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Post-Doctoral Researcher (f/m/d) in computational social sciences
University of Bremen
The University of Bremen, U Bremen Excellence Chair Prof.
Mario L. Small PhD/ Research Group „Large-Scale Data and
Field Research in the Study of Social Networks" at the
SOCIUM - Research Center on Inequality and Social Policy,
invites applications for the following position
Post-Doctoral Researcher (f/m/d)
in computational social sciences
German pay-scale EG 13 TV-L,
full time and limited until December 31, 2023
Start of contract: April 1, 2020 or earlier.
The University of Bremen, a mid-sized university with 320
professors, 19.500 students and a full-spectrum of academic
disciplines is one of Europe's leading research universities
and maintains close cooperation with international universities
and non-university research institutions in the region.
The promotion of young researchers is a core element of
Bremen's research strategy.
The ,U Bremen Excellence Chairs' program is a new initiative
at University of Bremen since 2019. It enables internationally
outstanding researchers to establish their own working
groups at the university and to integrate them into a network
of excellent research institutions worldwide in their respective
disciplines. Mario L. Small's research group will study
"Large-Scale Data and Field Research in the Study of
Social Networks." One major promise of "big data" was the
ability to understand how social networks emerge, operate,
and shape human behavior on a much larger scale than
previously possible. However, as wide-eyed enthusiasm has
given way to sober analysis, researchers and the public have
become increasingly aware of the limitations of such data.
This project will examine the extent to which field-based
research (interview and survey research) can help address
the limits of computationally intensive analysis of large-scale
administrative data. Focusing on problems such as boundary
specification, locality of interaction, algorithmic confounding,
and misinterpretation of meaning, we will examine the extent
to which bringing field research to bear on the analysis of
large-scale administrative data can help improve our
understanding of the relationship between networks and
The postdoctoral researcher will help design, execute, and
write the results of research bringing field methods to bear
on large-scale, administrative data analysis.
expertise in social science computational methods and the
management of large datasets, either expertise or
demonstrated familiarity with research in social networks,
and a completed Ph.D. degree in either sociology or a
related social science.
demonstrated evidence of initiative, independence, drive,
efficiency, productivity, the ability to work in groups, and a
commitment to high quality social science research.
high level of proficiency in English (including demonstrated
academic writing skills), proficiency in German is welcome,
but not required.
experience with working in international projects,
organizing academic events, and developing project
proposals, preferably shown through employment,
fellowship, or extended research stay at an international
research institution within the past five years, is preferred
but not required.
strong interest in developing connections with other
researchers; experience gained at other national/
international research institutions is welcome.
The researcher will also oversee a Ph.D. student at U Bremen
who will conduct qualitative research. The postdoctoral
researcher need not have direct expertise in qualitative
interview methods or in survey methods, but some exposure
to both methods is preferred.
Salary and benefits are linked to the German employee scale
TVL13 (100%). International candidates are highly encouraged
The review process will begin on February 25, 2020.
Applications and inquiries should be sent electronically as
pdf-attachment by February 24, 2020 with the reference
number A386/19 to email@example.com.
Applications will be reviewed until the position is filled.
Please note that the application should be submitted in
English and that we can only accept it if it includes all
required documents as a single PDF file: CV (with publication
record), academic certificates, a sample chapter of your PhD
thesis or other written paper, and a cover letter describing
your background, interests, and motivation for applying. The
application letter should also contain information about the
data set(s) you have worked with.
The University of Bremen has received a number of awards
for its gender and diversity policies and is particularly aiming
to increase the number of female researchers. Applications
from female candidates, international applications and
applications of academics with a migration background are
explicitly welcome. Disabled persons with the same
professional and personal qualifications
will be given preference.
For further information please contact
Prof. Mario L. Small, PhD (mario_small@ harvard.edu) or Prof. Dr. Betina Hollstein