[IISE Faculty List] Entrepreneurial Postdoc Position at UConn ME and Percēv

[Hu, Chao]

Dear IEFac.list Coordinators,

Can you help forward the below postdoc position to the IEFac mailing list?

Thanks for your kind help.

Chao

---
Chao Hu, Ph.D.
Associate Professor
Department of Mechanical Engineering
University of Connecticut
Engineering II Building, Room 211
191 Auditorium Road, Unit 3139
Storrs, CT 06269 USA
Email: chao.hu at uconn.edu<mailto:chao.hu at uconn.edu> | Phone: +1-860-486-2371
Website: https://chaohulab.engr.uconn.edu/

-----
Entrepreneurial Postdoctoral Research Associate in Deep Learning and Explainable AI for IIoT-Based Predictive Maintenance
Applications are invited for one entrepreneurial postdoctoral research position in the area of deep learning and explainable artificial intelligence (AI) for the Industrial Internet-of-Things (IIoT). This position is joint between the University of Connecticut and Percēv (an IIoT start-up and a subsidiary of Grace Technologies, www.percevx.ai<https://linkprotect.cudasvc.com/url?a=http%3a%2f%2fwww.percevx.ai%2f&c=E,1,IojitBXPrQKZIjOXFG8k-9u6hJBmFsHqHkC3FFZ30JL6L1TKQQW4jpwluIq5X9_zBr5SkaSboUJr1eeZucGLqy8EFy5MbyndNialsLLzYQ,,&typo=1>). The postdoc will be co-advised by Dr. Chao Hu, an Associate Professor of Mechanical Engineering at the University of Connecticut, and Dr. Andy Zimmerman, the CTO of Grace Technologies and the CTO and co-founder of Percēv. A successful applicant will play a central role in an NSF-funded research project on the design, development, and field validation of probabilistic and explainable deep learning methods for the predictive maintenance of industrial and agricultural equipment.

One unique attribute of this position is that this postdoctoral research associate will be deeply engaged in the process of translating this novel research into a commercially viable business opportunity. This process encompasses many elements essential to becoming a young entrepreneur, including field validation (working with 3+ potential customers), product design, IP portfolio design and protection, fundraising, and product/market analysis. The successful applicant will lead interactions between the University of Connecticut, Percēv, and outside industrial and commercial partners, including early-stage customers. Individuals who strongly desire to learn entrepreneurial skills or pursue an entrepreneurial career are encouraged to apply; however, prior experience in entrepreneurship is not required.

The duration of the position is expected to be one year and may be renewable based on performance and funding availability. The salary will be commensurate with experience, with an expected range of $65–90k annually.

Qualifications:
Candidates should have a recent Ph.D. in Data Science, Software Engineering, Mechanical Engineering, Industrial Engineering, Electrical Engineering, or a related discipline. Prior research experience in one or more of the following areas is desired:

  *   Algorithm development for machine learning and deep learning
  *   Hardware/software/firmware development for IoT devices
  *   Full-stack software development
  *   Implementation of deep learning algorithms in an embedded computing environment
  *   Algorithm development for fault diagnostics and failure prognostics
  *   Vibration analysis for diagnostics/prognostics of rotating machinery

Responsibilities:
The postdoc is expected to spend 50% of their time on technology development at the University of Connecticut and the other 50% supporting and leading commercialization activities at Percēv. The postdoc will attend the weekly individual and project team meetings, mentor at least two Ph.D. students at the University of Connecticut, and facilitate close collaborations with other universities and companies interested in explainable deep learning and low-cost, scalable IIoT platforms. The postdoc will publish their research findings in premier journals, present their research in high-impact conferences, and participate in proposal writing.

Applicant Information:
The position is available immediately. Applications will be processed as they arrive until the position is closed. Interested applicants should submit by email (1) a cover letter that summarizes prior research experience and (2) a CV to Dr. Chao Hu, chao.hu at uconn.edu<mailto:chao.hu at uconn.edu>, and Dr. Andy Zimmerman, andyz at percev.co<mailto:andyz at percev.co>.

The University of Connecticut is an equal employment opportunity/affirmative action employer. In order to ensure that employees and job applicants are not subjected to unlawful discrimination, it is the University’s policy to comply with all State and Federal laws and regulations that prohibit employment discrimination and mandate specific actions for the purpose of eliminating the present effects of past discrimination. Equal employment opportunity is the purpose and goal of affirmative action. The University has established equal employment opportunity and affirmative action as immediate and necessary objectives because we are committed to its concepts, principles, and goals. Inquiries can be directed to the Office of Institutional Equity, Wood Hall, First Floor, 241 Glenbrook Road, Storrs, Connecticut 06279, 860-486-2943, equity at uconn.edu<mailto:equity at uconn.edu>, www.equity.uconn.edu<https://linkprotect.cudasvc.com/url?a=http%3a%2f%2fwww.equity.uconn.edu%2f&c=E,1,ie7PvCyHHjl7zcAQHdG2yV2fb_2PKTiJonBI3qjldp-emFWbpWXBOguTEAbVpoTij8kZ4LrUetVzge0Xd_gGpvkzyh8ZVcJOrB2Rzz0hnqktEw,,&typo=1>.

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://mailman.clemson.edu/pipermail/iefac.list/attachments/20230918/bc1f7e89/attachment-0001.htm>