Markus Fält is the first industrial PhD‑student at Försäkringskassan

Thu 11 Feb 2021 09:09

Meet Markus Fält, new industrial PhD-student at STC, who will conduct his research at the Swedish Social Insurance Agency (Försäkringskassan).

Markus Fält, myndighetsdoktorand Försäkringskassan

Tell me a little about your background?

I grew up in Östersund and moved to Sundsvall in 2015 to attend the civil engineering program for computer engineering at Mid Sweden University. While studying I have been part of an internship at permobil where we looked at securely incorporating android touch devices into their electric wheelchairs. I was also a lab supervisor for both an introductory C# course and an introductory computer science course. Other than that, I have also been a supervisor at “programmeringsakuten” where we provided help for first- or second-year students who found their programming courses difficult.

Why did you choose to apply for the position as an industrial PhD-student at Försäkringskassan?

I enjoy exploring interesting problems at depth, this is why I was thinking about continuing my studies after finishing my master’s degree. While I was looking for a subject for my master’s thesis, I was made aware of the PhD-student position with Försäkringskassan. I thought it was a great opportunity to continue my studies so I decided to apply..

What is it that you are going to investigate as a PhD-student?

In my research I will investigate the problems of root-cause analysis in large scale it-systems. In such systems a lot of data is often collected. When an error or large-scale failure occurs, this collected data is used by system experts to diagnose the error. This can be a very difficult task because of the large amount of data one might have to consider. My research aims to find correlations and error indicators in system data through the use of machine learning methods. Hopefully this can help in the task of finding the cause of an error or failure and maybe even prevent future errors or failures.

You started in this august. What have you done so far and what is your experience?

So far, I have studied the field of root-cause analysis, I have also tried to find a concrete problem in my research area to look more closely at. In this case it is anomaly detection I have been researching, more specifically anomaly detection of system logs. In this I have tested different anomaly detection algorithms, log parsing methods, etc. Right now, I am attempting to propose a log anomaly detection method of my own, that I hopefully can write a paper about soon.

Anything else you like to add?

I am happy to be able to contribute to an interesting field as well as to see how problems are approached from both an academic and an industrial perspective.

Industrial PhD-student Markus Fält


The page was updated 2/12/2021