Stop Food Waste Research Opportunity - BC-338

Preferred Disciplines: Master, PhD and Postdoctoral students with a Computing Science background.
Project length: 4 to 6 months
Approx. start date: September 15, 2017- January 31 2018. Application deadline is July 15, 2017.
Location: Vancouver, BC (exact location to be determined) 
No. of Positions: 1
Preferences: Preference of a BC Lower mainland University. Language: English or bilingual
Company: Eco Eats Inc

About Company:

Eco Eats is stopping food waste and changing the relationship between people, food, and the environment by connecting people and nonprofits to food before it's thrown away. We aggregate the saved food amount, reduced greenhouse gasses  and identify communities missing nutritional benefits to ensure nobody goes hungry. With our platforms environment and social benefits we change how we interact and with food and the environment in one place the easy way.

Summary of Project:

Eco Eats is researching its primary algorithm to predict produce inventory stock for major chain retailer stores (small to large) across North America. The algorithm will significantly help Eco Eat to accurately show consumers a real-time stock reflection of how much food is left without installing any type of equipment in the store.

Each store and produce will have its own purchasing pattern subjected to economic trends, importing costs, crop readiness, policy changes, consumer response rate, competitors’ prices and other influences which attribute to the total inventory amount. The research candidate will need to research these fluctuating variables, identify the hierarchy grocery store challenges and create an algorithm capable of predicting produce quantities against identified and unidentified market outliers sufficiently.

Based on the research, the algorithm is capable of independently learning to compute each produce quantities per store while new grocery stores and food vendors join Eco Eats platform. Algorithm languages can be a single or combination of Javascript, Java or Ruby to be embedded into the hybrid and/or native android/ios mobile app. 

Background and required skills

Research Objectives/Sub-Objectives:

  • Research each store and produce purchasing patterns subjected to economic and market influence and other variables contributing to total inventory amount
  • Research and create an algorithm capable of learning and predicting inventory amount


    To be discussed 

    Expertise and Skills Needed:

    • 3-4 years of algorithm experience from co-op, project or research development opportunities. 

    For more info or to apply to this applied research position, please

    1. Check your eligibility and find more information about open projects.
    2. Complete this webform. You will be asked to upload your CV. Remember to indicate the title of the project(s) you are interested in and obtain your professor’s approval to proceed!
    3. Interested students need to get the approval from their supervisor and send their CV along with a link to their supervisor’s university webpage by applying through the webform or directly to Laurence Meadows at lmeadows(a)