Post Doctoral Associate at University of Pittsburgh in Pittsburgh, Pennsylvania

Job Description:

Post Doctoral Associate
SHRS-Rehab Sci & Tech - Pennsylvania-Pittsburgh - (24008232)

Duties / Responsibilities

• Lead research projects focused on applying advanced machine learning techniques and statistical models to analyze accelerometer data to uncover patterns and trends related to energy expenditure, physical activity intensity, and obesity in children with disabilities.
• Conduct comprehensive needs assessments to identify challenges and opportunities in wearable technology use among individuals with disabilities. Collaborate with key stakeholders— including individuals with disabilities, caregivers, clinicians, and researchers — to understand real-world barriers and facilitate the adoption of wearable tech applications for individuals with disabilities.
• Engage in interdisciplinary research collaboration with other scientists, engineers, and healthcare professionals to ensure that the solutions developed are both technically robust and aligned with the specific needs and preferences of end-users.
• Publish research findings in peer-reviewed journals and present at academic conferences, contributing to the broader body of knowledge in wearable data analysis and modeling for individuals with disabilities.
• Mentor graduate students and research assistants, providing guidance on project design, data analysis, and dissemination of results while fostering an inclusive and collaborative research environment.
• Assist with grant writing, project reporting, and documentation, including contributing to the development of research proposals, drafting sections related to methodology, impact, and innovation, and compiling supporting data. Assist in preparing progress reports, final reports, and other documentation required by funding agencies, ensuring timely submission and adherence to grant guidelines. Additionally, helps identify new funding opportunities and contribute to the strategic planning of future research projects.
• Stay updated on emerging trends in wearable technology, AI, and assistive devices, and apply this knowledge to advance the research and development efforts within the lab.

Required qualification  

• PhD or equivalent degree in the field of health sciences or a related field, with a strong preference for expertise in wearable data analysis and machine learning techniques.
• Demonstrated experience conducting research in assistive technology or related fields aimed at improving accessibility and quality of life for individuals with disabilities. 
• Proven track record of preparing manuscripts for publication in peer-reviewed journals, with an understanding of the publication process.
• Strong ability to prepare and contribute to research reports, including progress reports and grant-related documentation.
• Effective written and verbal communication skills in English, with the ability to deliver compelling presentations and clearly articulate research findings.
• Demonstrated leadership, flexibility, and initiative, with the ability to work independently and collaboratively within an interdisciplinary research team.

Apply at join.pitt.edu requisition #24008232.

The University of Pittsburgh is committed to championing all aspects of diversity, equity, inclusion, and accessibility within our community. This commitment is a fundamental value of the University and is crucial in helping us advance our mission, which includes attracting and retaining diverse workforces. We will continue to create and maintain an environment that allows individuals to discover, belong, contribute, and grow, while honoring the experiences, perspectives, and unique identities of all.

The University of Pittsburgh is an Affirmative Action/Equal Opportunity Employer and values equality of opportunity, human dignity and diversity. EOE, including disability/vets.

Assignment Category: Full-time regular
Campus: Pittsburgh
Required Attachments: Curriculum Vitae
Optional Attachments: Cover Letter

Assignment Category Full-time regular

PI253953356

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