<div dir="ltr"><p style="margin:0cm 0cm 0.0001pt;color:black"><font size="2"><span style="font-family:verdana,sans-serif">The <i>Digital Mobilization </i>theme at the <i>Center
for Humans and Machines </i>(Director: Prof. Dr. Iyad Rahwan), Max Planck
Institute for Human Development, is seeking applications for <span></span></span></font></p>
<p style="margin:0cm 0cm 0.0001pt;color:black"><font size="2"><span style="font-family:verdana,sans-serif"> </span></font></p>
<p style="margin:0cm 0cm 0.0001pt;color:black"><font size="2"><span style="font-family:verdana,sans-serif"><b>Postdoctoral Research Positions </b><span></span></span></font></p>
<p style="margin:0cm 0cm 0.0001pt;color:black"><font size="2"><span style="font-family:verdana,sans-serif"><b>(E 13 TVöD; 39 hours/week) </b><span></span></span></font></p>
<p style="margin:0cm 0cm 0.0001pt;color:black"><font size="2"><span style="font-family:verdana,sans-serif"> </span></font></p>
<p style="margin:0cm 0cm 0.0001pt;color:black"><font size="2"><span style="font-family:verdana,sans-serif">Funding for the postdoctoral positions is available
for two years, with possibility of extension for a third year. The positions
are available starting April 1, 2020. <span></span></span></font></p>
<p style="margin:0cm 0cm 0.0001pt;color:black"><font size="2"><span style="font-family:verdana,sans-serif"><b><span> </span></b></span></font></p>
<p style="margin:0cm 0cm 0.0001pt;color:black"><font size="2"><span style="font-family:verdana,sans-serif"><b>Job Description </b><span></span></span></font></p>
<p style="margin:0cm 0cm 0.0001pt;color:black"><font size="2"><span style="font-family:verdana,sans-serif">With the explosion of Artificial Intelligence and its
deployment in our digitally mediated social lives, there are open questions
that “Digital Mobilization” project (Principal Investigator: Dr. Manuel
Cebrian) seeks to shed light on as they are critical for the social cohesion
and political progress of societies all over the world, ever more reliant on
digital platforms for information spreading and political mobilization. Have
AI-powered digital social networks improved or harmed our ability to mobilize
others for a cause? Are digital social networks a force of mobilization and
collaboration, or instead of de-mobilization and conflict? What current
institutions, platforms, social structures are making the best use of
Crowdsourcing and Collective Intelligence, and how can we learn from them so
that society can race with the rapid progress of Artificial Intelligence? To study
these questions the project uses tools from Network Science and Computational
Social Science.<span></span></span></font></p>
<p style="margin:0cm 0cm 0.0001pt;color:black"><font size="2"><span style="font-family:verdana,sans-serif">We expect that the post-doctoral researcher will work
on quantitative and technical aspects of the project, providing expertise in
using current and novel approaches to network modeling, information theoretic
measures, complex systems modeling, and statistical inference. Extensive
experience in collection, filtering, and analysis of mass media as well as
social media data is required. <span></span></span></font></p>
<p style="margin:0cm 0cm 0.0001pt;color:black"><font size="2"><span style="font-family:verdana,sans-serif">The successful candidate will have no formal teaching
requirements. The project is part of the Center for Humans and Machines
(Director: Iyad Rahwan) at the Max Planck Institute for Human Development
(MPIB) in Berlin. <span></span></span></font></p>
<p style="margin:0cm 0cm 0.0001pt;color:black"><font size="2"><span style="font-family:verdana,sans-serif"> </span></font></p>
<p style="margin:0cm 0cm 0.0001pt;color:black"><font size="2"><span style="font-family:verdana,sans-serif"><b>Requirements </b><span></span></span></font></p>
<p style="margin:0cm 0cm 0.0001pt;color:black"><font size="2"><span style="font-family:verdana,sans-serif">We are searching a postdoc with a strong interest and
established expertise in network science, computational social science,
information theory, complex systems, evolutionary modeling, computer science
and machine learning. The successful applicant is expected to hold a doctoral
degree in computer science, physics, applied mathematics, epidemiology, or a
related quantitative field. <span></span></span></font></p>
<p style="margin:0cm 0cm 0.0001pt;color:black"><font size="2"><span style="font-family:verdana,sans-serif"> </span></font></p>
<p style="margin:0cm 0cm 0.0001pt;color:black"><font size="2"><span style="font-family:verdana,sans-serif"><i>Essential: </i><span></span></span></font></p>
<p style="margin:0cm 0cm 0.0001pt;color:black"><font size="2"><span style="font-family:verdana,sans-serif">● The successful
applicant needs to possess: <span></span></span></font></p>
<p style="margin:0cm 0cm 0.0001pt;color:black"><font size="2"><span style="font-family:verdana,sans-serif">● Demonstrated
prior work in large-scale observational studies of networks and social systems.
