The EPIC lab at Georgia Tech, led by Dr. Aaron Young, invites applications for three open positions: (1) a post-doctoral fellow, (2) a full-time research engineer, and (3) a lab technician. The EPIC lab is a multi-disciplinary group of scientists, engineers and clinicians that specialize in enhancing the ‘real-world’ capability of wearable robotic systems. Our group focuses on clinical translation of best-in-class control systems for lower-limb prostheses and exoskeletons to improve mobility for individuals with stroke, TBI, or limb amputation. By leveraging AI and ML tools we focus on customizing assistance to each individual user across broad, real-world use cases. The lab is located in the heart of Georgia Tech’s main campus in midtown Atlanta and has a large facility for collecting advanced biomechanical and clinical outcome measures and collaborates closely with clinical partners at Emory, Children’s Hospital of Atlanta and the VA System.
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Note for prospective MS and PhD students:
We are still going through regular annual recruitment for new graduate students, though those openings are not formally listed below.
Description: The post-doctoral fellow will be expected to develop a portfolio of independent research projects in line with our lab’s objectives. Key areas of focus will include developing and optimizing novel control policies for wearable robots using- AI, such as deep learning / reinforcement learning to improve mobility for patient populations (e.g., individuals with stroke or amputation). The post-doctoral fellow will also mentor junior graduate and undergraduate students on various projects in the lab. Conceptual design and implementation of hypothesis-driven research on performance of human participants walking with wearable robots will be emphasized in the post-doctoral training plan. The post-doctoral fellow will have opportunity to professional develop in other areas such as grant writing and teaching depending on their professional interests.
Requirements: The post-doctoral fellow must have a PhD degree in mechanical engineering, electrical engineering, robotics or biomedical engineering (or a related discipline, such as bioengineering). The candidate should bring expertise and background knowledge in areas that are relevant for the position, such as mechatronic design, AI/ML, wearable robotics, experiments with human participants, biomechanics and/or robotic control systems.
The successful candidate should have some of the following skills and a strong willingness to develop further throughout their training time at GaTech:
- Ability to mentor teams of junior students
- Good communication and project management skills
- A strong publication track record
- Evidence of ability to pursue an independent scientific trajectory including knowledge of the scientific literature, providing rationale for testable hypotheses, experimental design and statistics
- Strong programming skills (e.g., Python and Matlab in the lab)
- Classroom level familiarity with AI concepts, such as deep learning and/or reinforcement learning / optimization
- Hands-on mechatronic skills
Logistics: Starting salary will be set according to the current NIH guidelines based on experience. The initial appointment will be made for 1 year, with additional years possible following a positive annual review.