GENERAL SUMMARY
We are seeking a new Post-Doctoral fellow to work in the Max Näder Lab for Rehabilitation Technologies and Outcomes Research housed in the Center of Bionic Medicine located downtown Chicago at the Shirley Ryan AbilityLab. The Post-Doc Fellow will use data from wearable sensors/technologies, paired with advanced signal processing and machine learning techniques to make clinical predictions and diagnostic tools related to disease progression/recovery and risk of falling. The position is supported by NIDILRR, Michael J. Fox Foundation and private funds provided by the Shirley Ryan AbilityLab.
A successful candidate should have a background in engineering, with knowledge or interest in biomedical applications and data science. Strong computational skills are required, with proficiency in MATLAB or Python. A moderate level of independence will be expected, including the ability to mentor undergraduate and graduate students. Previous experience analyzing physiological sensor-based data (such as from accelerometers, gyroscopes, EMG, or ECG) is preferred.
The Post-Doc Fellow will consistently demonstrate support of the Shirley Ryan AbilityLab statement of Vision, Mission and Core Values by striving for excellence, contributing to the team efforts and showing respect and compassion for patients and their families, fellow employees, and all others with whom there is contact at or in the interest of the institute.
The Post-Doc Fellow will demonstrate Shirley Ryan AbilityLab Core Attributes: Communication, Accountability, Flexibility/Adaptability, Judgment/Problem Solving, Customer Service and Shirley Ryan AbilityLab Values (Hope, Compassion, Discovery, Collaboration, & Commitment to Excellence) while fulfilling job duties.
Principal Responsibilities
THE POST-DOC FELLOW, CENTER FOR BIONIC MEDICINE WILL:
REPORTING RELATIONSHIPS
KNOWLEDGE, SKILLS & ABILITIES REQUIRED
WORKING CONDITIONS
SRAlab is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
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Required Skills Required Experience