AI-enabled spectroscopy - Departments of Biological Engineering and Food Science and Tech

A postdoctoral position is available to work at the interface of spectroscopy and deep learning, and its applications in plant sciences and food systems. The projects will involve application of optical spectroscopy/imaging technologies and deep learning approaches for early stage detection of physiological and pathophysiological stresses in plants, as well as applications of these approaches in the areas of food quality and safety. In addition, the candidate will also have an opportunity to develop mechanistic models in the area of food quality and safety. The potential candidate will have background training in biological and/or food engineering with prior experience in the areas of spectroscopy and data analytics, including deep learning approaches.
Regarding the laboratory, we are a dynamic group working at interface of biomaterials, spectroscopy/imaging, and biosensors. The group is committed to developing technologies that have significant potential to make an impact and translation of these technologies. The laboratory currently has 6 graduate students, 3 postdoctoral fellows and on average 3-5 undergraduate researchers. Applicants should have a Ph. D degree, a strong publication record and excellent oral and written communication skills. Interested applicants should send CV with a list of three references to N. Nitin, Ph.D. (