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Kristina Klein

2 months ago

PhD Positions in Diginomics Research Group on Automation and Augmentation University of Bremen in Germany

Degree Level

PhD

Field of study

Computer Science

Funding

Paid PhD employment at TV-L E 13, part-time 75% of weekly working hours (29.4 hrs/week), fixed-term for 3 years. Gross annual salary for a full-time equivalent is stated as €57,112.44 to €81,176.28 depending on experience and pay grade assignment. Includes public-sector pension (VBL), annual bonus, vacation, flexible working, and other employee benefits.

Deadline

Expired

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Country

Germany

University

University of Bremen

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Keywords

Computer Science
Psychology
Information Technology
Marketing
Business
Python Programming
Management
Automation
Digitalization
Logistics Management
Qualitative Method
Economics
Information Systems

About this position

The University of Bremen is inviting applications for up to four PhD Fellow / PhD candidate positions in the Diginomics Research Group at Faculty 7: Business Studies and Economics. The cohort will work with established professors including Julia Kensbock, Kristina Klein, Benjamin Müller, and Tobias Röth on the theme “Still made by humans? The ambivalence of automation and augmentation”.

This doctoral opportunity sits at the intersection of business studies, economics, information systems, management, organizational research, innovation management, marketing, and logistics. The group studies how digital technologies automate organizational processes and tasks while also augmenting human behavior, and how these changes affect teams, innovation, marketing, information systems, and related business practices.

The positions are fixed-term for 3 years and offered as TV-L E 13 employment at 75% part-time (29.4 hours/week). The role includes teaching, research participation, conference organization, and other university duties, while also allowing substantial time for the completion of a doctoral dissertation.

Applicants should have an above-average master’s degree in economics, business administration, information systems, psychology, or a related field. Candidates in the final phase of their master’s degree may also be considered, but the degree certificate must be submitted before hiring. Strong English skills are required (CEF C2, minimum C1), and German is an advantage. Experience with empirical methods and tools such as Python, Stata, Matlab, R, or MAXQDA is desirable.

The post offers a research-rich environment with support for theoretical, empirical, and experimental methods, publication opportunities in peer-reviewed journals, networking and conference participation, and the possibility of a visiting-scholar stay at partner universities. Additional benefits include pension coverage, vacation, flexible working, and training opportunities.

Deadline: 18 August 2026. Start: as soon as possible, no earlier than 1 October 2026.

How to apply: Send a single PDF containing your cover letter, CV, qualification certificates, and references by unencrypted email to Prof. Dr. Kristina Klein, quoting reference number A135-26. You may also apply by post to the University of Bremen address listed in the announcement.

Funding details

Paid PhD employment at TV-L E 13, part-time 75% of weekly working hours (29.4 hrs/week), fixed-term for 3 years. Gross annual salary for a full-time equivalent is stated as €57,112.44 to €81,176.28 depending on experience and pay grade assignment. Includes public-sector pension (VBL), annual bonus, vacation, flexible working, and other employee benefits.

What's required

An above-average master's degree, normally totaling 300 ECTS including bachelor studies, in economics, business administration, information systems, psychology, or a related subject. Applicants in the final phase of the master's degree may also be considered, but the master's certificate must be submitted before hiring. Strong spoken and written English at CEF level C2, minimum C1, is required; German skills are a plus. Experience with quantitative or qualitative empirical methods and software such as Python, Stata, Matlab, R, or MAXQDA is expected, along with communication skills, team orientation, independent working style, and scientific curiosity.

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