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Colleagues,

 

please consider the following job description for distribution to potential
candidates. 

 

Thanks!

Betina Hollstein & Mario L. Small 

 

 

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 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 social inequality.  

The postdoctoral researcher will help design, execute, and write the results
of research bringing field methods to bear on large-scale, administrative
data analysis.  

Requirements:

*       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 to apply.

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
<mailto:[log in to unmask]> [log in to unmask]

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 (
<mailto:[log in to unmask]> [log in to unmask]) or Prof. Dr.
Betina Hollstein ( <mailto:[log in to unmask]>
[log in to unmask])

 

 

Prof. Dr. Betina Hollstein
University of Bremen
SOCIUM - Research Center on Inequality and Social Policy, Head 
Mary-Somerville-Str. 9, R. 9.3090 
D - 28359 Bremen

tel +49 (0)421-218-58512 /  218-58638 (secr. Ms. Neumann)
e-mail:  <mailto:[log in to unmask]>
[log in to unmask]
 
<https://urldefense.proofpoint.com/v2/url?u=http-3A__www.socium.uni-2Dbremen.de_about-2Dthe-2Dsocium_members_betina-2Dhollstein_e&d=DwIFAw&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=WPZO4B0ppkZ24pzsPwOH7MFdr7RuFLm4_rltnKnontU&s=_iZ3oFJ4_R6_UAPWNmlQE9K_YXGqfUy-XarZtBHDvmE&e= 
n/>
https://urldefense.proofpoint.com/v2/url?u=http-3A__www.socium.uni-2Dbremen.de_about-2Dthe-2Dsocium_members_betina-2Dhollstein_en&d=DwIFAw&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=WPZO4B0ppkZ24pzsPwOH7MFdr7RuFLm4_rltnKnontU&s=ZcOkmR2mBoT7mqFq0uSOsUUSeSK8v8swysNW6E565b8&e= 
/?

QUALISERVICE– Research Data Center for Qualitative Social Science Research
Data, Head
 <https://urldefense.proofpoint.com/v2/url?u=https-3A__www.qualiservice.org_de_&d=DwIFAw&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=WPZO4B0ppkZ24pzsPwOH7MFdr7RuFLm4_rltnKnontU&s=ou46QckX0Lj134tQto4PF8p0U_3xvkQfy2ASDIraRig&e= > https://urldefense.proofpoint.com/v2/url?u=https-3A__www.qualiservice.org_de_&d=DwIFAw&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=WPZO4B0ppkZ24pzsPwOH7MFdr7RuFLm4_rltnKnontU&s=ou46QckX0Lj134tQto4PF8p0U_3xvkQfy2ASDIraRig&e=  -
relaunch!

Recent publications: 
 
<https://urldefense.proofpoint.com/v2/url?u=https-3A__www.socium.uni-2Dbremen.de_ueber-2Ddas-2Dsocium_mitglieder_betina-2Dhollste&d=DwIFAw&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=WPZO4B0ppkZ24pzsPwOH7MFdr7RuFLm4_rltnKnontU&s=CIs02TOSMP76DghC1Kl3KNdYXGRlHeBFCjj7d8zgiyk&e= 
in/publikationen/?publ=8749> What autobiographical narratives tell us about
the life course. Contributions of qualitative sequential analytical methods,
in: Advances in Life Course Research, online-first (18.12.2018),
<https://urldefense.proofpoint.com/v2/url?u=http-3A__dx.doi.org_10.1016_j.alcr.2018.10.001&d=DwIFAw&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=WPZO4B0ppkZ24pzsPwOH7MFdr7RuFLm4_rltnKnontU&s=-5TEYt400NJ9FQFn08jrywps897q7MuI9M8_SHGhYCQ&e= >
doi:10.1016/j.alcr.2018.10.001 

Collecting egocentric network data with visual tools. A comparative study,
in: Network Science, forthcoming (with T. Töpfer & J. Pfeffer)

 


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