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PhD Position: Characterizing Honey Composition by Hyperspectral Analysis Position in New Zealand

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.

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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.

Description:

  • Applications Deadline: Closed
  • Course Level: PhD
  • Study Subject: Food Science, Spectroscopy, Machine Learning & Artificial Intelligence
  • Award: The successful candidate will receive an FIET scholarship covering fees and stipend for three years.
  • Nationality: Internationally
  • Number of Awards: Not given
  • The award can be taken in New Zealand, Palmerston North

Eligibility::

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.

Scholarship Link