Job Summary
The Research Scientist will contribute to research and development projects focusing on the control implementation of biomedical devices and systems for rehabilitation preventative care wound healing and adaptive exercise. The Research Scientist will be involved in designing developing and testing new technologies leading or supporting grant opportunities writing proposals fostering collaborations and directing teams of students and/or junior researchers. Additionally the Research Scientist will contribute to patentable ideas and manage a dynamic mix of lab work and project management tasks. We are looking for a dedicated professional ready to make significant contributions to our innovative research initiatives and help shape the future of technology.
Essential Duties And Responsibilities
Design simulate and implement advanced control algorithms (e.g. PID adaptive model predictive control. Etc.) for biomedical devices and systems. Create intuitive and accessible user interfaces for device interaction tailored to end-users including patients clinicians and researchers using platforms such as LabVIEW MATLAB or embedded systems. Collect process and analyze experimental data using tools such as MATLAB Python or R to evaluate system performance and inform iterative design improvements. Support building and refining hardware/software prototypes integrating sensors actuators and microcontrollers. Identify funding opportunities and contribute to or lead writing efforts (proposals publications reports presentations etc.). Participate in developing academic and industry collaborations. Document work / keep accurate records. Present findings/results through both oral and written communication to internal and external customers. Perform in a dynamic environment requiring multitasking working collaboratively in interdisciplinary teams and conducting some work on projects independently. Maintain awareness of current technological advancements related to their field of expertise. Work with other units within UTARI and UTA as needed. Supervise students and/or junior staff.
Minimum Qualifications
This position is open to candidates with varying levels of expertise. We will consider candidates at different levels of experience and expertise but they must meet one of the qualifications below to be considered. Candidates should clearly indicate which position they are applying for. Expertise in control system design and implementation specifically applied to biomedical devices. Candidates should have expertise and experience in at least two (2) of the following areas: (1) Experience designing and implementing control strategies for compliant flexible robotic systems and exoskeletons used in biomedical applications such as preventative care devices assistive devices and rehabilitation tools OR (2) Familiarity with supervised and unsupervised learning methods for biomedical signal processing user intent recognition or adaptive control OR (3) Proficiency in programming languages and environments relevant to control systems and biomedical engineering. Research Scientist II Minimum Qualifications: PhD in Electrical/Electronic Mechanical or Computer Engineering with relevant expertise. Research Scientist III Minimum Qualifications: PhD in Electrical/Electronic Mechanical or Computer Engineering plus two (2) years of relevant experience in control system implementations. Experience in seeking external funding from relevant funding agencies and grant writing. Notable publication record in peer-reviewed journals. Proven leadership and project management skills. Demonstrated ability to work independently and as part of a team. Senior Research Scientist- Minimum Qualifications: PhD in Electrical/Electronic Mechanical or Computer Engineering plus five (5) years of relevant experience in control system implementations. Proven track record of securing research funding and grants from relevant funding agencies. Extensive publication record in peer-reviewed journals. Proven leadership and project management skills. Demonstrated ability to work independently and as part of a team.
Preferred Qualifications
Demonstrated experience in the design simulation and implementation of closed-loop control systems for biomedical devices. Experience applying machine learning techniques to biomedical data such as classification of movement patterns user intent prediction or image analysis. Experience in: Programming Languages: Python C nodeJS Embedded Systems: Arduino UART SPI I2C CAN Bluetooth Wi-Fi Software Tools: MATLAB Gtk3 EagleCAD SolidWorks Git etc. Experience with GUI development and real-time data visualization. Experience in preparation of competitive research proposals. Experience working in multidisciplinary teams involving engineers clinicians and researchers. Experience in proposal writing.
Work Schedule
Monday-Friday; 8:00am-5:00pm
Required Experience:
Senior IC