|Study location||Estonia, Tallinn|
|Application fee||€100 one-time|
Postgraduate diploma (or higher)
Doctoral Level (PhD) applicants must have a research MA Degree or corresponding qualifications and experience.
At least 60% of the possible results is expected.
Please see a list of required documents documents here: www.tlu.ee/en/phd
The entry qualification documents are accepted in the following languages: English / Estonian.
All academic documents (diploma, transcript) need to be certified by a public notary or issuing university. If the document is not in English or Estonian, an official translation is required.
All required documents must be uploaded with the application by the application deadline. Please do not send your documents by post until you have personally been asked to do so. Please also read the country-specific requirements (www.tlu.ee/en/country-specific-requirements). There may be specific requirements for which documents need to be uploaded.
Once you have been asked to send your documents by post, please make sure that the copies of education documents have been officially certified (www.tlu.ee/certified-copies-and-translations-educational-documents).
The address for sending your documents is:
Please read about the application procedure here: www.tlu.ee/en/application-procedure
Only applicants who have completed their previous levels of education or their previous studies fully in English in the United States, Canada, the Commonwealth of Australia, New Zealand or the EU/EEA countries (attested proof from the previous educational institution required), will be exempted from submitting an international language test as a proof of their English proficiency.
IELTS (International English Language Testing System) academic: 5.5 (with a minimum of 5.5 in each component). Copy of the IELTS Test Report Form is accepted as it will be verified online by Tallinn University.
B2 First (First Certificate in English): 162 (with a minimum of 162 in each component)
Candidates presenting Cambridge English tests should make their results available in the online system for Tallinn University to be verified.
TOEFL (Test of English as a Foreign language) internet based (TOEFL iBT® Test): 72 (with a minimum result of 18 in reading, 17 in listening, 20 in speaking and 17 in writing component). The test result has to be sent directly to Tallinn University, by the test centre. It is also possible to order the test results to be sent to Tallinn University online (Tallinn University Code number is: 0449).
PTE academic (Pearson test of English): 51 (with a minimum of 51 in each component). Test result has to be sent to Tallinn university through the secure PTE portal.
Tallinn University only accepts English language test scores which have been taken no more than 2 years before the beginning of studies.
More information is available here: www.tlu.ee/en/proof-english-proficiency
MUST BE SUBMITTED WITH THE APPLICATION ON THE ONLINE APPLICATION SYSTEM BY THE APPLICATION DEADLINE:
Copy of a Bachelor’s degree certificate or certificate of a corresponding qualification + Transcript of Records/Academic Transcript (official translations are requested if the documents are not in English);
Copy of a Master’s degree certificate or certificate of a corresponding qualification + Transcript of Records (official translations are requested if the documents are not in English);
Copy of the identification page of passport;
Proof of English language Proficiency;
Thesis proposal signed by the prospective supervisor;
Copy of a Sworn Affidavit to Confirmation of Name if the applicant’s name stated in his/her passport differs from the name on any of the other required documents;
Applicants applying for adjustments to be made during the admission exams due to his/her physical or psycho-social special need must submit a copy of medical proof of this special need.
Please also read the country-specific requirements. There may be specific requirements of which documents need to be uploaded.
More information is available here: www.tlu.ee/en/dt/applying-phd-school-digital-technologies
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 questions or challenges for the project-based position are:
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.
Methods to be applied and instrumentation used
Physiological computing tools can include eye-tracking, visual recognition of facial expressions, peripheral physiology (facial Electromyography (EMG), Electrodermal Activity (EDA), Electrocardiography (ECG), respiration, and brain imaging (Electroencephalography).