Doctoral Programme in Mathematics and Computer Sciences (MATTI)

The Doctoral Programme MATTI reaches over the faculty borders and it is based on widely recognized scientific know-how.

The Doctoral Programme in Mathematics and Computer Sciences MATTI reaches over the faculty borders and doctoral candidates can pursue doctoral studies either in the Faculty of Science and Engineering or at the Turku School of Economics.
 
In MATTI Programme the following academic disciplines are represented: mathematics, applied mathematics, statistics, phonetics as well as ICT from three different viewpoints: natural sciences, technical sciences as well as economics.
 
The MATTI Programme functions within a wide network of both national and international arenas. The international character of the program is therefore guaranteed.
 
In the strategy of University of Turku, mathematical research is one of the research areas in an advanced development stage. One of the focuses on mathematical research in University of Turku is on discrete mathematics motivated by computer science and data transmission which are deeply related to MATTI Programme.

Research Themes

The research themes in MATTI Programme are grouped below according to departments. Following the themes, the research field(s) and the person(s) responsible are given in brackets.

Department of Future Technologies

Natural Sciences (degree: Doctor of Philosophy)

  • Natural Language Processing (Bioinformatics, Professor Tapio Salakoski, Associate Professor Filip Ginter)
  • Bio and Health Informatics (Bioinformatics, Professor Tapio Salakoski, Associate Professor Filip Ginter, Associate Professor Leo Lahti)
  • Data Analysis and Machine Learning (Computer Science, Professor Jukka Heikkonen, Professor Timo Knuutila, Associate Professor Tapio Pahikkala, Associate Professor Leo Lahti)
  • Discrete Optimization and Probabilistic Inference (Computer Science, Professor Jukka Heikkonen, Professor Timo Knuutila, Associate Professor Tapio Pahikkala)
  • Interaction Design (Computer Science, Professor Erkki Sutinen)
  • Gamification (Computer Science, Professor Erkki Sutinen)
  • Learning analytics and Educational Technology (Computer Science, Professor Erkki Sutinen, Professor Tapio Salakoski)
  • Computational Humanities (Computer Science, Professor Erkki Sutinen, Professor Tapio Salakoski, Associate Professor Leo Lahti)

Technology (degree: Doctor of Science in Technology)

Humanities (degree: Doctor of Philosophy)

  • Language Acquisition and Learning (Phonetics, Assistant Professor Maija S. Peltola, Professor Tapio Salakoski)
  • Speech Perception and Production (Phonetics, Assistant Professor Maija S. Peltola, Professor Tapio Salakoski)
Department of Management and Entrepreneurship

Degree: Doctor of Science in Economics and Business Administration or Doctor of Philosophy

  • Design and implementation of ICT-management and –governance (Information Systems Science, Professor Jukka Heikkilä, Professor Hannu Salmela, Professor Reima Suomi, Professor Tomi Dahlberg
  • IS- and e-services user/customer behavior (Information Systems Science, Professor Jukka Heikkilä, Professor Hannu Salmela, Professor Reima Suomi, Professor Tomi Dahlberg, Assistant Professor Matti Mäntymäki)
  • Work informatics and IS-ethics (Information Systems Science, Professor Jukka Heikkilä, Researcher Kai Kimppa)
  • e-health/-wellbeing (Information Systems Science, Professor Reima Suomi, Researcher Kai Kimppa)
Department of Mathematics and Statistics

Degree: Doctor of Philosophy

  • Bio-inspired computing (Discrete Mathematics, Professor Ion Petre)
  • Cellular automata (Discrete Mathematics, Professor Jarkko Kari)
  • Coding theory and combinatorics (Discrete Mathematics, Professor Iiro Honkala, Professor Tero Laihonen)
  • Combinatorics on words (Discrete Mathematics, Professor Tero Harju)
  • Computability theory (Discrete Mathematics, Professor Jarkko Kari, Professor Vesa Halava)
  • Data analytics (Discrete Mathematics, Professor Ion Petre)
  • Discrete dynamical systems (Discrete Mathematics, Professor Jarkko Kari)
  • Graph theory (Discrete Mathematics, Professor Tero Harju, Professor Tero Laihonen)
  • Logic and foundations of computation (Discrete Mathematics, Professor Vesa Halava)
  • Mathematics of oncology (Discrete Mathematics, Professor Ion Petre)
  • Network science (Discrete Mathematics, Professor Ion Petre)
  • Theory of automata (Discrete Mathematics, Professor Jarkko Kari, Professor Vesa Halava)
  • Number theory (Number theory, Academy Research Fellow Kaisa Matomäki)
  • Function spaces and partial differential equations (Analysis, Professor Peter Hästö)
  • Mathematical modelling (Mathematical modelling, Professor Marko Mäkelä)
  • Biomathematics (Applied Mathematics, Professor Tero Aittokallio)
  • Financial mathematics (Applied Mathematics, Professor Jukka Lempa)
  • Optimization (Applied Mathematics, Professor Marko Mäkelä)
  • Theoretical statistics (Statistics, Professor Mervi Eerola, Professor Kari Auranen)
  • Statistical inference needed in the methodology of empirical sciences (Statistics, Professor Mervi Eerola, Professor Kari Auranen)
  • Econometrics and time series analysis (Statistics, University Lecturer Henri Nyberg)

Contact information

Email: sci-docstudies@utu.fi

MATTI Director:
Professor Jouni Isoaho

MATTI Coordinator:
Coordinator Nina Lehtimäki

Sitaatti PhD JUNO Myllyntausta 6
My doctoral studies have entailed applied and theoretical method development in multidisclipinary projects. I know my research is important and topically relevant!
Ville Laitinen, Doctoral Candidate