TTY

Tampere University of Technology (TUT) is an active scientific community of 1,700 employees and more than 8,000 students. The University operates in the form of a foundation and has a long-standing tradition of collaboration with other research institutions and business life. Many of the fields of research and study represented at the University play a key role in addressing global challenges. Internationality is an inherent part of all the University's activities. Welcome to join us at TUT!

Tenure Track (Business Data Analytics)

The Faculty of Business and Built Environment is multidisciplinary by nature. Our research explores questions of sustainable built environment and sustainable, technology-centric competitiveness.

Our research interests in Information and Knowledge Management focus on offering, utilizing and managing information and knowledge in organizations in order to improve their competitive advantage. We seek answers to questions such as how information and/or knowledge is best used by different stakeholders, how it is offered, how it creates value, how it can be improved, and why different challenges and obstacles emerge. We are particularly interested in value creation mechanisms, such as information technologies, data assets, data analytics, work systems, and different types of networks. The candidate appointed to the open tenure track position in Business Data Analytics will work in close collaboration with the Business Data Research Group (DARE). The group explores different data analysis practices, their economic and social impacts, different business systems, and develops value-creating solutions for industries and other organizations.

Job description:

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 DARE research group. 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.

Requirements:

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 on TUT's tenure track system.

We offer:

TUT has ambitious and challenging goals to maintain effective, high-quality research and education and a commitment to make a positive impact on society. TUT is an active research community with a strong community spirit that fosters intense collaboration with industry, business and students, and offers opportunities for growth and advancement in academia. The University is recognized for active international collaboration in both research and education.

For the successful candidate, TUT offers opportunities and support for professional development, such as language courses, pedagogical training, management training and other professional training.

In addition, TUT provides a wide range of staff benefits, such as occupational health care, flexible working hours, excellent campus sports facilities, and several campus restaurants and cafés with staff discounts. TUT received the European Commission’s HR Excellence in Research Award in 2014.

More information on Careers at TUT

Tampere is counted among the major academic hubs in the Nordic countries and offers a dynamic living environment. Tampere region is one of the most rapidly growing urban areas in Finland and home to a vibrant knowledge-intensive entrepreneurial community. The city is an industrial powerhouse that enjoys a rich cultural scene and a reputation as a centre of Finland’s information society. Visit Tampere

Salary:

The salary will be based on both the job demands and the employee's personal performance in accordance with the Finnish University Salary System (YPJ).

The advertised position is typically placed on the job demand level 6 (Assistant Professor) or level 7 (Associate Professor). In addition, employees receive performance-based salary and are covered by TUT’s bonus system.

Trial period:

The appointment is subject to the satisfactory completion of a trial period of four months.

Other:

The position is filled for a fixed-term period of four years. The appointment is expected to begin on 1 March 2018 or as mutually agreed.

TUT’s tenure track system is a four-stage career path leading to a full professorship. More information on TUT's tenure track system.

Candidates may be invited to a video interview during the first stage of the recruitment process. Short-listed candidates will be invited to a personal interview with the Tenure Track Working Group and to an aptitude assessment.

For more information, please contact:

Professor Samuli Pekkola, email samuli.pekkola@tut.fi, tel. +358 40 586 0791

For questions about the recruitment process, please contact HR Specialist Päivi Keskinen, email paivi.keskinen@tut.fi, tel. +358 50 3015253.

How to apply:

Applications must be submitted through TUT’s online employment system. The closing date for applications is 31 October 2017 (10:00 pm UTC). All applications and supporting documents must be written in English.

The applications must include the following documents prepared according to TUT’s instructions:

  1. Curriculum Vitae (.doc or .pdf)

  2. Research plan

  3. List of publications (please highlight the 10 (max) most relevant publications for the position)

  4. Teaching portfolio

  5. References

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