Professor in Data Management

Updated: 2 months ago
Job Type: FullTime
Deadline: 13 Jun 2021

The Department of Computer Science at Aalto University – in the top-20 young universities worldwide – invites applications for a tenured position at the Associate or Full Professor level in the area of Data Management. 

We expect the applicants to demonstrate excellence and leadership in research, in addition to high teaching ability. The department is committed to fostering an inclusive environment with diverse faculty members. Therefore, applications from groups that have been underrepresented in computer science are particularly sought. The position provides a competitive salary and comes with a start-up package. The contract includes occupational health benefits. Relocation services are also available for people coming from abroad.

The Department of Computer Science  is an internationally-oriented community and home to world-class research in modern computer science, combining research on foundations and innovative applications. With 45 professors and more than 400 employees from 45 countries, it is the largest department at Aalto University and the largest computer science unit in Finland. Computer Science research at Aalto University ranks high in several prominent surveys (3rd in Europe and 33rd worldwide in the U.S. News Best Global Universities subject ranking 2020; 47th worldwide in Shanghai subject ranking 2019; and 56th worldwide in Times Higher Education subject ranking 2020).

Requirements and Process

The position is focused on the development of large-scale data systems and processing needed for modern data-intensive applications. We expect the professor in data management to lead the development of data management research and teaching at Aalto University. Applicants are required to have a doctoral degree in Computer Science and an outstanding track-record in data management research, including publications in top venues (e.g. VLDB, PODS, TODS, TDKE), success in acquiring external funding for research, and demonstrated academic leadership.
Research topics relevant to the position can include but are not limited to:

  • Big data warehouses/analytics systems

  • Distributed and cloud database systems

  • Knowledge and data engineering methodologies and techniques

  • Modern databases, including Non-relational (NoSQL), in-memory, graph and multi-model databases

  • Online, distributed and stream transaction and query processing

The applicants will be reviewed on the basis of their research achievements in relation to their career stage, their teaching merits and leadership in the scientific community. External reviews will also be used as part of the evaluation. Short-listed applicants will be invited to present and discuss their research with faculty. Evaluation of the applicants follows the tenure track system at Aalto University . A person at any level of the tenure track system is expected to perform world‐class research, to teach, advise and otherwise advance both graduate and undergraduate education, to be an active member of the international scientific community, and to exhibit academic leadership. Career advances on the tenure track are based on scheduled performance assessments, which take into account the candidate’s merits in all these areas.

How to Apply

Applications are to be addressed to the Dean of the School of Science and submitted electronically through the Apply now! link below. Applications will close on June 13, 2021 at 23:59 EET (UTC+3). The application material must be in English and consist of one single file in PDF format, with the following sections:

  • cover letter including a summary of merits and most important achievements,

  • curriculum vitae (recommended length: two pages),

  • research statement (recommended length: four pages),

  • teaching statement (recommended length: four pages),

  • names, positions, affiliation(s) and e-mail addresses of five referees available to provide recommendations at a later stage of the application process,

  • list of publications with no more than five of them clearly highlighted as the most important. 

  • Further Information

    Please contact Professor Juho Rousu or in recruitment process related questions HR Coordinator Laura Kuusisto-Noponen (emails:

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