Create your personal profile and easily find a job you love.

Sign up

Stage Data Science

Internship Delft, NL
Posted 3 Feb 2021

Degree level


Job function


Required languages

Dutch (Good)
English (Fluent)

Work experience

0 to 5 years


€250 - €300 per month

Find a job you love at one of the 5,000 employers on

SLAM Ortho has developed a technique that helps surgeons place metal implants during the surgical treatment of fractures. They need to place screws in the bones to fixate the fractures. Currently, after drilling, surgeons measure the depth of the hole with a handheld tool manually. This consumes expensive OR time, is considered annoying by surgeons because and leads to the wrong screw length being implanted in patients if it goes wrong.

During drilling, the sensor technology of SLAM Ortho measures multiple signals. The sensor sends this data to an algorithm that shows the surgeon the required screw length. The operation of the algorithm has now been demonstrated in a proof-of-concept.

The purpose of this assignment is to help improve our sensing technology by further developing the data processing algorithms we currently use. Based on your personal profile, topics that can be discussed are:

  • Developing the algorithm that processes the incoming data
  • Analyzing and optimizing different options for processing the raw data
  • Visualizing the data in an optimal way for the user
  • Testing the solutions in a real world environment

We are a startup with a diverse and ambitious team with experience in the medical field, engineering (Mechanical and Electrical) and data analysis. As a student you will be part of the team and intensively supported. You will also work in our office at YES! Delft, one of the leading tech incubators in Europe.

Logo SLAM Orthopedic
About SLAM Orthopedic
to company page

SLAM Ortho ontwikkelt technologie voor chirurgen die operatief botbreuken te fixeren, waarmee zij in de toekomst patiënten beter behandelen. Het ontwikkelen van een technische oplossing voor een medisch probleem is een complexe onderneming, en zorgt voor veel interessante uitdagingen. Het leuke van werken aan nieuwe technologische oplossingen voor in ziekenhuizen is dat je met een hoop mensen met veel verschillende achtergronden in contact komt, die allemaal met jouw product gaan werken.

Active in 1 country
6 employees
50% men - 50% women
Average age is 27 years