Publisert: 22.02.18

Are you an exceptional student with an keen interest in computer science, mathematics or data science? We are now accepting applications for summer internships for 2018! The nature of the internship will depend on the candidates that will work on the summer project. We will adapt the project to fit the abilities of the interns and needed functionality at Exabel.

Examples of summer projects include

• Create training data and improve a model for determining entity relations in news articles. Many articles contain references to entities such as people, companies, commodities or events. Given two entities present in an article (e.g. a person and a company), the problem is to determine, based on the information in the article, whether there is a link between the two entities and the nature of that link (e.g. the person is the CEO of the mentioned company).
• Automatic extraction and normalisation of information pertaining to products and companies from Google Trends. A company may have several products or services available, and it is possible to get an understanding of these from news feeds and other data sources. As a proxy for the web traffic and the popularity of a product or service, it is possible to query Google Trends to detect developments in the search space in different time intervals. A possibility for a summer project is to develop a method to discover products and services for various companies and find ways to normalise the responses from Google Trends.

A bit about you

• You are an outstanding student in your field
• You would like to solve interesting challenges
• You are able to spend the summer at our offices in Oslo
• You will consider a full-time position at Exabel when you finish your studies
• You have strong programming skills

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Om Exabel

  Profil

  Nettside

Becoming a world leader in Artificial Intelligence for finance professionals. That’s our goal at Exabel. It’s an ambitious one, but we’re an ambitious bunch.

Today, investment professionals work in a state of information overload, facing an ever-increasing abundance of information. Current tools do not allow investors to process such vast amounts of information effectively, which leads to biased or simply erroneous investment decisions. Exabel is building an intelligent monitoring tool that uses state-of-the-art machine learning methods and mathematical modelling techniques to turn the massive streams of data into actionable insights.

Our team is growing. We are 10 now, with backgrounds from a range of different disciplines, including mathematics, software engineering, data science, financial analysis and business development.

We are a young company, and we are conscious of establishing a stimulating team culture. Exabel does well when our employees do well, so our people are offered the freedoms needed to stay in shape, professionally and personally.