Den Haag
Master (EQF 7)
Apply before:
Hours p/wk:


What will you be doing?

Machine learning is the subfield of computer science that gives computers the ability to learn without being explicitly programmed. An important technique in this area is regression, which is a way to predict the outcome of a system. In statistical modeling, regression analysis is a statistical process for estimating the relationships among variables. It includes many techniques for modeling and analyzing several variables, when the focus is on the relationship between a dependent variable and one or more independent variables (or 'predictors'). The simplest form of the equation with one dependent and one independent variable is defined by the formula y = c + b*x, where y = estimated dependent score, c = constant, b = regression coefficient, and x = independent variable.

When the involved data is sensitive, like for most health applications, one would like to find secure solutions, e.g. by encrypting private inputs before performing the regression algorithm. Since the involved algorithm is not easily translated to the encrypted domain, it is important to learn how fast such a 'secure regression’ solution would perform.


What do we require of you?

Expertise on cryptography is recommended, but not strictly necessary, since an important subtask is to translate linear regression to the integer domain. We are looking for a computer science or mathematics student, who is able and willing to implement our foreseen solution. This could be done during a (paid) TNO internship.


What can you expect of your work situation?



What can TNO offer you?



Has this vacancy aroused your interest?


Contactpersoon: Thijs Veugen
Phone number: +31(0)88-86 67314
