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Phd In Exercise Science Jobs in Toronto, ON (NOW HIRING)

MS or PhD in a science or engineering field. * Experience in building and maintaining scalable, big data applications in a cloud environment.

AI Assessment Specialist - PhD

Toronto, ON ยท On-site +1

CA$66 - CA$84/hr

PhD or doctoral candidate in Computer Science , Electrical Engineering , or a closely related field ... Master's degree considered for candidates with exceptional depth in a specific subdomain. * Strong ...

New

Research Scientist

Mississauga, ON ยท On-site

CA$75K - CA$110K/yr

PhD in Physics/Electrical Engineering/Materials Science & Engineering * Required Skills * Proven track record (4+ years) in characterization and development of advanced semiconductor devices ...

Qualifications: - Pursuing PhD degree in Computer Science, Engineering, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. - Demonstrated research/software ...

Research Scientist, Simulation Agents

Toronto, ON ยท On-site +1

CA$158K - CA$269K/yr

Qualifications: - Masters/PhD in machine learning, computer science, engineering, or a related field. - Strong background in imitation learning and/or reinforcement learning. - Publications in top ...

Showing results 21-40

Phd In Exercise Science information

What is a PhD in Exercise Science?

A PhD in Exercise Science is the highest academic degree focused on the scientific study of physical activity, exercise, and their impact on health, performance, and disease prevention. This program typically involves advanced coursework, research, and a dissertation, preparing graduates for careers in academia, research, clinical settings, or leadership roles in health and fitness industries. Students often specialize in areas like physiology, biomechanics, nutrition, or public health. The degree emphasizes both theoretical knowledge and practical application, equipping graduates to contribute new knowledge to the field.

What are the key skills and qualifications needed to thrive as a PhD in Exercise Science?

To thrive as a PhD in Exercise Science, you need advanced knowledge of physiology, biomechanics, and research methodologies, typically supported by a doctoral degree in exercise science or a related field. Proficiency in statistical analysis software (such as SPSS or R), laboratory equipment, and research design tools is essential. Strong communication, critical thinking, and project management skills distinguish top professionals in this field. These competencies are crucial for conducting impactful research, publishing findings, and advancing knowledge in exercise science.

What types of interdisciplinary collaboration can I expect as a PhD in Exercise Science?

As a PhD in Exercise Science, you will frequently collaborate with professionals across diverse fields, such as physical therapy, nutrition, public health, biomechanics, and even psychology. These collaborations are common in both academic research and applied settings, such as hospitals, sports organizations, or corporate wellness programs. Working on multidisciplinary teams allows you to contribute your expertise while gaining insights from other disciplines, leading to more comprehensive research and impactful interventions. This environment also offers rich opportunities for networking and career growth.

What is the difference between Phd In Exercise Science vs Exercise Physiologist?

AspectPhd In Exercise ScienceExercise Physiologist
Required CredentialsDoctorate degree (PhD), research experienceBachelor's or Master's degree, certification (e.g., ACSM)
Work EnvironmentResearch labs, academia, healthcare researchClinics, fitness centers, hospitals
Employer & Industry UsageUniversities, research institutions, healthcare organizationsRehabilitation centers, sports teams, wellness facilities
Common Search & Comparison IntentAcademic/research careers, advanced roles in exercise scienceClinical practice, fitness, rehabilitation

The main difference between a Phd In Exercise Science and an Exercise Physiologist lies in their focus and career paths. A PhD is research-oriented, often leading to academic or scientific roles, while an Exercise Physiologist works directly with clients in clinical or fitness settings. Both roles require knowledge of exercise science, but their work environments and career goals differ significantly.

Is it worth getting a PhD in exercise science?

A PhD in exercise science prepares individuals for research, academia, and advanced clinical roles, often requiring strong analytical skills and knowledge of physiology and biomechanics. It can lead to higher-level positions and increased earning potential but involves significant time and financial investment. Career advancement depends on the individual's goals and the demand for expertise in the field.

What can I do with a PhD in exercise science?

A PhD in exercise science prepares individuals for careers in research, academia, and advanced clinical roles such as sports performance specialist or exercise physiologist. Graduates often work in universities, research institutions, healthcare settings, or sports organizations, utilizing skills in data analysis, program development, and scientific communication.

What are popular job titles related to Phd In Exercise Science jobs in Toronto, ON?

For Phd In Exercise Science jobs in Toronto, ON, the most frequently searched job titles are:

Infographic showing various Phd In Exercise Science job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 75% Physical, 6% Hybrid, and 19% Remote job distribution.

Staff AI Engineer

Sonatus

Toronto, ON โ€ข On-site

Full-time

Posted 27 days ago


Job description

Role Summary:
  • Sonatus is seeking a highly motivatedย Staff AI Engineerย to define and develop next-generationย agentic AI applicationsย for software-defined vehicles. You will be critical in accelerating software innovations that solve complex, real-world customer problems.
Responsibilities:
  • Lead the architecture and development of end-to-end software solutions leveraging agentic AI (e.g., LLMs, agent frameworks, RAG, context engineering, and evaluation).
  • Design and implement robust data orchestration and processing pipelines for continuous agent operations and performance improvement.
  • Translate complex customer problems and business requirements into effective, deployable AI solutions.
Requirements:
  • Proven experience in designing and deploying end-to-end agentic AI systems in a production environment.
  • In-depth knowledge of current agentic AI technologies and a strong software development background.
  • Expertise in building high-performance AI applications that integrate a multitude of data sources.
  • Excellent problem-solving, system design skills, and the ability to drive technical alignment across teams.
  • MS or PhD in a science or engineering field.
  • Experience in building and maintaining scalable, big data applications in a cloud environment.