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Post Doctoral Researcher (Soft Robotic Control and Machine Learning) (S04042P)
Job Description
Position Information
| Posting Number | S04042P |
|---|---|
| Position Title | Post Doctoral Researcher (Soft Robotic Control and Machine Learning) (S04042P) |
| Department | UTA Research Institute |
| Location | Ft. Worth |
| Job Family | Research |
| Position Status | Full-time |
| Work Hours | Standard |
| Work Schedule | Monday-Friday; 8:00am-5:00pm. |
| Open to | External and Internal |
| FLSA | |
| Salary | Salary is commensurate based on qualifications and relevant experience. |
| Duration | Funding expected to continue |
| Pay Basis | Monthly |
| Benefits Eligible | Yes |
| Job Summary | The University of Texas at Arlington Research Institute (UTARI) is seeking a postdoctoral researcher to join our team in the Biomedical Technologies Division. In this role, you will assist with research and development projects and technology commercialization in the areas of rehabilitation, preventative care, and wound healing. You will have opportunity to direct students and work as a member in a team of research scientists. You will also assist in establishing and developing collaborative partnerships, grant and proposal writing, and contributing to patent applications. |
| Essential Duties and Responsibilities | We are looking for candidate with expertise in control system implementations for biomedical devices. You should have expertise and experience in at least two of the following areas:
General Requirements:
|
| Required Qualifications | PhD in Electrical/Electronic, Mechanical, Computer, or other relevant Engineering with relevant expertise in control system implementations. |
| Preferred Qualifications | PhD in Electrical/Electronic, Mechanical, or Computer Engineering with 1+ Years Experience in Control System Implementation. |
| Working Conditions | May work around standard office conditions |
| Special Conditions for Eligibility | KNOWLEDGE, SKILLS AND ABILITIES: Experience in the design and implementation of closed loop control systems for biomedical devices Expertise in control of soft robotics, wearable exoskeletons Experience with human motion analysis, machine learning techniques Experience in designing, setting up, and conducting control system testing. Experience in using data collection and analysis to evaluate device performance. Python, Gtk3, C++, Embedded Programming (Arduino, UART, SPI, I2C, CAN, Bluetooth, Wifi), MATLAB, EagleCAD, nodeJS, SolidWorks, Git. |
| Working Title | |
| EEO Statement | UTA is an Equal Opportunity/Affirmative Action institution. Minorities, women, veterans and persons with disabilities are encouraged to apply. Additionally, the University prohibits discrimination in employment on the basis of sexual orientation. A criminal background check will be conducted on finalists. The UTA is a tobacco free campus. |
Posting Detail Information
| Number of Vacancies | 1 |
|---|---|
| Desired Start Date | |
| Open Date | |
| Review Start Date | |
| Open Until Filled | |
| Minimum Number of References Required | 3 |
| Maximum Number of References Accepted | |
| Special Instructions to Applicants |
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