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Tenure track (Business Data Analytics)

Tampere University of Technology (TUT)

Tampere, Pirkanmaa 33720
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Full Time
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  • Information Technology
  • Management
  • Research
Tampere University of Technology (TUT)
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Job Details

We invite applications for an open tenure track position in the area of Business Data Analytics.

We are broadly interested in candidates who complement our current expertise and activities in the field and the business data research group (DARE). We are interested in candidates with an understanding of both the business domain and the methods and tools of data analytics. Candidates with expertise in only one of these areas do not fulfil the requirements of the position. However, we have no preferences for the candidates’ business domain, methodological stance (such as hypothesis-driven vs. data-driven research), or their approach towards data analytics.

The candidates’ research may explore several different perspectives on data analytics in a business context. We are especially looking for candidates with expertise in one or more of the following areas:

  • data-based value creation

  • data-based decision making

  • tools and methods of data analysis for collecting, analysing and visualizing data and for supporting decision-making

  • tools and methods for intelligent business data analysis

  • data governance in business and for business data (including data cleaning, quality improvement, data processes, etc.)

  • visualization of business data

  • software applications for data analysis in a business context.

The successful candidate is expected to:

  • pursue and supervise scientific research in the field

  • participate in education in the field of industrial and information management

  • participate in the activities of the national and international scientific communities

  • build networks with research groups at TUT, companies and other organizations

  • acquire external funding

  • commit to the strategy of the University

The position will be filled at the level of Assistant Professor (1st term or 2nd term) or Associate Professor.


All candidates considered for a tenure track position are expected to:

  • hold an applicable doctoral degree in a relevant field of science

  • demonstrate the capacity for independent scholarly activity

  • possess the teaching skills required for the successful performance of their duties, and

  • have the ability to collaborate in a multidisciplinary university environment and with industry.

We appreciate a strong and ambitious publication record and previous experience of research funding acquisition, thesis supervision and collaboration with research networks.

More information and instructions how to apply: The closing date for applications is 31 October 2017.

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