美国德克萨斯大学阿灵顿分校博士后—软机器人控制与机器学习

美国德克萨斯大学阿灵顿分校博士后—软机器人控制与机器学习

得克萨斯大学阿灵顿分校（UTA或UT Arlington）是一所位于美国得克萨斯州阿灵顿的公立研究型大学，位于达拉斯和沃思堡之间的中心地带。 2018年春季校园入学人数为42927人，是得克萨斯州北部最大的大学，得克萨斯大学系统中的第二大，得克萨斯州的第四大。 UT阿灵顿培养出了得克萨斯州数量第三大的毕业生，并提供180多个学士学位，硕士学位和博士学位课程。

Post Doctoral Researcher (Soft Robotic Control and Machine Learning) (S04042P)

University of Texas at Arlington

Post Doctoral Researcher (Soft Robotic Control and Machine Learning)

(S04042P)

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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:

Control of soft robotics.

Control of wearable exoskeletons.

Human motion analysis.

Machine learning techniques.

Programming (Python, Gtk3, C++, MATLAB), embedded system programming (Arduino, UART, SPI, I2C, CAN, Bluetooth, Wifi) and software (EagleCAD, SolidWorks, Git).

General Requirements:

Perform job duties under direct supervision

Document work / keep accurate records

Present findings/results through both oral and written communication to internal and external customers

Able to multi-task, collaboratively work in interdisciplinary teams, work on projects independently

Maintain awareness of current technological advancements related to your field

Work with other units within UTARI and UTA as needed

Develop hardware, control schemes, and user interfaces for biomedical devices.

Design and implement closed loop control systems for biomedical devices and system prototypes, setup test equipment, and evaluate the control algorithms using data collection and analysis.

Identify relevant funding opportunities; contribute to or lead writing efforts (proposals, publications, reports, presentations, etc.)

Supervise students and interns

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

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