|Study location||Estonia, Tallinn|
|Application fee||€100 one-time|
Postgraduate diploma (or higher)
The entry qualification documents are accepted in the following languages: English / Estonian.
Academic Affairs Office
IELTS (International English Language Testing System) academic: 5.5
Cambridge English tests:
TOEFL (Test of English as a Foreign language) paper version: 543, internet based: 72, (Tallinn University Code number is: 0449).
PTE academic (Pearson test of English): 51
More information about language proficiency requirements is available at www.tlu.ee/en/proof-english-proficiency
Language test can also be carried out at Tallinn University for EU/EEA citizens.
Students coming from Finland don’t have to prove their language proficiency if they have at least “cum laude approbatur” (pitkä oppimäärä) in their matriculation certificate.
Students coming from Latvia do not have to prove their language proficiency for B2 level if they have at least grade “A” or “B” in their General Secondary Education Certificate.
Students graduated from International Baccalaureate studies with ENGLISH B Level HL at least grade 6 or ENGLISH A Level with at least grade 5 do not have to prove their English proficiency for B2 level.
NEED TO BE UPLOADED TO THE APPLICATION FORM ON THE ONLINE APPLICATION SYSTEM BY THE APPLICATION DEADLINE*:Copy of a Bachelor’s degree certificate or equivalent + transcript of records (translations are requested if documents are not in English); Copy of a Master’s degree certificate or equivalent + transcript of records (translations are requested if documents are not in English); Plan for the doctoral thesis signed by the prospective supervisor Proof of English Proficiency Copy of the identification page of passport
NEED TO BE SENT BY POST AFTER RECEIVING CONDITIONAL ACCEPTANCE FROM TALLINN UNIVERSITY/BY THE DEADLINE FOR SENDING DOCUMENTS BY POST:Application cover printed from the online application system Copy of a Bachelor’s degree certificate or equivalent + transcript of records (translations are requested if documents are not in English); both copies and translations must be attested by a notary Copy of a Master’s degree certificate or equivalent + transcript of records (translations are requested if documents are not in English); both copies and translations must be attested by a notary
Students with long-term medical conditions*, may encounter obstacles in higher education. Aiming to provide equal education students have the opportunity to apply for adjustments to compensate for the disadvantage that their condition may result in. Lectures have the right to give reasonable adjustments, but not an obligation.
Specific requirements for Non-EU applicants:
Please also see the country specific requirements: www.tlu.ee/en/country-specific-requirements
Country specific requirements may not apply to all countries, please see if Your country is on the list.
Personalization techniques, in general, build upon user models. These models are application specific and account both for long term user properties (e.g. preferences, attitudes, personality traits, which are stable over longer time periods) and short term User properties (e.g. affective/cognitive states, which can change more rapidly). Long term properties can be acquired with existing acquisition techniques using either one-time Intrusive questionnaires or slowly and unobtrusively via various modalities, e.g. ratings, browsing history, social media streams. However, these approaches fail for short term Properties, which change rapidly. Hence, personalization techniques still lack quick, responsive and unobtrusive techniques to acquire the short term user properties.
The measurement of peripheral physiology and brain responses of users can complement the traditional user feedback acquisition techniques by providing more insight into short term changes of the user. Physiological measurement can be continuously available, quantitative and relatively unobtrusive. Therefore, personalized systems can now aim for a more detailed and temporally adaptive user models that try to mimic the dynamics of the user’s cognitive and affective states. In addition, the physiological data can also be used for complementing long-term user properties (e.g. personality traits). Furthermore, physiological measures can be combined with behavioural data to provide a more detailed multimodal model of the user.
Research Areas and PhD Topics:
PhD studies will concentrate on the research embracing:Development of physiological user models for personalized systems Collection of datasets with physiology information in personalized systems/human-computer interaction Enhancing user/learner models with physiology; Evaluation of physiology-based personalized services; Design, development and validation of novel applications considering physiology including games, cinema, theatre, multimedia content, and social media.
Contact: David Lamas (email@example.com), lja Šmorgun (firstname.lastname@example.org)