Plant & Food Research (PFR) is a New Zealand science company delivering research and development designed to grow competitive advantage for clients in the horticulture, wine, cropping, seafood and associated high value food sectors worldwide.
Our summer studentship programme creates a special "career experience" for high calibre candidates. Our unique programme includes a full induction training day, a career planning session identifying potential pathways, a specific project - designed for you, as well as a final farewell and awards function.
This project will contribute to developing data science deliverables for smarter selection of kiwifruit varieties with outstanding characteristics in commercial breeding by making better use of data from consumer and chemistry evaluations of fruit.
The candidate will work with researchers in data science, consumer science, and chemistry to help build statistical and machine learning models that map between measures of consumer experience at different stages and with specific flavour chemistry. They will build dynamic web resources for reporting and use modern data science tools for collaboration among stakeholders.
Criteria for the Position
- Completed or in process of completing a Bachelor's degree or Master's degree in data sciences, computer sciences, statistics, mathematics, engineering or any other related field with a strong quantitative background.
- Strong skills in programming and statistical computing (preferably Python or R).
- Experience using version control (Github/Bitbucket), markdown, and other forms of digital notebooks.
- Background knowledge of biology, chemistry, consumer science, or related science disciplines is desirable.
- Strong interpersonal, communication, and relationship skills to enable effective relationships with a wide range of diverse, multiple-discipline teams and to maximise the sharing of knowledge and expertise.
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