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SOCNET  July 2017

SOCNET July 2017

Subject:

2 Post-Doc opportunities in Computational Social Science at RWTH Aachen University

From:

Markus Strohmaier <[log in to unmask]>

Reply-To:

Markus Strohmaier <[log in to unmask]>

Date:

Tue, 4 Jul 2017 21:14:36 +0200

Content-Type:

text/plain

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text/plain (83 lines)

*****  To join INSNA, visit http://www.insna.org  *****

Dear colleagues,

I would like to point you to two exciting positions at the new chair for 
computational social sciences and humanities at RWTH Aachen. Review of 
applications will begin July 10th.

I'd be available for any questions you might have.

with best regards,
Markus

*2 Post-Doc opportunities (2 years) in Social Data Science*

at RWTH Aachen University, Gemrany
Prof. Markus Strohmaier
Chair of Computational Social Sciences and Humanities

Our profile
The Chair of Computational Social Sciences and Humanities contributes 
essentially to the development of RWTH Aachen University as an 
integrated interdisciplinary university of tech- nology by building 
bridges between the Department of Computer Science and the Humanities 
and Social Sciences.

At the chair, the potential and challenges of computational methods and 
big data in social science contexts are explored and analysed via 
practical experiments, computational models and studies, and empirical 
observations. At the same time, we analyse the impact of an increasing 
digitalisation (web, smartphones, etc.) and the influence of algorithms 
on social systems.
The main fields of research at present are:

i)    Measurements of digital societies: how can the state of a social 
system be inferred from its digital footprint (from social media, from 
ubiquitous sensors, etc.) How can different biases in the digital 
footprint be recognized and measured?
ii)    Algorithms: which influence do algorithms have on digitalized 
social systems (cf. filter bubble); do algorithms contribute to 
polarization, discrimination, inequality etc. in a digitalized society? 
What kind of bias do algorithms produce?
iii)    Machine learning methods for big data: which methods need to be 
developed in the social sciences and humanities to analyse large 
noise-afflicted data sets? Which forms of validation are suitable and 
which ones need to be redesigned? How do these methods scale and degrade 
with ill-defined problems?
iv)    Designing socio-technical systems: how can knowledge and theories 
from social sciences and humanities be placed in the development of 
socio-technical systems? How can social sciences and humanities 
perspectives contribute to the scientific questions in computer science?

Your profile

You hold a PhD/doctoral degree in Computer Science, Mathematics, Physics 
or related subjects. Ideally, you have knowledge in the areas of Machine 
Learning, Knowledge Discovery, Information Retrieval, Data/Text Mining 
and expertise in data-based interdisciplinary projects in the area of 
Web Science, Computational Social Science, Digital Humanities, Complex 
Sytems/Network Science or Social Media Analytics. Your previous 
scientific work has been accepted in renowned conferences and/or 
journals relevant for your field.
You have responsible leadership skills, you are motivated, a good 
team-player and have strong communication skills. You have fluent 
proficiency in oral and written English.

Your responsibilities

You will carry out research and teaching activities, including the 
conception and execution of courses and research projects. Publications 
in competitive journals and conferences are expected. An interest in 
pursuing a Habilitation is advantageous.

Please send your applications via email to

Prof. Dr. Markus Strohmaier
[log in to unmask]

_____________________________________________________________________
SOCNET is a service of INSNA, the professional association for social
network researchers (http://www.insna.org). To unsubscribe, send
an email message to [log in to unmask] containing the line
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