Here you can find a relevant information for doctoral candidates and supervisors.
Info for doctoral candidates and supervisors
The Doctoral Program in Mathematics and Statistics invites applications for letter of intent for doctoral studies in order to bring prospective doctoral candidates with strong academic record into contact with Domast supervisors. The most impressive submitters of a Letter of Intent will be contacted and interviewed, after which supervisors may decide to help them in preparing a research proposal for the next call for university-funded positions in September 2018 or for external funding for doctoral studies.
Application form (open May 1st)
Domast organizes a monthly meetup for its students. Info about the time and place is send via the mailing list. If you have any question or comments about the meet-up, please contact Brecht Donvil or Miriam Hägele (firstname.lastname (at) helsinki.fi)
The University of Helsinki has many events, organizations and associations for doctoral candidates. These include
The Association of Doctoral Students at the University of Helsinki. Visit the Association's blog and join in!
Kumpula Campus' Women in Science Group. Visit the group's blog for more information. All genders are welcome!
A Buddy programme for (new) international staff and doctoral students. For more info email email@example.com.
Tsemppi PhD. Take a look at the Tsemppi Blog where you will find relevant information on grant calls, academic and social events.
More information about joining the community can be found here.
As of 1.8.2017 a doctoral degree at the Doctoral Programme in Mathematics and Statistics (Domast) consists of
- a doctoral dissertation
- scientific studies (at least 30 credits), and
- studies in transferrable skills (10 credits).
The scientific studies consist of discipline-specific studies supporting the thesis research work as well as a course in research ethics. The discipline-specific courses can consist of suitable advanced-level courses in mathematics and statistics (for example from the master programme of mathematics and statistics) or other courses which support the dissertation work. The supervisor will decide if the courses are suitable for the module.
The requirements for transferrable skills studies are common to all programmes of the Doctoral School in Natural Sciences and consist of
- courses in different skills related to academic work (at least 4 cr; codes DONAS-1** or PED-5** or other suitable courses)
- international activity and mobility (1-4 cr; codes DONAS-2**)
- societal communication and organising tasks (codes DONAS-3**)
Information on degree requirements and courses offered can be found from the WebOodi Course Catalogue Service.
More information on the degree structure is also available on the University's general website on doctoral education.
Instructions for doctoral candidates on transferring to new degree structure (more detailed information can be found on Flamma).
This form can be used for the registration of study modules for doctoral students who are completing their degree according to the new degree structures (40 ECTS).
If you are completing your degree according to the old degree structure (60 ECTS), please contact your education coordinator (firstname.lastname@example.org)
Below is a list of current supervisors of the programme.
Professors and Principal Investigators
- Elja Arjas, professor emeritus
- Kari Astala, professor (analysis)
- Jukka Corander, professor (statistics)
- Mats Gyllenberg, professor (biomathematics)
- Ilkka Holopainen (analysis)
- Antti Honkela, assistant professor (statistics)
- Ritva Hurri-Syrjänen (analysis)
- Tapani Hyttinen (mathematical logic)
- Tuomas Hytönen, professor (harmonic analysis)
- Konstantin Izyurov, assistant professor (statistical physics)
- Antti Kupiainen, professor (mathematical physics)
- Matti Lassas, professor (inverse problems)
- Jani Lukkarinen (mathematical physics)
- Pertti Mattila, professor emeritus
- Jouko Mickelsson, professor emeritus
- Paolo Muratore-Ginanneschi (statistical physics)
- Esa Nummelin, professor (stochastics)
- Harri Nyrhinen (stochastics)
- Juha Oikkonen, professor
- Pekka Pankka, assoc. professor (geometric analysis and geometric topology)
- Matti Pirinen, assistant professor (statistics)
- Pentti Saikkonen, professor (statistics)
- Eero Saksman, professor (analysis)
- Samuli Siltanen, professor (inverse problems)
- Jari Taskinen (functional analysis)
- Hans-Olav Tylli (functional analysis)
- Gunther Uhlmann, FiDiPro professor
- Jarno Vanhatalo, assistant professor (statistics, environmetrics, machine learning)
- Kari Vilonen, visiting professor
- Jouko Väänänen, professor (mathematical logic)
- Xiao Zhong, professor (analysis)
- Kari Auranen (THL)
- Erik Elfving
- Anne-Maria Ernvall-Hytönen (ÅA)
- Dario Gasbarra (stochastics)
- Stefan Geritz (biomathematics)
- Tapio Helin (inverse problems)
- Tommi Härkänen (THL)
- Juliette Kennedy (mathematical logic)
- Eva Kisdi (biomathematics)
- Juha Kontinen (mathematical logic)
- Kalle Kytölä (Aalto)
- Jouni Luukkainen
- Henri Martikainen (harmonic analysis)
- Pekka Nieminen (analysis)
- Petri Ola (inverse problems)
- Tuomas Orponen
- Istvan Prause (quasiconformal methods in analysis)
- Mikko Salo (JY)
- Mikko Sillanpää (OY)
- Matti Vuorinen (TY)
- Simopekka Vänskä (THL)
For current publications and research activities, search the Tuhat database.