A Postdoc Position in the Intelligent Sensing Laboratory (ISL) at UMass Amherst
The ideal candidates will have a profound interest in both fundamental and applied research in metrology, machine vision, and machine learning and their application flexible electronics manufacturing and medical imaging.
- Machine vision, image processing, pattern recognition, object tracking
- Deep learning
- Ph.D. in mechanical, electrical, computer engineering or computer science
- Strong hand-on skills in sensing design and development
- Experience in control, machine learning
- A burning desire to conduct both theoretical and experimental work
- Highly self-motivated and persistent in solving practical experimental problems
- Programming in Matlab/Labview and/or C/C++ for data acquisition and processing
- Experiment design, data collection, processing and analysis
- Peer-reviewed 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 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 email@example.com.
- Email Subject: Postdoc.
- Email to firstname.lastname@example.org
- 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