<span></span></span></font></p>
<p style="margin:0cm 0cm 0.0001pt;color:black"><font size="2"><span style="font-family:verdana,sans-serif">● Demonstrated
Experience in writing scientific papers in network science and computational
social science. <span></span></span></font></p>
<p style="margin:0cm 0cm 0.0001pt;color:black"><font size="2"><span style="font-family:verdana,sans-serif">● Extensive
experience in collection, filtering, and analysis of mass media as well as
social media data is required. <span></span></span></font></p>
<p style="margin:0cm 0cm 0.0001pt;color:black"><font size="2"><span style="font-family:verdana,sans-serif">● Deep Knowledge in
working with Social Media APIs as well as state-of-the-art data privacy and
data anonymization techniques. <span></span></span></font></p>
<p style="margin:0cm 0cm 0.0001pt;color:black"><font size="2"><span style="font-family:verdana,sans-serif">● Knowledge of
state-of-the-art literature in Artificial Intelligence and Machine Learning. <span></span></span></font></p>
<p style="margin:0cm 0cm 0.0001pt;color:black"><font size="2"><span style="font-family:verdana,sans-serif">● Demonstrated
understanding of causal inference methodologies. <span></span></span></font></p>
<p style="margin:0cm 0cm 0.0001pt;color:black"><font size="2"><span style="font-family:verdana,sans-serif">● Outstanding
experience in data science, as demonstrated by a track record of publications
in top scientific journals. <span></span></span></font></p>
<p style="margin:0cm 0cm 0.0001pt;color:black"><font size="2"><span style="font-family:verdana,sans-serif">● Excellent
programming skills in Python, as well as proficiency with libraries for data
manipulation and analysis. <span></span></span></font></p>
<p style="margin:0cm 0cm 0.0001pt;color:black"><font size="2"><span style="font-family:verdana,sans-serif">● High proficiency
in English. <span></span></span></font></p>
<p style="margin:0cm 0cm 0.0001pt;color:black"><font size="2"><span style="font-family:verdana,sans-serif"> </span></font></p>
<p style="margin:0cm 0cm 0.0001pt;color:black"><font size="2"><span style="font-family:verdana,sans-serif"><i>Preferable: </i><span></span></span></font></p>
<p style="margin:0cm 0cm 0.0001pt;color:black"><font size="2"><span style="font-family:verdana,sans-serif">● Proficiency also
in one (or more) of the following skills will be advantageous to the successful
applicant: <span></span></span></font></p>
<p style="margin:0cm 0cm 0.0001pt;color:black"><font size="2"><span style="font-family:verdana,sans-serif">● Expertise in
building software tools to track mass and social media. <span></span></span></font></p>
<p style="margin:0cm 0cm 0.0001pt;color:black"><font size="2"><span style="font-family:verdana,sans-serif">● Expertise in
modelling the propagation of hashtags, cultural memes and related informational
units, and estimation of its real-world impact on the reached audience. <span></span></span></font></p>
<p style="margin:0cm 0cm 0.0001pt;color:black"><font size="2"><span style="font-family:verdana,sans-serif">● Expertise in Information
Theory and Algorithmic Information Theory. <span></span></span></font></p>
<p style="margin:0cm 0cm 0.0001pt;color:black"><font size="2"><span style="font-family:verdana,sans-serif">● Expertise in
Evolutionary Modeling and Cultural Evolution. <span></span></span></font></p>
<p style="margin:0cm 0cm 0.0001pt;color:black"><font size="2"><span style="font-family:verdana,sans-serif">● Expertise in
phylogenetic models and tree-like datasets. <span></span></span></font></p>
<p style="margin:0cm 0cm 0.0001pt;color:black"><font size="2"><span style="font-family:verdana,sans-serif">● Expertise in
Advanced Statistics and Complex Stochastic Models. <span></span></span></font></p>
<p style="margin:0cm 0cm 0.0001pt;color:black"><font size="2"><span style="font-family:verdana,sans-serif">● Expertise in
Algorithmic Game Theory. <span></span></span></font></p>
<p style="margin:0cm 0cm 0.0001pt;color:black"><font size="2"><span style="font-family:verdana,sans-serif">● High ability to
work independently. <span></span></span></font></p>
<p style="margin:0cm 0cm 0.0001pt;color:black"><font size="2"><span style="font-family:verdana,sans-serif"> </span></font></p>
<p style="margin:0cm 0cm 0.0001pt;color:black"><font size="2"><span style="font-family:verdana,sans-serif">The Max Planck
Society strives for gender and diversity equality. We welcome applications from
all backgrounds. <span></span></span></font></p>
<p style="margin:0cm 0cm 0.0001pt;color:black"><font size="2"><span style="font-family:verdana,sans-serif">The Max Planck
Society is committed to increasing the number of individuals with disabilities
in its workforce and therefore encourages applications from such qualified
individuals. <span></span></span></font></p>
<p style="margin:0cm 0cm 0.0001pt;color:black"><font size="2"><span style="font-family:verdana,sans-serif"> </span></font></p>
<p style="margin:0cm 0cm 0.0001pt;color:black"><font size="2"><span style="font-family:verdana,sans-serif">To apply, please
send (as ONE FILE and via email, with the sentence “Postdoc application in
Machine Culture” in the subject line) a statement of research interests, a CV,
a copy of relevant certificates, (p)reprints of three publications lead by the
applicant, and a list of four references to Prof. Dr. Iyad Rahwan, MPI for
Human Development, Lentzeallee 94, 14195 Berlin (<a href="mailto:sekrahwan@mpib-berlin.mpg.de" target="_blank">sekrahwan@mpib-berlin.mpg.de</a>).
We are kindly asking you to submit your application without a photo.
Applications will be evaluated on a first-come-first-serve basis, and will
continue to be received until October 1st or the positions are filled. </span></font></p></div>