PhD Student in Statistics/ Computer Science

Updated: 2 months ago
Job Type: FullTime
Deadline: 24 May 2020

LINKÖPING UNIVERSITY hereby advertises a position as PhD student in Statistics or Computer Science formally based at the Division of Statistics and Machine Learning (STIMA) at the Department of Computer and Information Science (IDA). 

The Division of Statistics and Machine Learning (STIMA) is highly regarded for its research in many areas of machine learning. This together with being part of a department of computer science makes it unique in Sweden. The division hosts a unique bachelor program in statistic and data analysis, as well as an international master program in statistics and machine learning. The division is also responsible for courses in machine learning taught at the engineering programs at Linköping University. 


We are looking for one PhD student (for 4 years full-time) to do research in machine learning and causality together with Associate Professor Jose M. Peña. We aim to do research on the theoretical foundations of causality, develop new methods and algorithms for causal learning and inference, and applying these on real world data. We are primarily interested in using causal graphical models, although other frameworks may be considered as well. Our work is part of the project “Understanding society through register-based machine learning” lead by the Institute for Analytical Sociology (IAS) at Linköping University. The project aims to use machine learning to analyze Swedish population registers in order to deepen our knowledge of key social issues. Therefore, we will collaborate with researchers at IAS and apply our findings on Swedish population register data. 

The doctoral training consists of 240 ECTS, which is equivalent to four years of full-time studies-- one year (60 ECTS) of courses and three years of dissertation work. Throughout the program you will be employed at the STIMA with a wage ladder set according to university standards (starting at 2700 EUR/month and expected increase to 3100 EUR/month by year 4). 

As a PhD student you will primarily focus on your own research and training. You are not allowed to devote more than 20 percent of your time to other tasks such as teaching and administration. 

Based on the above criteria, the most suited applicants will be contacted for an interview, work samples and tests.  

Informal enquiries are welcome and can be made directly to the following person: 

Jose M. Peña
Associate Professor   

Sandra Malmström
HR Administrator

You can find further information and submit your application following this link,  

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