Job Description
Position Overview
KU is seeking a highly motivated Post-doctoral Fellow to work on an externally funded project to investigate the development of a new stretchable and low-cost tactile sensor for robotics applications. The project will specifically focus on the use of a relatively new modality, Electrical Impedance Tomography (EIT). However, reconstruction of EIT images is an ill-posed and ill-conditioned problem. In this research, a modular framework based on machine and deep learning is proposed for image reconstruction, segmentation and automated interpretation of tactile stimuli.
The successful candidate will be responsible for the design and implementation of machine/deep learning algorithms for EIT image segmentation and static/dynamic stimulus recognition methods. Both feature engineering/learning approaches will be explored and compared to end-to-end Deep Learning solutions for image segmentation and static stimuli recognition. Architectures such as CNN/transformer + RNN will be developed and compared in a variety of dynamic stimuli.
Position Requirements
– Conduct research on the development of image segmentation and stimuli recognition methods for EIT tactile sensing.
– Design and simulate both static and dynamic tactile stimuli, e.g., touching, pressing, pulling, tapping, pinching, using state-of-the-art EIT modelling software.
– Design and implement machine learning methods using feature engineering/learning for EIT image segmentation under various experimental setups/configurations.
– Design and implement combinations of dynamic and convolutional deep architectures for static and dynamic stimuli recognition under various experimental setups/configurations.
– Demonstrate expertise in the use of high level programming languages (e.g., MATLAB, Python), and be competent in developing software applications for deployment in GPUs/HPC, etc.
– Write independently, as directed by the project supervisor, publications for submission to Q1 journals and premier computer science conferences.
– Take responsibility for reporting technical progress to the project investigator, periodically and in a timely manner.
– Carry out a specified research program under the direction of the project investigator.
– Collaborate and work in a collegial manner with the project team members.
– Function autonomously, ethically, and responsibly.
– Adhere to the University’s information security and confidentiality policies and procedures, and report breaches or other security risks accordingly
– Perform any other tasks assigned by the Line Manager.