Your mission

You will

support the dida team in applying cutting-edge machine learning algorithms
experiment with model architectures to find the best solution for each specific project
keep up to date with advances in machine learning research and actively take part in our company’s collaborative learning and development environment.

Your Profile

a MSc or PhD in mathematics or physics
a creative mind that likes to solve problems
interest in modern machine learning approaches (experience in deep learning is a bonus)
solid programming experiences (Python is a bonus)
CV (mandatory)
(Uni) Degree(s) (mandatory)
Transcripts (where applicable)
Project / Code Examples / Portfolio (optional)

Why us?

Find below a short description of two of our current projects.

Estimate the amount of solar panels that fit on a roof (computer vision)

Given a satellite picture and a ground image of a house, automatically detect certain elements of a roof (including obstacles, dormers etc.) in order to find out how many solar panels fit on it. This involves inferring 3d information from 2d pictures in order to infer the roof pitch.

Detect, classify and suggest legal effectiveness of text paragraphs (NLP)

Automatically go through thousands of legal documents with the goal to classify dedicated paragraphs and check their legal effectiveness. This involves converting scans to text, coming up with a labelling scheme (problem modelling), and detecting different paragraphs automatically, before tackling the inference task.