Characterizing Honey Composition by Hyperspectral Analysis Position in New Zealand-Scholarship Positions 2018 2019

The Massey University is pleased to offer the PhD Position: Characterizing Honey Composition. The program is open to students who have a master’s degree (or equivalent) in food or process engineering, computational science or similar discipline with a focus on applied mathematics and computing. The eligible candidates will work in a research team drawn from the School of Food and Advanced Technology, the Massey AgriTech Partnership, AgResearch, and the project’s industry partners. They will work mainly on the research-intensive and beautiful Palmerston North campus, amongst a vital team of professors, young researchers and PhD students. Massey University is the only university in New Zealand offering a range of undergraduate and postgraduate degrees, diplomas and certificates to students from around New Zealand, and the world. Scholarship Description: Applications Deadline: Open Course Level: PhD Study Subject: Food Science, Spectroscopy, Machine Learning & Artificial Intelligence Scholarship Award: The successful candidate will receive an FIET scholarship covering fees and stipend for three years. Nationality: Internationally Number of Scholarships: Not given Scholarship can be taken in New Zealand, Palmerston North Eligibility for the Scholarship: To be eligible, the applicants must be following all the given criteria: Eligible Countries: Specifically not given, contact employer Entrance Requirements: Master’s degree (or equivalent) in food or process engineering, computational science or similar discipline with a focus on applied mathematics and computing. Familiarity with at least one programming language (e.g., R, Matlab Python). Experience in data and image analysis, ideally machine vision techniques. Required personal skills The ability for independent work displaying initiative and careful thought The analytical and academic approach to research questions Good collaborative/social skills Proficiency in English, both written and spoken Application Procedure: To apply, the applicants must send your CV and cover letter in a single PDF to Dr. Reddy Pullanagari, [email protected] with the subject “Characterising honey composition by hyperspectral analysis PhD position”. The project may contain the following elements: Predictions using known honey samples under laboratory conditions. Several hundred known honey samples are available for inspection using several hyperspectral cameras to develop efficient predictions based on a few spectral lines. Different data mining techniques may be explored to develop robust prediction models. Application of predictions to whole frames in the laboratory setting: Image processing techniques will be needed to isolate pixels for an individual cell, a task supported by a post-doctoral researcher also working in the project. The PhD will determine how best to use data from pixels allocated to a cell. Development of a prototype for use in the industrial setting: The PhD researcher will assist the post-doctoral fellow to develop an industrial unit by applying the predictive tools developed. The PhD would address more fundamental issues and the post-doc address more applied ones. Fluorescence: The phase addresses how best to use the hyperspectral camera to capture the fluorescence signature cell by cell. This will require special illumination and may need a sequence of illuminations and image captures, thus introducing a temporal element to the technique.

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