Postdoc in corporate networks and computational social science

CBS Student Advisory; København; On-site; DKK 420,000 - 520,000; Full time

Job summary

Copenhagen Business School invites applications for a postdoctoral position linked to the CLONE project (Consequences of Long-term Organizational Embeddedness). The role focuses on corporate networks, computational social science, and large-scale data infrastructure.

The candidate will develop, analyze, and disseminate the project’s corporate network data, combining independent research with collaborative data work and teaching participation.

Qualifications

• PhD or equivalent required; strong research potential.
• Emphasis on quantitative and computational skills.
• Experience with social network analysis and large datasets is valuable.

Responsibilities

• Develop, analyze and make accessible the project's corporate network data.
• Engage in independent research plus collaborative data development.
• Contribute to teaching and research activities within the department.

Skills

Quantitative analysis

Computational skills

Social network analysis

Large-scale data management

R

Python

Record linkage

Education

PhD

Tools

R

Python

CLONE database

Job description

Enhed

Institut for Organisation

Ansøgningsfrist

• oktober 2026

Copenhagen Business School, Department of Organization invites applications for a vacant Postdoc in corporate networks and computational social science

Copenhagen Business School invites applications for a postdoctoral position associated with the CLONE project (Consequences of Long-term Organizational Embeddedness). The position offers an opportunity to work at the intersection of corporate network analysis, computational social science, economic sociology, and large-scale research infrastructure.

The CLONE project studies the structure and transformation of corporate networks and the organizations and individuals that constitute them. A central ambition of the project is to develop data infrastructure that makes it possible to analyse corporate networks systematically and to connect network structures to firms' economic characteristics, activities, and representations of themselves.

Role

The successful candidate will play a central role in developing, analysing, and making accessible the project's corporate network data. The position combines independent research with collaborative data development and provides considerable opportunities for developing new research using a unique combination of network, accounting, and textual data.

Examples of research areas that the Postdoc might cover:

• Corporate networks and elite structures
• Corporate data infrastructure and research databases
• Computational analysis of annual reports and other corporate texts

The Postdoc is a non-tenured position for a one-year period with research obligation.

To fulfill the research requirements of the position, the applicant chosen is expected to be physically present on a regular basis and actively participate in the teaching and research activities of the Department.

Qualifications

The applicant must hold a PhD or the equivalent. In assessing applications, particular emphasis will be placed on research potential.

Emphasis is placed on research relevant to the job description.

The ideal candidate has strong quantitative and computational skills, with experience in social network analysis and large-scale data management. Experience with corporate, accounting or textual data, record linkage, and programming in R, Python or related tools is an advantage. Knowledge of the CLONE database and historical developments of Danish corporate networks is key to be able to fulfill the tasks of the position.

The applicant must have professional proficiency in English (written and spoken).

Copenhagen Business School has a broad commitment to the excellence, distinctiveness and relevance of its teaching and research programmes.

For further information please contact:

PI Christoph Houman Ellersgaard, [e-mail] [phone]. Information about the department may be found at www.cbs.dk/ioa

Appointment

and salary will be in accordance with the Ministry of Finance’s agreement with the Central Academic Organisation.

Recruitment procedure

The Recruitment Committee will shortlist minimum two applicants; when possible five or more applicants will be shortlisted. The shortlisted applicants will be assessed by the Assessment Committee. All applicants will be notified of their status in the recruitment process shortly after the application deadline.

The applicants selected for assessment will be notified about the composition of the Assessment Committee and later in the process about the result of the assessment.

Once the recruitment process is completed each applicant will be notified of the outcome of their application.

Closing date: October 21, 2026

Copenhagen Business School must receive all application material, including all appendices (see items above), by the application deadline.

Copenhagen Business School invites all qualified candidates to apply for the position. An appointment committee will review the applications and invite a selection of qualified candidates to an interview.

One of CBS’ strategic goals is the promotion of diversity, which is why every effort has been made to ensure a recruitment process that reduces potential bias. Applicants are therefore encouraged not to include a photo or unnecessary personal information in their application.

Details about Copenhagen Business School and the department are available at www.cbs.dk.

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