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Movement Science Phd Jobs in Virginia (NOW HIRING)

... PhD in Computer Science or other relevant technical discipline with two (2) years of relevant work experience. -Movement between buildings within the SEI and CMU community required. Willingness to ...

Cloud/Computing Engineer

Herndon, VA · On-site

$57.25 - $76.50/hr

... movement techniques including bulk application transfers into the cloud. • Identify top ... Preferred : • Active TS/SCI with Poly clearances. • Degree(s) in Computer Science, Engineering ...

Cloud/Computing Engineer

Herndon, VA · On-site

$135K - $216K/yr

Offer guidance in infrastructure movement techniques including bulk application transfers into the ... Knowledge of a variety of advanced computer science and mathematical concepts, practices, and ...

Cloud/Computing Engineer

Herndon, VA · On-site

$135K - $216K/yr

Offer guidance in infrastructure movement techniques including bulk application transfers into the ... Knowledge of a variety of advanced computer science and mathematical concepts, practices, and ...

Offer guidance in infrastructure movement techniques including bulk application transfers into the ... Knowledge of a variety of advanced computer science and mathematical concepts, practices, and ...

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Showing results 1-20

Movement Science Phd information

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

To thrive as a Movement Science PhD, you need advanced knowledge of human biomechanics, physiology, and research methodologies, typically evidenced by a doctoral degree in movement science or a related field. Proficiency with motion analysis software, statistical analysis programs (such as SPSS or R), and laboratory equipment is commonly required. Strong analytical thinking, collaboration, and scientific communication skills set top candidates apart. These skills and qualities are crucial for conducting impactful research, advancing scientific understanding, and contributing to interdisciplinary teams in clinical, academic, or industry settings.

What are some typical research collaborations for someone with a movement science PhD, and how do these partnerships enhance career growth?

Professionals with a Movement Science PhD often collaborate with experts in fields such as physical therapy, biomedical engineering, sports science, and neurology. These interdisciplinary partnerships are common in both academic and industry settings, allowing researchers to contribute to projects on injury prevention, rehabilitation, or performance optimization. Such collaborations not only broaden one's research impact but also foster networking and skill development, which are crucial for career advancement into roles like principal investigator, research director, or consultant.

What is a movement science PhD?

A Movement Science PhD is a doctoral degree focused on the study of human movement, including biomechanics, motor control, exercise physiology, and related fields. Individuals with this degree often engage in research to understand how the body moves and how movement affects health and performance. Graduates can work in academia, healthcare, sports science, or rehabilitation, developing new insights and interventions to improve physical function and health.

What is the difference between Movement Science Phd vs Physical Therapist?

AspectMovement Science PhdPhysical Therapist
Required CredentialsPhD in Movement Science, research experienceDoctor of Physical Therapy (DPT), licensure
Work EnvironmentResearch labs, academia, healthcare settingsClinics, hospitals, outpatient facilities
Industry UsageResearch, academia, sports sciencePatient care, rehabilitation

While both Movement Science Phds and Physical Therapists work in health-related fields, the Movement Science Phd focuses on research and advancing knowledge in movement and biomechanics, often in academic or research settings. Physical Therapists primarily provide patient care and rehabilitation services. The credentials differ, with the Phd emphasizing research expertise and the DPT emphasizing clinical practice.

What are popular job titles related to Movement Science Phd jobs in Virginia? For Movement Science Phd jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Movement Science Phd jobs in Virginia look for? The top searched job categories for Movement Science Phd jobs in Virginia are:
What cities in Virginia are hiring for Movement Science Phd jobs? Cities in Virginia with the most Movement Science Phd job openings:
Infographic showing various Movement Science Phd job openings in Virginia as of June 2026, with employment types broken down into 1% As Needed, 84% Full Time, 7% Part Time, 1% Temporary, and 7% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Senior Machine Learning Research Scientist - Secure AI Lab

Cmu

Arlington, VA

$105K - $143K/yr

Full-time

Re-posted 21 days ago


Job description

At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of AI technologies and systems. We currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security.

As our government customers adopt AI and machine learning toprovideleap-ahead mission capabilities, we

  • build real-world, mission-scale AI capabilities through solving practical engineering problems

  • discover and define the processes, practices, and tools to support operationalizing AI for robust, secure, scalable, and human-centered mission capabilities

  • prepare our customers to be ready for the unique challenges of adopting, deploying, using, andmaintainingAI capabilities

  • identifyand investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscape

Are you creative, curious, energetic, collaborative, technology-focused, and hard-working? Are you interested in making a difference by bringing innovation to government organizations and beyond? Apply to join our team.

