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2022美国麻省大学Amherst分校全奖博士招生（Machine Vision, Deep Learning方向）
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有意向的同学可以直接发送邮件与Prof.Xian Du联系，或者私信联系本人咨询相关信息。 A funded Ph.D. position for intelligent sensing at UMass Amherst Job Description A Ph.D. Position in the Intelligent Sensing Laboratory (ISL) at UMass Amherst A fully research-funded Ph.D. position is available in the Intelligent Sensing Laboratory (ISL) in the Institute for Applied Life Sciences (IALS) at the University of Massachusetts (UMass), Amherst. High priority will be given to highly qualified candidates who are available to start in the Spring or Fall 2022. The ideal candidates will have a profound interest in both fundamental and applied research in deep learning and their applications in machine condition monitoring and flexible electronics manufacturing. Research topics • Deep learning • Machine vision Required Qualifications • Undergraduate in mechanical, electrical computer engineering or computer science • Experience in machine vision, sensor fusion or machine learning algorithms • A burning desire to conduct both theoretical and experimental work • Highly self-motivated and persistent in solving practical experimental problems Required Skills • Programming in Matlab, Python, LabVIEW or C/C++ for data acquisition and processing • Experiments design, data collection, processing and analysis Preferred Qualifications • Peer-reviewed conference and journal publications • Strong technical writing, communication and presentation skills Note: your strong interest and hand-on experience to work on and solve practical engineering problems will be more important for this lab than any skills and qualifications. The successful applicants will join a vibrant team of students working in the Intelligent Sensing Lab that is focused on the translational machine intelligence and innovative sensing techniques for flexible electronics manufacturing and medical devices. This is an exciting time to join because UMass is going through a substantial growth in the area of scale up of intelligent flexible electronic roll to roll manufacturing for low-cost, multi-function, wearable wireless sensor systems for personalized health care and biometric monitoring. Applicants are strongly encouraged to contact Prof. Xian Du at xiandu@umass.edu. Emailing Instructions •Email Subject: Ph.D. •Email to xiandu@umass.edu •In your email, please state the specific area you are interested in. Please include the following attachments to your email 1. CV (curriculum vitae) 2. Cover letter. 3. List of peer-reviewed publications, if available 4. Three references |
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