Postdoc position in Innovation Studies and Data Scienc

Aalborg University


February 12, 2022


Postdoc position in Innovation Studies and Data Science

At The Faculty of Social Sciences and Humanities (SSH), Aalborg University Business School, a full-time position as Postdoc in Innovation Studies and Data Science is open for appointment from 1. May or soon thereafter. The appointment is available for a period of 3 years. Workplace is in Aalborg.

Job description

Aalborg University Business School (AAUBS) is looking for a postdoc who can proactively contribute to the AI Denmark project (https: // as well as to applied data science teaching, for instance at the Social Data Science specialization (https: //

The appointee will be joining a team of researchers - at AAUBS and from other AI Denmark project partners - to contribute to research based on the AI Denmark project cases as well as develop related research initiatives at AAUBS.

The appointee will also become part of the IKE (Innovation Knowledge and Economic Dynamics) research group and the AI Growth Lab at AAUBS.

The position is part of the development strategy of AAUBS. The appointee is expected to contribute to the research and teaching activities with a specific focus on programmes and modules with data science elements. Preference will be given to candidates with research interests in business economics in general, and in particular innovation management, innovation economics and industrial dynamics.

Regarding teaching, the position is targeted at quantitative method and applied data science teaching. Recently, data science and business analytics methods (and platforms) have become more prominent parts of the business economics education at AAUBS, for instance within statistics, mathematics and applied quantitative methods courses.

Qualification requirements Candidates must have scientific qualifications at PhD level within fields relevant for business economics. In the selection of candidates, emphasis will be placed on research potential in relation to innovation studies and industrial dynamics, in addition to pedagogical qualifications and experience with supervision and lectures. To a limited extent other tasks may occur in the position.

Candidates are expected to be experienced with quantitative analysis (statistic and econometric analysis) as well as data science methods including handling of large datasets, machine learning and data visualisation using Python or R.

Preference will be given to candidates with a record in teaching and supervision of BSc and MSc projects. Academics with experience in Problem- Based Learning (PBL) are strongly encouraged to apply. Ability to teach in both English and Danish is preferred.

The application must contain the following

  • Motivated application.
  • Current CV.
  • Complete list of publications.
  • List of publications that the applicant wishes to be considered. A maximum of 5 publications may be submitted.
  • Co-author statements in relation to publications written with other authors must be enclosed with a declaration from each of the authors, stating the extent of the applicant's contribution to the total work. The declaration must be signed by the co-authors. Template co-author declaration
  • Education (copies of documentation for degrees obtained).
  • Documentation for teaching qualifications. Guidance Teaching portfolio
  • Assessment An expert assessment committee will assess all candidates.

    Shortlisting will be applied. This means that subsequent to the deadline for applications the head of department supported by the chair of the assessment committee will select candidates for assessment. All applicants will be informed whether they will be assessed or not. The selected applicants will be informed of the composition of the assessment committee, and each applicant will have the opportunity to comment on the part of the assessment that applies to the applicant in question. When the employment process has been terminated, a final rejection will be sent to the applicants who are not considered for the position.

    Contact information You may obtain further information about the academic contents of the position from Head of Business School, Christian Nielsen phone +45 9940 2702, e-mail

    Information about the Department can be found on the following website: https: // www.

    Any enquiries relating to the application procedure should be addressed to Human Resources on email

    Your application including attachments must be sent electronically by clicking the “Apply online” link below. The application must be written in English.


    Employment is in accordance with the Ministerial Order on the Appointment of Academic Staff at Universities (the Appointment Order) and the Ministry of Finance's current Job Structure for Academic Staff at Universities. Employment and salary are in accordance with the collective agreement for state-employed academics.

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    Tue Feb 15 00:00:00 CET 2022