Overview:As a Senior Machine LearningResearch Scientist,you will specialize inconductingresearch into the vulnerabilities of AIandML algorithms and securing against those vulnerabilities.

TheSecure AILab within the SEI's AI Division focuses on improving the security and robustness of AI systems. As part of the world-class research community at Carnegie Mellon University, theSecure AILabconducts and appliescutting-edgeresearch toprotectAI systems fromadversaries who aim to manipulatethe systemto learn, do, or revealsomething itisn'tsupposed to.

TheSecure AILab consists of machine learning research scientists, machine learning engineers, and software developers who work together to solve problems in the following areas:

  • Counter AI Research:Study threat models targeting AIandML algorithms,understand the behaviors of AI algorithms,identifyweak points, and design novel ways to subvert AIandML systems.

  • AIandMLAlgorithm DefenseResearch:Createpractical mitigations and defenses forobservedattacksaffecting AIandML algorithmsand evaluate the effectiveness ofdefensivetechniques.

  • AppliedAdversarial Machine Learning:Advance the state of the art inadversarialmachinelearningby developing and transitioning capabilities to government sponsors.

Your day-to-day research tasks will include:

  • Identifyingandinvestigatingemerging AI and AI-adjacent technologies.

  • Performing andpublishingimpactful original research in the field ofAIandML algorithm vulnerabilities and securing against those vulnerabilities.

  • Adapting andapplyingexisting research in the field to solve real-world problems.

  • Transitioning andprovidingguidanceonAI capabilities to government sponsors.

Duties:

  • Hands-on research:You'llconduct and lead novel research in applied machine learning and artificial intelligence.

  • Solution development:You'llwork with and lead interdisciplinary teams to turn research results into prototype operational capabilities for government customers and stakeholders.

  • Strategy:You'llwork withthe leadership teamand colleagues to plan, develop, and carry out an overall research strategy, and to influence the national research agendaregardingfuture technology.

  • Collaboration:You'llactivelyparticipateon teams of software developers, researchers, designers, and technical leads.You'llbuild relationships and collaborate with researchers, government customers, and other stakeholders to understand challenges, needs,possible solutions, and research directions.

  • Mentoring:You'llcontribute to improving the overall technical capabilities of the Divisionby mentoring and teaching others,participatingin design (software and otherwise) sessions, and sharing insights and wisdom across the SEIAIDivision.

Knowledge andExperience

  • Comprehensiveknowledge ofmachine learning;previousexperiencein adversarial machine learningpreferredbut notrequired

  • A track recordofconducting research and applying scientific methodsto solvedifficult problems

  • Experienceleadingresearchprojectsinnovelareaswith limitedpreviouswork to build upon

  • Abilityto work with leadership to plan, develop, anddeliveran overallresearchstrategy

  • Strong written and verbal communication skills;abilityto convey complex technical ideasinalayperson's terms

  • Proficiencyinwritingfunding proposalsorpitchingideas fornew researchprojects

  • Ampleexperience with publishingwritten or technicalartifactsshowcasingyour work

  • Strong collaboration skills forworkingwith colleagues and sponsors

  • Willingnesstoguide andmentorjunior team members

Requirements

  • A bachelor's degree in computer science, statistics, machine learning, electrical engineering, or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years of experience; OR PhD with five (5) years of experience

  • Willingness to work onsite at an SEI facility 5 days per week.

  • Be able to obtain andmaintainan active Department of War security clearance.

  • Willing to travel up to 25% of the time to locations outside of your home location. Travel sites include SEI offices in Pittsburgh and Washington, D.C., sponsor sites, and conferences.

Location

Arlington, VA, Pittsburgh, PA

Job Function

Software/Applications Development/Engineering

Position Type

Staff - Regular

Full time/Part time

Full time

Pay Basis

SalaryMore Information:
  • Please visit "Why Carnegie Mellon" to learn more about becoming part of an institution inspiring innovations that change the world.

  • Click here to view a listing of employee benefits

  • Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.

  • Statement of Assurance


CMU logo

About CMU

Sourced by ZipRecruiter

Industry

Offices of mental health practitioners

Company size

201 - 500 Employees

Headquarters location

Harrisburg, PA, US