Data Science Imaging Internship at Indigo
Data Science (Imaging) Intern, June 1 - August 15, 2020
The deadline to apply to this internship is January 21st, 2020 at 6am. Additionally, please note that candidates should only apply to a maximum of 3 Indigo internships.
What if nature could be harnessed to help farmers sustainably feed the planet? Since 2014, Indigo has questioned agriculture's full value chain to improve grower profitability, environmental sustainability, and consumer health. The company’s scientific discoveries and digital innovations have amplified new value from soil to sale, benefiting more than 10,000 growers to date. Indigo is also the company behind The Terraton Initiative, a global effort to drawdown one trillion tons of atmospheric carbon dioxide by unlocking the potential of agricultural soils. In 2019, Indigo was ranked #1 on CNBC’s Disruptor 50 list. Headquartered in Boston, MA, Indigo has additional offices in Memphis, TN; Research Triangle Park, NC; Sydney, Australia; Buenos Aires, Argentina; Basel, Switzerland; and São Paulo, Brazil.
The Data Science (Imaging) Intern will aid in the development and implementation of image analysis algorithms for extracting as much information from plant images as possible, helping to accelerate Indigo’s R&D pipeline. They will work to continually improve the quality and depth of optical and hyperspectral imaging analysis and develop methods to capture novel features. As a member of the image analysis team within BioInnovation at Indigo, they will work collaboratively to rapidly drive research and product development forward using computer vision and machine learning tools.
Interns will be exposed to optical and hyperspectral plant images, and learn how to apply computer vision and machine learning algorithms to problems in agriculture.
- Understand our current imaging capabilities and image analysis pipeline
- Identify weaknesses and failure modes of our current algorithms, and propose solutions
- Suggest new methods for extraction of novel metrics and features from optical and hyperspectral plant images
COMPETENCIES & QUALIFICATIONS
- Current PhD candidate in physics, computer science, engineering or similar quantitative discipline, or biology-related field with quantitative experience
- Collaborative, team player
- Excellent written and oral communication skills
- Strong attention to detail
- Fast learner; loves to learn about learning new state of the art technologies and techniques
- Strong knowledge of statistics
- Skilled at coding in Python, including NumPy, Pandas, SciPy, scikit-learn, Jupyter notebooks
- Prior experience with version control (Git)
- Prior experience with image analysis libraries (scikit-image and OpenCV)
- Prior experience with databases a plus
WHO YOU’LL BE WORKING WITH
The Data Science (Imaging) Intern will mostly work with data scientists, data engineers, software engineers, and plant biologists.