Project duration:

10 weeks


Expected outcomes and deliverables:


Learn the theory of productivity and efficiency analysis from an international leader in the field and learn to program and test in R various methods developed in the field of productivity and efficiency analysis.


To get a sense of this type of research, see:


and more publications at:


Suitable for:

The student must have good programming skills in R (statistical language).


Candidates with strong skills in other popular programming languages like C, C++, Julia, Python, Matlab, etc. who are willing to quickly learn and program in R during this internship are also welcome to apply.

Primary Supervisor:


Valentin Zelenyuk (ARC Future Fellow)


Further info: