Position Purpose:
Candidate will assist supervisor in developing innovative approaches for human performance analysis and outcome evaluation based on wearable sensors technology and biomechanical models of the human body. Individual will also be responsible for assisting faculties at the University of Arizona, interdisciplinary Consortium for Advanced Motion Performance (iCAMP) with the preparation of medical/health grant applications to federal and not for profit agencies. Additionally the candidate will assist with collection of clinical and investigational human performance assessments within iCAMP.
Essential Duties and Responsibilities:
Assist with development of new techniques for assessing human performance via body worn sensors. Conduct human performance assessments within laboratory and or clinical affiliations.
Required Education and Experience:
PhD in biomedical engineering, mechanical engineering, electrical engineering, computer science, kinesiology or related field before job starts.
Required Knowledge, Skills and Abilities
• Demonstrated knowledge, skills and experience in signal processing and programming
• Excellent record of publications in top-tier archival journals
• Excellent verbal and written communication skills
• Ability to work independently and as part of a team
• Ability to communicate with a range of personnel from both industrial and research environments
• Project management skills, including the ability to manage competing priorities and excellent time management skills
• Experience in using Matlab.
• Ability to collect and analyze data
• Ability to work productively with diverse populations; show respect and sensitivity for cultural differences
• Ability to travel including international travel.
Preferred Knowledge, Skills and Abilities
• Knowledge, skills and experience in general biomechanics of human musculoskeletal system
• Experience in developing and using computer models to study human movement
• Knowledge and experience related to the biomechanics of human gait and human postural control system
• Experience in programming in LabVIEW
• Experience in developing body fixed sensor based on MEMS technology
Typical Physical Demand and Working Conditions
Selected candidate must possess the mental and physical capability to perform the essential functions of the position with or without reasonable accommodations. Work environment is typical office, clinic and gait laboratory. Work is of light physical demand with duties performed while sitting, standing or occasionally stooping with some movement and lifting of boxes with consumables. Position requires sitting at a desk for prolonged periods of time. Position requires ability to travel including international travel.
Application Procedures:
To apply for this position, email your cover letter, resume or curriculum vitae that includes contact information of three professional references to bnajafi@surgery.arizona.edu. The title (Postdoctoral Fellow) must be indicated in the “subject” line.
Candidate will assist supervisor in developing innovative approaches for human performance analysis and outcome evaluation based on wearable sensors technology and biomechanical models of the human body. Individual will also be responsible for assisting faculties at the University of Arizona, interdisciplinary Consortium for Advanced Motion Performance (iCAMP) with the preparation of medical/health grant applications to federal and not for profit agencies. Additionally the candidate will assist with collection of clinical and investigational human performance assessments within iCAMP.
Essential Duties and Responsibilities:
Assist with development of new techniques for assessing human performance via body worn sensors. Conduct human performance assessments within laboratory and or clinical affiliations.
Required Education and Experience:
PhD in biomedical engineering, mechanical engineering, electrical engineering, computer science, kinesiology or related field before job starts.
Required Knowledge, Skills and Abilities
• Demonstrated knowledge, skills and experience in signal processing and programming
• Excellent record of publications in top-tier archival journals
• Excellent verbal and written communication skills
• Ability to work independently and as part of a team
• Ability to communicate with a range of personnel from both industrial and research environments
• Project management skills, including the ability to manage competing priorities and excellent time management skills
• Experience in using Matlab.
• Ability to collect and analyze data
• Ability to work productively with diverse populations; show respect and sensitivity for cultural differences
• Ability to travel including international travel.
Preferred Knowledge, Skills and Abilities
• Knowledge, skills and experience in general biomechanics of human musculoskeletal system
• Experience in developing and using computer models to study human movement
• Knowledge and experience related to the biomechanics of human gait and human postural control system
• Experience in programming in LabVIEW
• Experience in developing body fixed sensor based on MEMS technology
Typical Physical Demand and Working Conditions
Selected candidate must possess the mental and physical capability to perform the essential functions of the position with or without reasonable accommodations. Work environment is typical office, clinic and gait laboratory. Work is of light physical demand with duties performed while sitting, standing or occasionally stooping with some movement and lifting of boxes with consumables. Position requires sitting at a desk for prolonged periods of time. Position requires ability to travel including international travel.
Application Procedures:
To apply for this position, email your cover letter, resume or curriculum vitae that includes contact information of three professional references to bnajafi@surgery.arizona.edu. The title (Postdoctoral Fellow) must be indicated in the “subject” line.