Tallinn University invites applications for the position of Professor of Cultural Data Analytics to commence on Summer 2019 (the expected start date is negotiable and the duration of the contract can be up to 60 months).

The deadline of submitting the application documents is 26th February 2019 (including).

General Job Description of Professor of Cultural Data Analytic 
The Professor Cultural Data Analytics works at  Tallinn University and leads the newly established ERA Chair in Digital Culture Studies and Analytics under the School of Baltic Film, Media, Arts and Communication (BFM) of Tallinn University (TU).
The European Commission’s Horizon 2020 ERA Chair programme supports EU’s Convergence regions and Outermost regions in their efforts to build on growing reputation as a leader in research and innovation (More at https://ec.europa.eu/programmes/horizon2020/en/h2020-section/era-chairs)

Starting in the position: summer 2019 (the expected start date is negotiable).
There are possibilities of tenure through the new projects developed by the ERA Chair.

Requirements for the candidate
The candidate must fulfill the general requirements of the position of a professor as stipulated in the Employment Relations Rules of Tallinn University, Annexes 1 and 2 and in particular, the applicant has to have a PhD degree in digital humanities, digital culture studies or in digital data analytics as well as considerable experience in managing scientific teams and planning research and innovation projects. 

More specifically, the following experience is required for the ERA Chair holder:

  • Strong academic background and international reputation in digital humanities/digital culture studies;
  • A significant scientific track record proven by publications in major international peer-reviewed scientific journals, or patents; 
  • Skills in coordination of international research projects (ideally, within the Framework Programme Horizon 2020);
  • Proven record in securing significant research funding, experience in managing and leading research projects, especially with non-academic partners; 
  • Competences in formulating and managing research teams; 
  • Ability to plan new research projects;
  • Experience in the supervision of PhD students;
  • Experience in working internationally as a result of which international collaboration and networks have been established thus complementing the existing competences at TU.

The selected ERA Chair holder will meet the “Leading Researcher (R4)” criteria as set out in the European Framework for Research Careers

Job responsibilities
The ERA Chair holder will lead a new research group in the field of cultural data analytics under the School of Baltic Film, Media, Arts and Communication (BFM) of Tallinn University, fulfilling the following tasks:

  • Formation of the ERA Chair interdisciplinary research team;
  • Formulation of the ERA Chair research and development management principles;
  • Daily management of the research team;
  • Supervision of the PhD students in the research team;
  • Application analyses of planned research activities;
  • Preparation of the Research Cooperation Strategy and Implementation Plan;
  • Initiation and preparation of Horizon 2020 and other EU research programmes.

Additional remarks

  • Three Tallinn University Schools cooperate in supporting the ERA Chair: the Baltic Film, Media, Arts and Communication School (BFM), the school of Humanities (SH) and the School of Digital Technologies (SDT). 
  • The ERA Chair holder will be given the resources to manage 5-7 senior researchers.

Load: 1,00, including teaching at least 18 EAP of courses per calendar year. 
Salary: A monthly gross salary of 5200 euros (incl. direct taxes as income tax, unemployment insurance and the funded pension payment which are withheld from the salary automatically by the employer), through the funding of the CUDAN project, and in compliance with the Tallinn University remuneration regulations.
Location: Tallinn
Language skills: English (at least C1 level), proven by a language certificate or an equivalent document. Skills in the Estonian language and willingness to learn it are preferred.

More on the CUDAN project at cudan.tlu.ee

Additional information
•    Please address your administrative questions to konkurss@tlu.ee, and
•    Questions on the content to Indrek Ibrus, professor of media innovation, Baltic Film, Media, Arts and Communication School (BFM), Tallinn University. Tel: +372 5697 8885, e-mail: indrek.ibrus@tlu.ee

Required application documents


The candidates of the Professor of Cultural Data Analytics are expected to submit required application documents in English by 26th Febuary 2019 (including) to Personnel Office of Tallinn University (Narva mnt 25, room T-218, 10120, Tallinn, or digitally signed to konkurss@tlu.ee), with the title “Academic competition” as follows:

  • A personally signed application-motivation letter addressed to the Rector in which the candidate provides an overview of the aims that he or she will seek to realise in developing the field of teaching, research and development or creative activity.
  • CV containing data listed in Annex 11 (.doc  or.pdf) of Empoyment Regulation Rules. Data on teaching, research and development and creative activity may also be presented in the form of a printout from databases. In presenting a printout, it must be noted in the CV which data, as listed in Annex 11, are presented as a printout.
  • An action plan for the first  five years of your professorship. The action plan should include the following sub-topics:
    • What could be the strategies for cooperating with external international and/or national partners (both private and public sector)?
    • Your existing experiences and ideas for raising external funding for research;
    • What research direction(s) and activities would you propose for CUDAN in the course of five years;
    • Your existing experiences from supervising graduate students and managing research teams and how can you build on these when heading CUDAN;
    • How would your previous research support your role as professor of Cultural Data Analytics at Tallinn University;
  • Copies of the document proving the qualification to hold the position and its annexes. Originals of the document proving qualification and its annexes or certified copies may be requested from the candidate. If a degree has been earned abroad, an assessment from the ENIC/NARIC Centre certifying the correspondence of that qualification to the requirements established for the employment position, may be requested from the candidate.
  • A list of research publications that sets out in a separate section the research work published in international editions that have an international editorial board and employ a peer review system.  The list of the candidate’s research publications is shown preferably in ETIS;
  • Link to the full text of, or, if it is not possible, a file consisting of up to five representative research publications;
  • if the competition announcement establishes special requirements regarding the knowledge and skills expected of the candidates or if the candidate considers these important, the documents proving possession of such knowledge and skills. 

Selection process

Timeline of the competition (Professor of the Cultural Data Analytics):

1 January 2019 – Announcement of the competition

26 February 2019 – Deadline for the applications

Until 19 March 2019 – Assessment of compliance with the job requirements of the candidates (Personnel Office, Research Administration Office, and Election Committee)

26 March 2019 – The Rector decides whether a candidate will be allowed to participate in the competition or not (on the basis of the documents submitted by the candidate and the opinion of the election committee)

Until 3 May 2019 – II phase of assessment (public lectures (Venia Legendi), expert assessments, meetings with the candidates, etc.)

20 May 2019 – the election of the professor will be held in Senate

  • The Personnel Office shall contact every candidate concerning the Rector’s decision and results of the election as soon as possible, but not latest than 2 weeks after the decision.
  • The election committee of the unit, where the elected position is situated, shall contact the candidates to make the agreements of the time, place and topic of the public lecture and meetings, if necessary.