Applications are cordially invited for a postdoctoral research fellow position in the Information & Smart Systems Laboratory at the University of Kansas. The position can start between January and May 2019, with the exact beginning date negotiable. The research project will be concerned with estimation theory and machine learning. A background in the broad areas of estimation, machine learning, deep learning, optimization, signal processing, mathematics, and control will be desirable.
A successful candidate should have the following qualifications: a recent PhD degree with thesis research on machine learning, data science, estimation theory, control systems, mathematics or related subjects, solid mathematical skills, excellent programming (Matlab, TensorFlow, or Python) skills, excellent oral and written communication skills, and strong motivation to perform outstanding research.
The appointment is for one year, with possible extension contingent on availability of funds and research performance. The salary will be in accordance with the postdoctoral salary scale of the University of Kansas.
Interested candidates can feel free to contact Dr. Huazhen Fang (
[email protected]) for further information and send: a curriculum vitae detailing research achievements, a list of three referees, and up to three research documents (e.g., thesis, journal articles, and conference papers).
