test coverage within Waabi's high-fidelity simulator to validate driving behaviors across safety-critical scenarios.
- Define and iterate on human performance benchmarks to support robust comparative safety assessments.
- Identify safety gaps and ensure traceability between requirements, validation artifacts, and safety case claims.
- Maintain structured documentation of safety artifacts and readiness decisions to ensure rigorous transparency and traceability.
 
Qualifications:
- Undergrad required; Masters or PhD within an engineering discipline preferred.
- 3+ years of automotive, robotics or related industry experience.
- Experience contributing to the development of a safety case for autonomous vehicles.
- Experience with using simulation and real-world testing to make readiness decisions.
- Knowledge of relevant safety methods and standards such as STPA, SOTIF (ISO 21448), ISO/SAE PAS 22736, and UL 4600.
- Strong fundamentals in mathematics, engineering and physics.
- Excellent scripting and data analysis skills with tools such as Python and SQL.
- Ability to communicate complex concepts or data in a simple-yet-accurate manner.
- Collaborative team player who works effectively across functional boundaries.
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
 
Bonus/nice to have:
- Experience in launching a driverless product.
- Experience in data science and machine learning
- Experience implementing software systems components.
- Advanced skills in data mining, mathematics, and statistical analysis.
 
The US yearly salary range for this role is: $126,225 - 163,00 USD and the Canada salary range for this role is: $154,000 - $188,500 CAD in addition to competitive perks & benefits. Waabi US Inc. and Waabi Canada Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US and Canada locations.  Note: The Company provides additional compensation for employees in this role, including discretionary equity incentive awards and discretionary annual performance bonus.

Perks/Benefits:
Waabi provides a competitive benefits package that includes:
- Competitive compensation and equity awards.
- Health and Wellness benefits that include Medical, Vision and Dental coverage.
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events.
- As we grow, this list continues to evolve! 
 
Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
 
Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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